BUILDING THE NIST AI RISK MANAGEMENT FRAMEWORK: WORKSHOP #2

SPEAKER BIOGRAPHIES

Elham Tabassi

National Institute of Standards and Technology

Elham Tabassi is the Chief of Staff in the Information Technology Laboratory 

(ITL) at the National Institute of Standards and Technology (NIST). She leads 

NIST Trustworthy and Responsible AI program that aims to cultivate trust in 

the design, development, and use of AI technologies by improving 

measurement science, standards, and related tools in ways that enhance economic security and 

improve quality of life. She has been working on various machine learning and computer vision 

research projects with applications in biometrics evaluation and standards since she joined NIST 

in 1999. She is a member of the National AI Resource Research Task Force, a senior member of 

IEEE, and a fellow of Washington Academy of Sciences.

Alondra Nelson 

Head of the White House Office of Science and Technology Policy

Dr. Alondra Nelson is performing the duties of the Director of the White House 

Office of Science and Technology Policy (OSTP). Nelson assumed this role on 

February 17, 2022. She leads OSTP’s six policy divisions in their work to 

advance critical Administration priorities including groundbreaking clean 

energy investments; a people’s Bill of Rights for automated technologies; a national strategy for 

STEM equity; appointment of the nation’s Chief Technology Officer; data-driven guidance for 

implementing the Bipartisan Infrastructure Law; a transformative, life-saving Community 

Connected Health initiative; and programs to ensure the U.S. remains a magnet for the world’s 

top innovators and scientists. Dr. Nelson, a Deputy Assistant to the President, has served since 

Day 1 of the Biden-Harris Administration as Deputy Director of the newly-created OSTP 

Science and Society Division. In that role, Nelson directed priority efforts to protect the integrity 

of science in the federal government, broaden participation in STEM fields, strengthen the U.S. 

research infrastructure, and ensure that all Americans have equitable access to the benefits of 

new and emerging technologies and scientific innovation. She has played a key role in 

overseeing the implementation of the President’s early directives on Restoring Trust in 

Government Through Scientific Integrity and Evidence-Based Policymaking and on Advancing 

Racial Equity and Support for Underserved Communities Through the Federal Government. A 

renowned scholar of science, technology, medicine, and social inequality, Nelson has served 

since 2019 as the Harold F. Linder Professor at the Institute for Advanced Study in Princeton, 

New Jersey and was previously Dean of Social Science at Columbia University. From 2014 to 

2017, she led the Social Science Research Council as the international research organization’s 

president and CEO, directing historic efforts to apply the insights of social science to the work of 

making technology development more equitable. Nelson is the author of numerous books and 

articles. She is a fellow of the American Association for the Advancement of Science and a 

member of the National Academy of Medicine and the American Academy of Arts and Sciences.
PANEL 1: AI RISK FRAMING AND AI RMF AUDIENCE

Hodan Omaar 

Center for Data Innovation, Information Technology & Innovation 

Foundation 

Hodan Omaar is a senior policy analyst at the Center for Data Innovation, a nonprofit, non-partisan think tank. Hodan's work covers U.S. policy in artificial 

intelligence across sectors such as healthcare, education, and government and 

she speaks and writes on a variety of issues related to high-performance 

computing, quantum computing, and data-driven innovation.

Tara Hairston

Alliance for Automotive Innovation 

Tara supports policy development on technology, innovation, and mobility 

policy issues, including artificial intelligence, cybersecurity, intellectual property 

rights protection, emerging transportation technologies, and new mobility 

models. Prior to joining Auto Innovators, Tara spent over five years as the Head of Government 

Relations, North America for Kaspersky and nearly a decade working on federal and state policy 

at Honda. She holds a double B.A. in Political Science and International Relations from Saint 

Joseph’s College.

Richard Mallah 

The Future of Life Institute

Richard Mallah is Director of AI Projects at The Future of Life Institute, 

where he does metaresearch, analysis, advocacy, strategy, and field building 

regarding technical, strategy, and policy aspects of transformative AI safety. 

From December 2015 Richard was on the founding team of the IEEE Global 

Initiative on Ethics of Autonomous and Intelligent Systems and continues to serve on its 

Executive Committee. He co-chairs the recurring SafeAI and AISafety technical safety 

workshops at AAAI and IJCAI, and in 2021 was the Executive Director of the Consortium on 

the Landscape of AI Safety, for which he was drafted because of his AI safety field landscaping 

& synthesis work at FLI. Richard has served in the Safety and the Labor & Economy Working 

Groups at Partnership on AI, is an advisor to The Future Society, and is an Honorary Senior 

Fellow at the Foresight Institute. Mr. Mallah has been working in machine learning and AI in 

industry for over twenty years, spanning many roles across R&D including algorithms research, 

research management, product team management, CTO, chief scientist, and strategy consulting; 

in total he’s worked on over a hundred AI/ML-related technical projects from these different 

perspectives. Ever-focused on innovation yet mindful of managing risks, Richard has regularly 

aligned applied research drivers with novel research directions in trustworthy AI. On the 

applications side, heading enterprise risk management systems at the world’s largest asset 

manager during the financial crisis lent appreciation for the interplay among systemic tail risks, 

technology, multiscale foresight, and risk reduction. Richard advises AI safety startups, VC 

funds, incubators, academics, governments, international multistakeholder bodies, and NGOs on 

trustworthy AI, scalable AI safety, scalable AI ethics, wide-angle sustainability, ML model risk 

management, complexity management, strategy, and assurance. He holds a degree in Computer 

Science with a specialization in Intelligent Systems from Columbia University.
Ufuk Topcu

University of Texas at Austin

Ufuk Topcu is an Associate Professor in the Department of Aerospace 

Engineering and Engineering Mechanics at The University of Texas at 

Austin. He is a core faculty member at the Oden Institute for Computational 

Engineering and Sciences and Texas Robotics and the director of the 

Autonomous Systems Group. Ufuk obtained his Doctor of Philosophy degree from the 

University of California, Berkeley in 2008. Prior to joining The University of Texas at Austin, he 

was with the Department of Electrical and Systems Engineering at the University of 

Pennsylvania. He was a postdoctoral scholar at the California Institute of Technology until 2012. 

Ufuk’s research focuses on the theoretical and algorithmic aspects of the design and verification 

of autonomous systems, typically in the intersection of formal methods, reinforcement learning, 

and control theory. He takes a relatively broad view on autonomy and tends to tackle abstract 

problems motivated by challenges cutting across multiple applications of autonomy. His research 

contributions have been recognized by the NSF CAREER Award, the Air Force Young 

Investigator Award, the IEEE CSS Antonio Ruberti Young Researcher Prize, and Oden Institute 

Distinguished Researcher Award. He is a member of the Computing Community Consortium 

Council.

Christian Troncoso 

BSA: The Software Alliance

Christian Troncoso is Senior Director, Policy for BSA | The Software Alliance. 

