Skip to main content    

An official website of the United States government

Here’s how you know

**Official websites use .gov**              A **.gov** website belongs to an official government organization in the United States.            

**Secure .gov websites use HTTPS**              A **lock** (  LockA locked padlock) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.            

https://www.nist.gov/itl/ai-risk-management-framework/elham-tabassi-closing-remarks-ai-rmf-launch-january-26-2023

            -  Topics  -  All Topics 
-  Advanced communications 
-  Artificial intelligence 
-  Bioscience 
-  Buildings and construction 
-  Chemistry 
-  Climate 
-  Cybersecurity 
-  Electronics 
-  Energy 
-  Environment 
-  Fire 
-  Forensic science 
-  Health 
-  Information technology 
-  Infrastructure 
-  Manufacturing 
-  Materials 
-  Mathematics and statistics 
-  Metrology 
-  Nanotechnology 
-  Neutron research 
-  Performance excellence 
-  Physics 
-  Public safety 
-  Resilience 
-  Standards 
-  Transportation 
 
            -  Publications 
            -  Labs & Major Programs  -  Laboratories    -  Communications Technology Laboratory 
  -  Engineering Laboratory 
  -  Information Technology Laboratory 
  -  Material Measurement Laboratory 
  -  Physical Measurement Laboratory 
-  User Facilities    -  NIST Center for Neutron Research 
  -  CNST NanoFab 
-  Research Test Beds 
-  Research Projects 
-  Tools & Instruments 
-  Major Programs    -  Baldrige Performance Excellence Program 
  -  CHIPS for America Initiative 
  -  Manufacturing Extension Partnership (MEP) 
  -  Office of Advanced Manufacturing 
  -  Special Programs Office 
  -  Technology Partnerships Office 
 
            -  Services & Resources  -  Standards and Measurements    -  Calibration Services 
  -  Laboratory Accreditation (NVLAP) 
  -  Quality System 
  -  Standard Reference Materials (SRMs) 
  -  Standards.gov 
  -  Time Services 
  -  Office of Weights and Measures 
-  Software 
-  Data    -  Chemistry WebBook 
  -  National Vulnerability Database 
  -  Physical Reference Data 
  -  Standard Reference Data (SRD) 
-  Storefront 
-  License & Patents 
-  Computer Security Resource Center (CSRC) 
-  NIST Research Library 
 
            -  News & Events  -  News 
-  Events 
-  Blogs 
-  Feature Stories 
-  Awards 
-  Video Gallery 
-  Image Gallery 
-  Media Contacts 
 
            -  About NIST  -  About Us    -  Leadership 
  -  Organization Structure 
  -  Budget & Planning 
-  Contact Us 
-  Visit 
-  Careers    -  Student programs 
-  Work with NIST 
-  History    -  NIST Digital Archives 
  -  NIST Museum 
  -  NIST and the Nobel 
-  Educational Resources 
 

Information Technology Laboratory

## AI Risk Management Framework

-  AI RMF Development 
-  NIST AI RMF Playbook 
-  Engage 
-  Workshops & Events 
-  Related NIST Efforts 
-  Resources 
-  Perspectives 
-  FAQs 
-  AI @ NIST 

# Elham Tabassi - Closing Remarks at the AI RMF Launch - January 26, 2023

## Share

Facebook

Linkedin

Twitter

Email

Let me start by expressing my thanks and gratitude to our speakers today, for great discussions and for their support throughout the process of developing this framework – and what an extraordinary journey it has been for the past 18 months! We are extremely grateful to everyone who helped us along the way. Your contributions were essential to completing AI RMF 1.0.

We were reminded by our esteemed speakers that with the advent of AI and machine learning, today’s machines are engineered for complex decision-making that historically only people could handle. We no longer just demand equity and fairness from each other; we demand it from our machines.

We no longer only focus on whether technology works, but also on *how* it works. Where, how, and by whom is the technology used? Who is left out, and why? Who is adversely impacted and why does that impact happen? How can we cultivate trust in these technologies and managing their risks?

Aware of the global nature of technologies and the evolving policy landscape across borders, we worked with the whole AI community, in the US and abroad, to provide scalable, research-based methods to manage AI risks and advance trustworthy approaches to AI that serve all people in responsible, equitable, and beneficial ways. 

Today, we recognize an important milestone - through a collaborative, consensus driven, open and transparent approach, with tremendous contributions and engagement from industry, academia, civil society, and our colleagues across government and around the globe, we completed the AI RMF 1.0. 

A voluntary framework for AI risk management in a flexible, structured, measurable way. Flexible to allow innovation and measurable because if you cannot measure it, you cannot improve it.

The AI RMF adopts a rights-preserving approach to AI. It outlines a process to address traditional measures of accuracy, robustness, and reliability. And importantly acknowledges that sociotechnical characteristics of the system – characteristics such as privacy, interpretability, safety and bias, which are inextricably tied to human and social behavior – are equally important when evaluating the overall risk of a system. These characteristics involve human judgment and cannot be reduced to a single threshold or metric.

This means thinking differently about measurement and standards. 

This means introducing sociotechnical characteristics into standards and measures. 

It means recognizing that AI technologies are not just about the data and algorithms and computation. It's also about how it is used and how it affects people in the real world.

That's what the AI RMF – and our AI work at NIST more broadly – is about: *cultivating trust in the design, development, deployment and use of AI technologies and systems*.

To make that visionarealitywe look forward to seeing how organizations implement the AI RMF. 

We will also continueto work with the community to conductresearchanddeveloptechnicallysoundstandards, interoperable evaluations and benchmarks,andusablepractice guides.

Making that vision a reality is going to take all of us working together.

Let’s forge ahead and focus on operationalizing the AI RMF. 

Let’s build test beds, benchmarks, and standards that are needed to advance trustworthy and responsible AI.

I look forward to staying connected with all of you taking part in this event in person or virtually...and continuing this important work. 

Thank you.

Information technologyArtificial intelligence

### HEADQUARTERS

301-975-2000

Webmaster | Contact Us | Our Other Offices

TwitterFacebookLinkedInInstagramYouTubeGiphyRSS FeedMailing List

Feedback

            -  Site Privacy 
            -  Accessibility 
            -  Privacy Program 
            -  Copyrights 
            -  Vulnerability Disclosure 
            -  No Fear Act Policy 
            -  FOIA 
            -  Environmental Policy 
            -  Scientific Integrity 
            -  Information Quality Standards 
            -  Commerce.gov 
            -  Science.gov 
            -  USA.gov 
            -  Vote.gov