He leads BSA’s global engagement on AI policy, copyright, intermediary 

liability, and export controls. Based in Washington DC, Christian advises the 

world’s leading software companies on the regulatory implications of emerging 

technologies, helping them anticipate shifts in the legal landscape and craft 

public policy strategies to limit their risks. Christian engages with government leaders to shape a 

global policy environment that is conducive to innovation and that promotes trust in the 

technologies that are reshaping the world. Prior to joining BSA, he served as Senior Counsel for 

the Entertainment Software Association, where he advocated on behalf of video game publishers 

in the United States and before foreign governments. Christian earned an LL.M. with a focus on 

intellectual property from The George Washington University, a J.D. from the University of 

Denver, and a bachelor’s degree from the University of Richmond. He is based in BSA’s 

Washington, DC, office.

PANEL 2: AI RMF FUNCTION MAP

Catherine Aiken

Center for Security and Emerging Technology

Catherine (Cat) Aiken is the Director of Data Science and Research at 

Georgetown’s Center for Security and Emerging Technology (CSET). 

Catherine was previously CSET’s survey specialist, designing and leading all of 

the Center’s survey and other human-subjects research. Before joining CSET, 

Catherine was at the University of Maryland, where she completed her 

doctorate and taught courses in political science and research methodology. Catherine holds a 

B.A. from the University of Rochester and a Ph.D. in political science from the University of 

Maryland.
Christine Custis

Partnership on AI

Dr. Christine Custis is the Head of Fairness, Transparency, Accountability and 

Safety at the Partnership on AI where her work focuses on ABOUT ML 

(Annotation and Benchmarking on Understanding and Transparency of 

Machine learning Lifecycles). This initiative aims to bring together a diverse 

range of perspectives to develop, test, and implement machine learning system documentation 

practices at scale.

Rayid Ghani

Carnegie Mellon University

Rayid Ghani is a Distinguished Career Professor in the Machine Learning 

Department and the Heinz College of Information Systems and Public Policy 

at Carnegie Mellon University. Rayid is a reformed computer scientist and 

wanna-be social scientist, but mostly just wants to increase the use of largescale AI/Machine Learning/Data Science in solving large public policy and 

social challenges in a fair and equitable manner. Among other areas, Rayid works with 

governments and non-profits in policy areas such as health, criminal justice, education, public 

safety, economic development, and urban infrastructure. Rayid is also passionate about teaching 

practical data science and started the Data Science for Social Good Fellowship that trains 

computer scientists, statisticians, and social scientists from around the world to work on data 

science problems with social impact. Before joining Carnegie Mellon University, Rayid was the 

Founding Director of the Center for Data Science & Public Policy, Research Associate Professor 

in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University 

of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign 

where he focused on data, analytics, and technology to target and influence voters, donors, and 

volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works 

with non-profits to help them with their data, analytics and digital efforts and strategy.

Doug Johnson

Vice President, Emerging Technology Policy

Consumer Technology Association

Mr. Johnson serves as an advocate for the consumer technology industry before 

policymakers at the local, national and international levels. He has led CTA’s 

efforts on AI, drones, energy efficiency, regulatory reform, voluntary 

agreements, policy alignment, non-tariff barriers to trade, and consumer tech 

devices on aircraft.

Marilyn Zigmund Luke

America’s Health Insurance Plans

Marilyn has a vast portfolio in healthcare covering policy, advocacy, legal and 

regulatory affairs, with a specialty in healthcare compliance. She is a leading 

expert on federal regulatory processes, health data privacy and security, and has 

substantial practical experience designing and directing health insurance 

compliance programs. Marilyn is an external liaison for AHIP and she works with a number of 

public and private sector organizations to represent health insurance providers. Marilyn 

developed AHIP’s Professional Compliance Designation, and she is a frequent speaker at 

conferences and events. In addition, she is one of AHIP’s most relied-on legal writers and has 
drafted hundreds of comment letters and documents during her tenure. Her current interests are 

focused on privacy, security, cybersecurity, and emergency preparedness. Past professional 

positions involved overseeing compliance programs for health insurance companies. She also 

worked with the U.S. Department of Labor Pension & Welfare Benefits Administration as an 

adviser and investigator and was in private law practice. She earned her law degree from Capital 

University Law School and a Bachelor of Arts Degree in Political Science from King’s College. 

She is a licensed attorney in the District of Columbia and the Commonwealth of Pennsylvania.

PANEL 3: AI RMF FUNCTION MEASURE

Navrina Singh

Credo AI

Navrina Singh is the Founder and CEO of Credo AI, A Responsible AI 

SaaS Platform enabling enterprises to build fair, compliant and auditable 

AI. A technology leader with over 18+ years of experience in Enterprise 

SaaS, AI and Mobile. Navrina has held multiple product and business leadership roles at 

Microsoft and Qualcomm. Navrina is an executive board member of Mozilla guiding their 

trustworthy AI charter. Navrina is also a young global leader with the World economic forum & 

was on their future council for AI guiding policies & regulations in responsible AI. Navrina 

holds a Masters in Electrical and Computer engineering from University of Wisconsin -

Madison, an MBA from University of Southern California and a Bachelors in Electronics and 

Telecommunication engineering from India.

Jack Clark

Anthropic

Jack Clark is a co-founder of Anthropic, co-chair of the AI Index, an expert 

member of the Global Partnership on Artificial Intelligence, co-chair of the 

OECD's working group on AI and Compute, and a non-resident research 

fellow at the Center for Security and Emerging Technology (CSET). In his 

spare time, Jack writes Import AI, a newsletter about AI and AI policy read 

by more than 25,000 people around the world. Jack was formerly the policy director of OpenAI, 

an AI research company.

David Danks

University of California

David Danks is Professor of Data Science & Philosophy and affiliate 

faculty in Computer Science & Engineering at University of California, San 

Diego. His research interests are at the intersection of philosophy, cognitive 

science, and machine learning. Danks has examined the ethical, 

psychological, and policy issues around AI and robotics in transportation, healthcare, privacy, 

and security. He has also done significant research in computational cognitive science and 

developed multiple novel causal discovery algorithms. Danks is the recipient of a James S. 

McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. He received 

an A.B. in Philosophy from Princeton University, and a Ph.D. in Philosophy from University of 

California, San Diego.
Jane Pinelis

The Joint Artificial Intelligence Center, Johns Hopkins University Applied 

Physics Lab

Dr. Jane Pinelis is the Chief of AI Assurance at the Department of Defense Joint 

Artificial Intelligence Center (JAIC). In this role, she leads a diverse team of 

testers and analysts in rigorous test and evaluation (T&E) for JAIC capabilities, 

as well as development of T&E-specific products and standards that will support 

testing of AI-enabled systems across the DoD. She also leads the team that is responsible for 

instantiating Responsible AI principles into DoD practices. Prior to joining the JAIC, Dr. Pinelis 

served as the Director of Test and Evaluation for USDI’s Algorithmic Warfare Cross-Functional 

Team, better known as Project Maven. She directed the developmental testing for the AI models, 

including computer vision, machine translation, facial recognition and natural language 

processing. Also, Dr. Pinelis led the design and analysis of the widely publicized study on the 

effects of integrating women into combat roles in the Marine Corps. Based on this experience, 

she co-authored a book, titled “The Experiment of a Lifetime: Doing Science in the Wild for the 

United States Marine Corps.” Dr. Pinelis holds a BS in Statistics, Economics, and Mathematics, 

an MA in Statistics, and a PhD in Statistics, all from the University of Michigan, Ann Arbor.

PANEL 4: AI RMF FUNCTION MANAGE

Brittany Smith

Data & Society

Brittany Smith is the Policy Director at Data & Society, an independent, 

nonprofit research institute focusing on the social implications of data-centric 

technologies and automation. At Data & Society, Brittany leads policy strategy 

and engagement, building on sociotechnical research and advocacy efforts within 

civil rights and technology coalitions to encourage AI policy and governance that 

centers equity and justice. Prior to joining Data & Society, Brittany worked at 

Alphabet for 10 years in policy, ethics and human rights roles. At DeepMind, she helped build 

the company’s first AI ethics research and policy team, while also leading the company’s work 

on human rights and racial justice. At Google, she worked on public policy and government 

affairs strategy teams in San Francisco and London, supporting Google’s work across Europe on 

content related issues, including privacy, child safety, extremism and hate speech on Search and 

YouTube. Brittany earned her BA in Anthropology from Northwestern University, and her MSc 

in Gender Studies from the London School of Economics.

Jiahao Chen

Parity AI

Jiahao Chen is the Chief Technology Officer of Parity (getparity.ai), an antiracist startup that is building responsible AI solutions for enterprises. He was 

previously an AI Research Director at JPMorgan AI Research in New York, 

with research focusing on responsible AI, particularly in explainability, fairness and semantic 

knowledge management. He was previously a Senior Manager of Data Science at Capital One 

focusing on machine learning research for credit analytics and retail operations. When still in 

academia, Jiahao was a Research Scientist at MIT CSAIL where he co-founded and led the Julia 

Lab, focusing on applications of the Julia programming language to data science, scientific 

computing, and machine learning. Jiahao has organized JuliaCon, the Julia conference, for the 
years 2014-2016, as well as organized workshops at NeurIPS, SIAM CSE, and the American 

Chemical Society National Meetings. Jiahao holds a PhD in chemical physics, a MS in applied 

mathematics, and a BS in chemistry, all from UIUC. He was formerly a postdoctoral associate at 

MIT, a visiting scholar at Ritsumeikan University in Japan, and a member of technical staff at 

DSO National Laboratories in Singapore. Jiahao has written over 50 papers with over 800 

citations, as well as over 120 packages for numerical computation, data science and machine 

learning for the Julia programming language, in addition to numerous contributions to the base 

language itself.

Vincent Southerland

New York University School of Law

Vincent M. Southerland is an Assistant Professor of Clinical Law and 

Co-Faculty Director of the Center on Race, Inequality, and the Law at 

NYU School of Law. He teaches the Criminal Defense and Reentry 

Clinic and a seminar on race and the criminal system. He holds a BA from the University of 

Connecticut, a JD from Temple University School of Law, and an LLM from Georgetown 

University Law Center. Vincent’s expertise centers on racial justice, civil rights, and the criminal 

legal system. His research explores the intersection of race and the criminal legal system, 

including the social and racial justice implications of predictive and surveillance technologies. 

His most recent scholarship applies a racial justice lens rooted in critical race theory to the 

design, use, and oversight of algorithmic tools in the criminal system. He serves on the boards of 

The Bail Project, the Federal Defenders of New York, the Center for Constitutional Rights, and 

Washington Square Legal Services, and is on the steering committee of the NYU Alliance for 

Public Interest Technology. Prior to his appointment to the NYU Law faculty, Vincent was the 

inaugural Executive Director of the Center on Race, Inequality, and the Law. Before joining 

NYU Law in that role, he was an Assistant Federal Public Defender with the Federal Defenders 

for the Southern District of New York. His time at the Federal Defenders was preceded by seven 

years at the NAACP Legal Defense and Educational Fund (LDF), where he was Senior Counsel. 

Vincent previously served as a staff attorney at The Bronx Defenders, and an E. Barrett 

Prettyman Fellow at Georgetown University Law Center. He began his career as a law clerk to 

two federal judges.

Grace Yee 

Adobe

Grace Yee is the Director of Ethical Innovation at Adobe. Under her leadership, 

the Ethical Innovation team drives global organization-wide ethics related 

activities and develops processes, tools, training, and other resources to ensure 

that Adobe's AI solutions consistently reflect Adobe’s core values and ethics 

principles. Her work also includes overseeing Adobe’s AI Ethics Committee and Review Board 

and helping to shape the impact that public policy, laws, and regulations are taking regarding AI.

Prior to this role, Grace led product development for Adobe’s AI engine, Adobe Sensei. As 

Senior Manager of Adobe Sensei Product Development, she championed customers’ AI needs 

and requirements to inform Adobe’s platform and product strategy; drove strategic engagements 

with enterprise customers, system integrators, and external agencies; and led AI initiatives across 

Adobe’s Creative Cloud, Experience Cloud, and Document Cloud platforms. Grace has more 

than two decades of software product management and engineering management experience, 

from startups to Fortune 100 companies. She has a Bachelor of Science in Engineering from the 

University of Michigan, Ann Arbor.
PANEL 5: AI RMF FUNCTION GOVERN

Patrick Hall

bnh.ai 

Patrick Hall is principal scientist at BNH.AI, where he advises clients in 

industry and the public sector on matters of AI risk. He also serves as 

visiting faculty in the Department of Decision Sciences at The George 

Washington School of Business, teaching classes on data ethics, machine 

learning, and the responsible use thereof. Prior to co-founding BNH, Patrick led H2O.ai’s efforts 

in responsible AI, and he worked as a senior machine learning scientist at SAS Institute.

Natasha Crampton

Chief Responsible AI Officer, Microsoft 

Natasha Crampton leads Microsoft’s Office of Responsible AI as the 

company’s first Chief Responsible AI Officer. The Office of Responsible AI 

puts Microsoft’s AI principles into practice by defining, enabling, and governing the company’s 

approach to responsible AI. The Office of Responsible AI also collaborates with stakeholders 

within and outside the company to shape new laws, norms, and standards to help ensure that the 

promise of AI technology is realized for the benefit of all. Prior to this role, Natasha served as 

lead counsel to the Aether Committee, Microsoft’s advisory committee on responsible AI. 

Natasha also spent seven years in Microsoft’s Australian and New Zealand subsidiaries helping 

Microsoft’s highly regulated customers move to the cloud. Prior to Microsoft, Natasha worked in 

law firms in Australia and New Zealand, specializing in copyright, privacy, and internet safety 

and security issues. Natasha graduated from the University of Auckland in New Zealand with a 

Bachelor of Laws (Honours) and a Bachelor of Commerce majoring in Information Systems.

Agus Sudjianto 

Wells Fargo

Agus Sudjianto is an executive vice president, head of Model Risk and a 

member of Management Committee at Wells Fargo, where he is responsible for 

enterprise model risk management. Prior to his current position, Agus was the 

modeling and analytics director and chief model risk officer at Lloyds Banking 

Group in the United Kingdom. Before joining Lloyds, he was an executive and head of 

Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design 

manager in the Powertrain Division of Ford Motor Company. Agus holds several U.S. patents in 

both finance and engineering. He has published numerous technical papers and is a co-author of 

Design and Modeling for Computer Experiments. His technical expertise and interests include 

quantitative risk, particularly credit risk modeling, machine learning and computational statistics.

He holds masters and doctorate degrees in engineering and management from Wayne State 

University and the Massachusetts Institute of Technology.

Teresa Tung 

Accenture

Teresa is the Global CTO, Cloud First, Data & AI, assisting clients in their data 

strategy and technology transformation to cloud. She brings strategic expertise 

in helping our clients apply and scale new technology capabilities to create a 

differentiated digital foundation. Recent areas of focus includes data mesh, 

digital twin, distributed trusted compute, and heterogeneous compute (e.g., GPU, FPGA). Teresa 
is Accenture's most prolific inventor with over 225 patents filed or granted. She is a regular 

speaker at cloud events from O’Reilly Strata, IoT Solutions World Congress, and IoT World. 

Teresa holds a Ph.D. in Electrical Engineering and Computer Science from the University of 

California at Berkeley.

PANEL 6: ALIGNMENT OF AI RMF WITH STANDARDS AND FRAMEWORKS

Stephanie Ifayemi 

Department for Digital, Culture, Media and Sport, United Kingdom 

Stephanie Ifayemi is the Head of Digital Standards Policy in the UK’s 

Department for Digital, where she leads the government’s work on AI 

technical standards and delivery of the objectives set out in the National AI 

Strategy. This includes leading the government's work to pilot an AI 

standards Hub, alongside the Alan Turing Institute and representing the UK 

in international, multi-stakeholder fora, including in the OECD network of experts on AI. In her 

wider role, she is responsible for the development of government policy across a portfolio 

covering areas such as quantum standards. She holds a Master of Public Policy from the 

University of Oxford.

Heather Benko 

American National Standards Institute

Heather Benko is a senior manager in the Standards Facilitation Department 

at the American National Standards Institute (ANSI), where her work 

includes the role of Committee Manager for the International Organization 

for Standardization (ISO)/International Electrotechnical Commission (IEC) 

Joint Technical Committee (JTC) 1, Subcommittee 42 on Artificial Intelligence, ISO Technical 

Committee (TC) 23 Subcommittee 13 on Powered lawn and garden equipment. Ms. Benko is 

also responsible for ANSI’s nanotechnology standardization activities, including administration 

of the ANSI-accredited U.S. Technical Advisory Group (TAG) to the TC 229, 

Nanotechnologies, secretariat services for the ISO/TC 229 Working Group (WG) on Health, 

Safety, and Environment, and staff support to the ANSI Nanotechnology Standards Panel 

(ANSI-NSP). JTC 1/SC 42 is an international committee focused on developing standards for the 

entire AI ecosystem. Established in 2017, SC 42 serves as the focus and proponent for JTC 1's 

standardization program on Artificial Intelligence, and is tasked with providing guidance to JTC 

1, IEC, and ISO committees developing Artificial Intelligence applications. Ms. Benko joined 

the ANSI staff in 2003. She received her BA degree from Denison University in Granville, Ohio, 

and her MTS degree from the Divinity School at Vanderbilt University in Nashville, Tennessee.

ANSI is a not-for-profit membership organization that brings together organizations from both 

the private and public sectors dedicated to furthering U.S. and international voluntary consensus 

standards and conformity assessments. ANSI accredits national standards developing 

organizations and approves American National Standards. It is the sole U.S. representative to the

International Organization for Standardization (ISO) and the International Electrotechnical 

Commission (IEC), via the U.S. National Committee.
Sebastian Hallensleben

VDE e. V.

Dr. Sebastian Hallensleben is the Chair of CEN-CENELEC JTC 21 where 

European AI standards to underpin EU regulation are being developed, a 

member of the Expert Advisory Board of the EU StandICT programme and 

Chair of the Trusted Information working group. He co-chairs the 

classification and risk assessment working group in OECD ONE.AI and has 

roles in AI committees at IEC, Council of Europe and UNESCO. - Sebastian 

Hallensleben heads Digitalisation and Artificial Intelligence at VDE Association for Electrical, 

Electronic and Information Technologies where he is responsible for new product and service 

development as well as for giving advice and developing frameworks for the German parliament 

and several federal ministries as well as the European Commission. He focusses in particular on 

AI ethics, on handling the impact of generative AI, building privacy-preserving trust 

infrastructures as well as characterising AI quality. – Earlier, Sebastian Hallensleben worked on 

dialog facilitation between academia, industry and policymaking (e.g. in the context of federal 

research foresight) and in international infrastructure project development for waste, energy and 

drinking water. He holds a PhD in physics and began his professional life in IT development and 

solutions architecture in the financial and telecoms sectors.

 

Jeanna Matthews

Clarkson University 

Jeanna Matthews is a professor of computer science at Clarkson University. 

She is a founding Chair of the ACM Technology Policy Subcommittee on 

Artificial Intelligence and Algorithmic Accountability, a Chair of Institute of 

Electrical and Electronics Engineers (IEEE) - USA AI Policy Committee, and 

a member of the ACM Technology Policy Committee. She is an affiliate of 

the Data and Society Research Institute. She has been a member of the ACM 

Council (2015-2022), chair of the ACM Special Interest Group Governing 

Board ( 2016-2018), the chair of the ACM Special Interest Group on Operating Systems 

(SIGOPS) (2011-2015), an ACM Distinguished Speaker and an Fulbright Scholar. She has 

published work in a broad range of systems topics from virtualization and cloud computing to 

social media security and distributed file systems. She has been a four-time presenter at DEF 

CON on topics including security vulnerabilities in virtual environments (2015 and 2016), 

adversarial testing of criminal justice software (2018) and trolling (2018). Her current work 

focuses on securing societal decision-making processes and supporting the rights of individuals 

in a world of automation.

Roy Sugimura

National Institute of Advanced Industrial Science and Technology, Japan

Roy Sugimura, Supervisory Innovation Coordinator of National Institute for 

Advanced Industrial Science and Technology (AIST), joined Matsushita Electric 

Industrial Co., Ltd. in 1980 and was seconded to Institute for New Generation 

Computer Technology (ICOT) in 1984. Managing Director for Panasonic OWL 

(UK) in 1999. 2001 Director, Mobile Network Research Laboratory of 

Matsushita Electric. 2004 Director, Panasonic Mobile Communications’ Mobile System 

Development Center and Symbian Supervisory Board Member, etc. 2006 Vice President 

ESTEEMO, Founding Member of LIMO Foundation, Treasury Officer. Joined NTT DoCoMo in 

2012, Director of Strategic Alliance, Director of Product Innovation, TIZEN Association 
Chairman of the Board, FIDO Alliance chair of D @ SWG. 2016 Current position. April 2018 

the head of the mirror committee for ISO / IEC JTC 1 / SC 42. Doctor of Engineering, Kyoto 

University, Master of Arts (Lancaster University, UK) IMPM. Diploma of IMPM (INSEAD, 

France). Served as a director of the Japanese Society for Artificial Intelligence, a director of the 

Japan Society for Software Science, and a councilor of the Institute of Electronics, Information 

and Communication Engineers. A member of the committee for Studying the practice of AI 

Principles of METI. A member of the specialists’ committee for the study on Smart System 

Standardization of METI.

PANEL 7: INTERNATIONAL PERSPECTIVES

Mark Latonero

National Institute of Standards and Technology

Mark Latonero is a senior policy advisor for AI and international 

cooperation at the National Institute of Standards and Technology (NIST). 

He is a member the OECD Network of Experts on AI and a research 

professor at Georgetown. Recently, he was a senior consultant at the UN 

Secretary General’s Office, senior policy advisor at the Partnership on AI, and fellow at the 

Harvard Kennedy School. He created the data and human rights program at the Data & Society 

Research Institute and led the technology & human trafficking initiative at the USC Annenberg 

School, where he was a research director. Mark competed his PhD at the University of Southern 

California specializing in the social implications of emerging technologies and was a 

postdoctoral scholar at the London School of Economics.

Olufemi Adeluyi

Ministry of Communications, Nigeria

Dr. Femi Adeluyi is the Technical Assistant (Research & Development) to the 

Honourable Minister of Communications and Digital Economy, Nigeria. He has 

played a leading role in the development and implementation of over a dozen 

policies to support the growth of Nigeria's Digital Economy, including the 

National Digital Economy Policy and Strategy (2020-2030). He obtained a PhD 

in Computer Engineering from Chosun University, Republic of Korea. He is the 

Communications and Information Lead Expert for the National Commission for UNESCO 

Nigeria, as well as the Focal Point for the African Union's Digital Transformation Strategy 

(2020-2030) in Nigeria. Femi has also been a Visiting Scientist at the Multidisciplinary Lab, 

International Center for Theoretical Physics, Trieste, Italy, with sponsorship from UNESCO and 

the Italian government. Dr. Adeluyi is a member of the IEEE Technical Working Groups on 

Standards for Clinical Internet of Things (IoT) Data and Device Interoperability with TIPPSS –

Trust, Identity, Privacy, Protection, Safety, Security (P2733) and Unified Terminology for BrainComputer Interfaces (P2731). He supports the National Open University's Africa Centre of 

Excellence on Technology Enhanced Learning (ACETEL) as a content provider and course 

facilitator. He has authored about 30 research articles and a patent.
Gry Hasselbalch

InTouchAI.EU

Gry Hasselbalch is an author and scholar of data technology, society, ethics and 

power. She is co-founder of the European thinkdotank DataEthics.eu and 

Research Director of DataEthics.eu Research. Gry was a member of the EU 

High Level Expert Group on AI that developed EU’s AI ethics guidelines, 

coined the term “Trustworthy AI” and contributed directly to the EU’s AI 

strategy. Today she is the Senior Key Expert on AI Ethics in the European Commission’s 

International Outreach for a Human-Centric Approach to Artificial Intelligence (InTouch.AI.eu) 

project that aims to support the Commission in setting up a global framework for ethics and trust. 

She is furthermore currently leading the Data Pollution & Power Initiative at the University of 

Bonn’s Institute of Science and Ethics’ Sustainable AI Lab. Gry’s publications includes among 

others her latest book Data Ethics of Power – A Human Approach in the Big Data and AI Era

(Edward Elgar 2021) and the book Data Ethics- The New Competitive Advantage published in 

2016 in Danish and English and co-authored with Danish journalist Pernille Tranberg. She has a 

PhD. in data ethics from the University of Copenhagen.

Aurelie Jacquet 

Standards Australia

Aurelie works on leading global initiatives for the implementation of 

Responsible AI. To cite a few, she is the chair of the standards committee 

representing Australia at the international standards on AI; the co-chair of the 

first accredited global certification program for AI developed under the Global 

AI Action Alliance for the World Economic Forum; and an expert for the Institute of Electrical 

and Electronics Engineers (IEEE) working with them on various AI standards initiatives. As a 

consultant she advises ASX 20 Companies on the responsible implementation of AI and she also 

works as Principal Research Consultant on Responsible AI for CSIRO-DATA61, Australia’s 

national science agency.

Karine Perset

Organisation for Economic Cooperation and Development

Karine Perset heads the AI Unit of the OECD Division for Digital 

Economy Policy. She is in charge of the OECD.AI Policy Observatory and 

the OECD.AI Network of Experts (ONE AI). She focuses on opportunities 

and challenges that AI raises for public policy, on policies to help implement the OECD AI 

Principles and on trends in AI development. She was previously Advisor to ICANN’s 

Governmental Advisory Committee and yet before the Counsellor of the OECD’s STI Directors. 

Karine is Franco-American.
PANEL 8: CLOSING AND NEXT STEPS

Elham Tabassi

National Institute of Standards and Technology

Elham Tabassi is the Chief of Staff in the Information Technology Laboratory 

(ITL) at the National Institute of Standards and Technology (NIST). She leads 

NIST Trustworthy and Responsible AI program that aims to cultivate trust in 

the design, development, and use of AI technologies by improving 

measurement science, standards, and related tools in ways that enhance economic security and 

improve quality of life. She has been working on various machine learning and computer vision 

research projects with applications in biometrics evaluation and standards since she joined NIST 

in 1999. She is a member of the National AI Resource Research Task Force, a senior member of 

IEEE, and a fellow of Washington Academy of Sciences.

Hodan Omaar 

Center for Data Innovation, Information Technology & Innovation 

Foundation 

Hodan Omaar is a senior policy analyst at the Center for Data Innovation, a nonprofit, non-partisan think tank. Hodan's work covers U.S. policy in artificial 

intelligence across sectors such as healthcare, education, and government and 

she speaks and writes on a variety of issues related to high-performance 

computing, quantum computing, and data-driven innovation.

Catherine Aiken

Center for Security and Emerging Technology

Catherine (Cat) Aiken is the Director of Data Science and Research at 

Georgetown’s Center for Security and Emerging Technology (CSET). 

Catherine was previously CSET’s survey specialist, designing and leading all of 

the Center’s survey and other human-subjects research. Before joining CSET, 

Catherine was at the University of Maryland, where she completed her 

doctorate and taught courses in political science and research methodology. Catherine holds a 

B.A. from the University of Rochester and a Ph.D. in political science from the University of 

Maryland.

Navrina Singh

Credo AI

Navrina Singh is the Founder and CEO of Credo AI, A Responsible AI 

SaaS Platform enabling enterprises to build fair, compliant and auditable 

AI. A technology leader with over 18+ years of experience in Enterprise 

SaaS, AI and Mobile. Navrina has held multiple product and business leadership roles at 

Microsoft and Qualcomm. Navrina is an executive board member of Mozilla guiding their 

trustworthy AI charter. Navrina is also a young global leader with the World economic forum & 

was on their future council for AI guiding policies & regulations in responsible AI. Navrina 

holds a Masters in Electrical and Computer engineering from University of Wisconsin -

Madison, an MBA from University of Southern California and a Bachelors in Electronics and 

Telecommunication engineering from India.
Patrick Hall

bnh.ai 

Patrick Hall is principal scientist at BNH.AI, where he advises clients in 

industry and the public sector on matters of AI risk. He also serves as 

visiting faculty in the Department of Decision Sciences at The George 

Washington School of Business, teaching classes on data ethics, machine 

learning, and the responsible use thereof. Prior to co-founding BNH, Patrick led H2O.ai’s efforts 

in responsible AI, and he worked as a senior machine learning scientist at SAS Institute.

Mark Latonero

National Institute of Standards and Technology

Mark Latonero is a senior policy advisor for AI and international 

cooperation at the National Institute of Standards and Technology (NIST). 

He is a member the OECD Network of Experts on AI and a research 

professor at Georgetown. Recently, he was a senior consultant at the UN 

Secretary General’s Office, senior policy advisor at the Partnership on AI, and fellow at the 

Harvard Kennedy School. He created the data and human rights program at the Data & Society 

Research Institute and led the technology & human trafficking initiative at the USC Annenberg 

School, where he was a research director. Mark competed his PhD at the University of Southern 

California specializing in the social implications of emerging technologies and was a 

postdoctoral scholar at the London School of Economics.

BUILDING THE NIST AI RISK MANAGEMENT FRAMEWORK DAY 3 INTRODUCTION

Reva Schwartz 

National Institute of Standards and Technology

Reva Schwartz is a research scientist in the Information Technology Laboratory 

(ITL) at the National Institute of Standards and Technology (NIST). She 

currently serves as Principal Investigator on Bias in Artificial Intelligence for 

NIST’s Trustworthy and Responsible AI program. Her research focuses on the 

role of context in human language and behavior, and the nature of expertise and expert judgment 

in socio-technical systems. A former forensic scientist, Reva has served as an advisor on how 

experts interact with automation to make sense of information under high risk and high 

uncertainty operational conditions.

PANEL 9: FIELD REPORT – HOW DOES AI BIAS REALLY IMPACT HEALTHCARE?

Miriam Vogel

Equal AI

Miriam Vogel is the President and CEO of EqualAI, a non-profit created to 

reduce unconscious bias in artificial intelligence (AI) and promote responsible 

AI governance. Miriam also teaches Technology Law and Policy at 

Georgetown University Law Center, where she serves as chair of the alumni 

board, and serves on the board of the Responsible AI Institute (RAI). Miriam is a Senior Advisor 

to WestExec Advisors and sits on the senior advisory board to the Center for Democracy and 

Technology (CDT). Previously, Miriam served in U.S. government leadership, including 

positions in the three branches of federal government. Most recently, she served as Associate 

Deputy Attorney General, where she advised the Attorney General and the Deputy Attorney 

General (DAG) on a broad range of legal, policy and operational issues. Miriam served in the 
White House in two Administrations, most recently as the Acting Director of Justice and 

Regulatory Affairs. Prior to serving in the Obama administration, Miriam was Associate General 

Counsel at Dana-Farber Cancer Institute and practiced entertainment/corporate transactional law 

at Sheppard Mullin in Los Angeles. Miriam began her legal career as a federal clerk in Denver, 

Colorado after graduating from Georgetown University Law Center and is a third generation 

alumna from the University of Michigan

Aneesh Chopra 

Care Journey

Aneesh Chopra is the President of CareJourney, an open data membership 

service building a trusted, transparent rating system for physicians, networks, 

facilities and markets on the move to value. He served as the first U.S. Chief 

Technology Officer and authored, "Innovative State: How New Technologies can 

Transform Government.” He serves on the Board of the Health Care Cost 

Institute, Virginia Center for Health Innovation, Integra Connect, Upstream Care, International 

Digital Accountability Council and chairs the George Mason University Innovation Advisory 

Council. He earned his MPP from Harvard Kennedy School and BA from The Johns Hopkins 

University.

David Vawdrey 

Geisinger

David K. Vawdrey, Ph.D. is Chief Data Informatics Officer at Geisinger. He is 

responsible for implementing transformational technologies and leveraging 

Geisinger’s advanced data and informatics infrastructure to create value for 

patients, clinicians, researchers, and members across 10 hospital campuses, a 

550,000-member health plan, and the Geisinger Commonwealth School of 

Medicine. Prior to joining Geisinger, Dr. Vawdrey was the founding director of New YorkPresbyterian Hospital’s Value Institute and Associate Professor at Columbia University’s 

Department of Biomedical Informatics. He’s an elected Fellow of the American College of 

Medical Informatics, and his research in areas such as clinical decision support, quality & safety, 

and patient engagement has resulted in over 100 peer-reviewed publications. Dr. Vawdrey 

studied computer engineering and computer science at Brigham Young University and 

completed his Ph.D. in biomedical informatics at the University of Utah.

PANEL 10: WHO AND WHAT GETS COUNTED? CONTEXTUAL REQUIREMENTS FOR DATASETS

Katie Shilton 

University of Maryland

Katie Shilton is an associate professor in the College of Information Studies at 

the University of Maryland, College Park. Her research explores ethics and 

policy for the design of information technologies. She is the PI of the 

PERVADE project, a multi-campus collaboration focused on big data research 

ethics. Other projects include developing privacy-sensitive search for email 

collections; analyzing ethical cultures in computer security research; and building tools to 

facilitate ethics discussions in mobile application development. Katie received a B.A. from 

Oberlin College, a Master of Library and Information Science from UCLA, and a Ph.D. in 

Information Studies from UCLA.
Susan Aaronson

George Washington University 

Susan Aaronson is Research Professor and Director of GWU's Digital Trade 

and Data Governance Hub. The Hub trains policymakers in data driven 

change, data governance and digital trade. The Hub also maps the governance 

of various types of data, including personal and nonpersonal data at the 

national and international level. Aaronson is the author of 6 books and 

numerous scholarly articles; writes regularly for Barron's, and enjoys ballet 

and triathlons. 

Razvan Amironesei

Independent Researcher

Razvan Amironesei’s research and publications focus on developing a 

pluralistic data ethics framework by using responsible interpretive methods to 

analyze the construction of benchmark datasets. He is also researching the 

relationship between computer science pedagogy and humanistic social 

science, specific issues related to data annotation, the constitution of 

offensiveness in ML datasets, and the topic of algorithmic conservation. Razvan most recently 

was a Visiting Researcher in the Ethical AI team at Google’s Center for Responsible AI. 

Previously, Razvan has done research and published on sociotechnical impacts of benchmark 

datasets at the Center for Applied Data Ethics at the University of San Francisco, and on the 

political and ethical formation of algorithms at the Institute for Practical Ethics at UC San Diego. 

Razvan has taught classes in English and French in Applied Ethics for Engineers, Bioethics, 

Political Theory, and on Religion and Politics in the US. His educational background is 

international and situated at the intersection of social sciences and the humanities. He completed 

postdoctoral studies at the Center on Global Justice at UC San Diego, a PhD in philosophy at 

Laval University in Canada, an MA in the history of science and technology in France and a 

Bachelor’s degree in the history of philosophy in Romania.

Amandalynne Paullada

University of Washington 

Amandalynne Paullada is a NLM postdoctoral fellow in the department of 

Biomedical Informatics and Medical Education at the University of 

Washington School of Medicine. Her doctoral work, completed in the 

Department of Linguistics at the University of Washington, focused on the 

societal impacts of natural language processing technologies.
PANEL 11: CONTEXT IS EVERYTHING: REQUIREMENTS FOR TEST, EVALUATION, VALIDATION

AND VERIFICATION (TEVV)

Apostol Vassilev 

National Institute of Standards and Technology

Apostol Vassilev leads a Research Team at NIST. His team focuses on a 

wide range of AI problems: AI bias identification and mitigation, meta 

learning with large language models for various NLP tasks, robustness and 

resilience of AI systems, applications of AI for mitigating cybersecurity attacks. Apostol is a 

coauthor of the recent NIST SP 1270: Towards a Standard for Identifying and Managing Bias in 

Artificial Intelligence, https://doi.org/10.6028/NIST.SP.1270. Apostol’s scientific background 

is in mathematics (Ph.D.) and computer science (MS), but he is also interested in social aspects 

of using AI technology and advocates for a comprehensive socio-technical approach to 

evaluating AI’s impact on individuals and society.

Arvind Narayanan

Princeton University 

Arvind Narayanan is an associate professor of computer science at Princeton. His 

work was among the first to show how machine learning reflects cultural 

stereotypes including racial and gender biases. He is co-authoring a textbook in 

fairness and machine learning, available online at https://fairmlbook.org. 

Narayanan co-created an online course and textbook on bitcoin and cryptocurrency 

technologies which has been used in over 150 courses worldwide. He is a recipient 

of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice recipient 

of the Privacy Enhancing Technologies Award, and thrice recipient of the Privacy Papers for 

Policy Makers Award.

Cathy O’Neil

ORCAA

Cathy O’Neil earned a Ph.D. in math from Harvard and worked as a math 

professor at Barnard College before switching over to the private sector, 

working as a quant for the hedge fund D.E. Shaw and as a data scientist in 

the New York start-up scene. She is a regular contributor to Bloomberg 

Opinion and in 2016 wrote the book Weapons of Math Destruction: how big data increases 

inequality and threatens democracy. She is the CEO of ORCAA, an algorithmic auditing 

company, and is a member of the Public Interest Tech Lab at the Harvard Kennedy School. Her 

new book The Shame Machine: who profits in the new age of humiliation is coming out on 

March 22nd, 2022.

Kush R Varshney

IBM Research

Kush R. Varshney was born in Syracuse, NY in 1982. He received the B.S. 

degree (magna cum laude) in electrical and computer engineering with honors 

from Cornell University, Ithaca, NY, in 2004. He received the S.M. degree in 

2006 and the Ph.D. degree in 2010, both in electrical engineering and computer 

science from the Massachusetts Institute of Technology (MIT), Cambridge. 

While at MIT, he was a National Science Foundation Graduate Research Fellow. Dr. Varshney is 

a distinguished research staff member and manager with IBM Research at the Thomas J. Watson 
Research Center, Yorktown Heights, NY, where he leads the machine learning group in the 

Foundations of Trustworthy AI department. He was a visiting scientist at IBM Research - Africa, 

Nairobi, Kenya in 2019. He is the founding co-director of the IBM Science for Social Good 

initiative. He applies data science and predictive analytics to human capital management, 

healthcare, olfaction, computational creativity, public affairs, international development, and 

algorithmic fairness, which has led to recognitions such as the 2013 Gerstner Award for Client 

Excellence for contributions to the WellPoint team and the Extraordinary IBM Research 

Technical Accomplishment for contributions to workforce innovation and enterprise 

transformation, and Harvard Belfer Center Tech Spotlight runner-up for AI Fairness 360. He 

conducts academic research on the theory and methods of trustworthy machine learning. His 

work has been recognized through best paper awards at the Fusion 2009, SOLI 2013, KDD 2014, 

and SDM 2015 conferences and the 2019 Computing Community Consortium / Schmidt Futures 

Computer Science for Social Good White Paper Competition. He self-published a book entitled 

'Trustworthy Machine Learning' in 2022.

PANEL 12: DESIGN APPROACHES FOR AI: KEEPING HUMAN VALUES AND ETHICS AT THE

CORE OF AI DESIGN

Kristen Greene 

National Institute of Standards and Technology

Kristen Greene is a cognitive scientist in the Information Technology Laboratory 

at NIST, the National Institute of Standards and Technology. She conducts 

usability and human factors research for NIST’s Artificial Intelligence, Usable 

Cybersecurity, and Forensics programs. Kristen earned her M.A. and Ph.D. in 

Cognitive Psychology from Rice University, with a specialization in HumanComputer Interaction. Kristen serves as acting group leader for the Visualization and Usability 

Group at NIST, a multidisciplinary group of computer scientists, cognitive scientists, and human 

factors experts. Bringing a unique human-centered perspective to her research and leadership, 

she is broadly interested in understanding how new and emerging technologies impact human 

cognition and total human-system performance.

Kathy Baxter 

Salesforce

As a Principal Architect of Ethical AI Practice at Salesforce, Kathy develops 

research-informed best practice to educate Salesforce employees, customers, 

and the industry on the development of responsible AI. She collaborates and 

partners with external AI and ethics experts to continuously evolve 

Salesforce policies, practices, and products. She is also a member of 

Singapore’s Advisory Council on the Ethical Use of AI and Data. Prior to Salesforce, she 

worked at Google, eBay, and Oracle in User Experience Research. She received her MS in 

Engineering Psychology and BS in Applied Psychology from the Georgia Institute of 

Technology. She is the co-author of "Understanding Your Users: A Practical Guide to User 

Research Methodologies." You can read about the Ethics AI Practice Team's current research at

salesforceairesearch.com/trusted-ai.
Batya Friedman

University of Washington

Batya Friedman is a Professor in the Information School and holds adjunct 

appointments in the Paul G. Allen School of Computer Science & 

Engineering, the School of Law, and the Department of Human Centered 

Design and Engineering at the University of Washington where she cofounded the Value Sensitive Design Lab and the UW Tech Policy Lab. Dr. 

Friedman pioneered value sensitive design (VSD), an established approach to account for human 

values in the design of technical systems. Her work in value sensitive design has resulted in 

robust theoretical constructs, dozens of innovative methods, and practical toolkits such as the 

Envisioning Cards. Value sensitive design has been widely adopted nationally and 

internationally where it has been used in architecture, biomedical health informatics, civil 

engineering, computer security, energy, global health, human-computer interaction, humanrobotic interaction, information management, legal theory, moral philosophy, tech policy, 

transportation, and urban planning, among others. Additionally, value sensitive design is 

emerging in higher education, government, and industry as a key approach to address computing 

ethics and responsible innovation. Today, Dr. Friedman is working on open questions in value 

sensitive design including multi-lifespan design, and designing for and with non-human 

stakeholders – questions critical for the wellbeing of human societies and the planet. Dr. 

Friedman’s 2019 MIT Press book co-authored with David Hendry, Value Sensitive Design: 

Shaping Technology with Moral Imagination, provides a comprehensive account of value 

sensitive design. In 2012 Dr. Friedman received the ACM-SIGCHI Social Impact Award and the 

University Faculty Lecturer award at the University of Washington, in 2019 she was inducted 

into the CHI Academy, in 2020 she received an honorary doctorate from Delft University of 

Technology, and in 2021 she was recognized as an ACM Fellow. She is also a stone sculptor and 

mixed media artist. Dr. Friedman received both her B.A. and Ph.D. from the University of 

California at Berkeley.

PANEL 13: IS A HUMAN IN THE LOOP THE SOLUTION?

Jenn Wortman Vaughan

Microsoft Research

Jenn Wortman Vaughan is a Senior Principal Researcher at Microsoft 

Research, New York City. She currently focuses on Responsible AI—

including transparency, interpretability, and fairness—as part of MSR's 

FATE group and co-chair of Microsoft’s Aether Working Group on 

Transparency. Jenn's research background is in machine learning and 

algorithmic economics. She is especially interested in the interaction between people and AI, and 

has often studied this interaction in the context of prediction markets and other crowdsourcing 

systems. Jenn came to MSR in 2012 from UCLA, where she was an assistant professor in the 

computer science department. She completed her Ph.D. at the University of Pennsylvania in 

2009, and subsequently spent a year as a Computing Innovation Fellow at Harvard. She is the 

recipient of Penn's 2009 Rubinoff dissertation award for innovative applications of computer 

technology, a National Science Foundation CAREER award, a Presidential Early Career Award 

for Scientists and Engineers (PECASE), and a variety of best paper awards. Jenn co-founded the 

Annual Workshop for Women in Machine Learning (WiML), which has been held each year 

since 2006, and recently served as Program Co-chair of NeurIPS 2021.
Krzysztof Gajos

Harvard University 

Krzysztof Gajos is a Gordon McKay professor of Computer Science at the 

Harvard Paulson School of Engineering and Applied Sciences. Krzysztof’s current 

interests include 1. Principles and applications of intelligent interactive systems; 

2. Tools and methods for behavioral research at scale (e.g., LabintheWild.org); 

and 3. Design for equity and social justice. He has also made contributions in the 

areas of accessible computing, creativity support tools, social computing, and 

health informatics. Prior to arriving at Harvard, Krzysztof was a postdoctoral researcher at 

Microsoft Research. He received his Ph.D. from the University of Washington and his M.Eng. 

and B.Sc. degrees from MIT. From 2013 to 2016 Krzysztof was a coeditor-in-chief of the ACM 

Transactions on Interactive Intelligent Systems (ACM TiiS), he was the general chair of ACM 

UIST 2017, and he is currently a program co-chair of the 2022 ACM Conference on Intelligent 

User Interfaces. His work was recognized with best paper awards at ACM CHI, ACM 

COMPASS, and ACM IUI. In 2019, his received the Most Impactful Paper Award at ACM IUI 

for his work on automatically generating personalized user interfaces.

Marzyeh Ghassemi

Massachusetts Institute of Technology

Marzyeh is an Assistant Professor at the University of Toronto in Computer 

Science and Medicine, and a Vector Institute faculty member holding a 

Canadian CIFAR AI Chair and Canada Research Chair. She joined MIT’s 

IMES/EECS in July 2021. Marzyeh currently serves as a NeurIPS 2019 

Workshop Co-Chair, and General Chair for the ACM Conference on Health, 

Inference and Learning (CHIL). Previously, she was a Visiting Researcher with Alphabet’s 

Verily and a post-doc with Peter Szolovits at MIT. Prior to her PhD in Computer Science at 

MIT, she received an MSc. degree in biomedical engineering from Oxford University as a 

Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a 

Goldwater Scholar at New Mexico State University. Marzyeh has a well-established academic 

track record across computer science and clinical venues, including NeurIPS, KDD, AAAI, 

MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, EMBC, Nature Medicine, Nature Translational 

Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, 

NVIDIA, Huffington Post. She was also recently named one of MIT Tech Review’s 35 

Innovators Under 35. Marzyeh is on the Senior Advisory Council of Women in Machine 

Learning (WiML), and organized its flagship workshop at NIPS during December 2014. She has 

also organized and MIT’s first Hacking Discrimination event, and was awarded MIT’s 2018 Seth 

J. Teller Award for Excellence, Inclusion and Diversity. She served on MIT’s Presidential 

Committee on Foreign Scholarships from 2015-2018, working with MIT students to create 

competitive applications for distinguished international scholarships. In 2015, she also worked as 

a graduate student member of MIT’s CJAC (Corporation Joint Advisory Committee on Institutewide Affairs), a committee to which the Corporation can turn for consideration and advice on 

special Institute-wide issues.
Ben Green

University of Michigan

Ben Green is a Postdoctoral Scholar in the Michigan Society of Fellows 

and an Assistant Professor in the Gerald R. Ford School of Public Policy. 

He holds a PhD in Applied Mathematics, with a secondary field in Science, 

Technology, and Society, from Harvard University. Ben studies the social 

and political impacts of government algorithms, with a focus on algorithmic 

fairness, human-algorithm interactions, and AI regulation. His book, The Smart Enough City: 

Putting Technology in Its Place to Reclaim Our Urban Future, was published in 2019 by MIT 

Press. Ben is also an Affiliate at the Berkman Klein Center for Internet & Society at Harvard and 

a Fellow at the Center for Democracy & Technology.

BUILDING THE NIST AI RISK MANAGEMENT FRAMEWORK DAY 3 CLOSING REMARKS

Lori Perine

National Institute of Standards and Technology

Lori A. Perine is an associate researcher in the Information Technology 

Laboratory at NIST and a doctoral candidate at the University of Maryland’s 

iSchool. Her research explores sociotechnical approaches to AI design, 

development, and deployment in various domains, as well as associated public 

policy. Ms. Perine has had a substantive career as a STEM policy-maker, alliance executive, and 

consultant, focused on translating innovation to advance societal goals. She has served on a 

Presidential Transition Team, held executive positions at the White House Office of Science and 

Technology Policy and in international technology alliances, and sat on intra- and 

intergovernmental councils and advisory groups for STEM and energy. A dedicated advocate 

for women and underrepresented minorities in STEM fields, Lori also consults as a strategic 

advisor to AnitaB.org.