yusuke1997/dblp-id-title huggingface dataset:
The EU FP6 Integrated Project IRRIIS on Dependent Critical Infrastructures - Summary and Conclusions
A Decision Support System for the Damage and Urban Resilience Assessment of Natural Events
Stability of a Distributed Generation Network Using the Kuramoto Models
A Decision Support System for Emergency Management of Critical Infrastructures Subjected to Natural Hazards
The Challenge of Critical Infrastructure Dependency Modelling and Simulation for Emergency Management and Decision Making by the Civil Security Authorities
Detecting DNS Amplification Attacks
Countermeasures Selection via Evidence Theory - (Short Paper)
Managing Gas and Electric Power Network Dependencies to secure Energy Supply: Application to the UK System
Design of a Platform for Information Exchange on Protection of Critical Infrastructures
High Data Throughput Exfiltration Through Video Cable Emanations
Decision Support System for the Monitoring and Risk Analysis of National Critical Entities
Short and Long Term Vessel Movement Prediction for Maritime Traffic
Towards a Layer Model for Digital Sovereignty: A Holistic Approach
A Quantitative Risk Analysis Approach for Deliberate Threats
Algebraic Analysis of Attack Impacts and Countermeasures in Critical Infrastructures
Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection
Critical Information Infrastructures Security - 7th International Workshop, CRITIS 2012, Lillehammer, Norway, September 17-18, 2012, Revised Selected Papers
Information Modelling and Simulation in Large Interdependent Critical Infrastructures in IRRIIS
Early Warning System for Cascading Effect Control in Energy Control Systems
Stochastic Modelling of the Effects of Interdependencies between Critical Infrastructure
Assessing and Improving SCADA Security in the Dutch Drinking Water Sector
A Statechart-Based Anomaly Detection Model for Multi-Threaded SCADA Systems
CII Protection - Lessons for Developing Countries: South Africa as a Case Study
Dependent Automata for the Modelling of Dependencies
Motion Magnification for Urban Buildings
Critical Infrastructure in the Future City - Developing Secure and Resilient Cyber-Physical Systems
Using Incentives to Foster Security Information Sharing and Cooperation: A General Theory and Application to Critical Infrastructure Protection
"You Cannot Sound Like GPT": Signs of language discrimination and resistance in computer science publishing
You Can't Sit With Us: Exclusionary Pedagogy in AI Ethics Education
Consistently Arbitrary or Arbitrarily Consistent: Navigating the Tensions Between Homogenization and Multiplicity in Algorithmic Decision-Making
Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective
The meaning and measurement of bias: lessons from natural language processing
AI Alignment at Your Discretion
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube
The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC
Dangerous Criminals and Beautiful Prostitutes? Investigating Harmful Representations in Dutch Language Models
The Effects of Crowd Worker Biases in Fact-Checking Tasks
The Social Cost of Strategic Classification
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing
Actions Speak Louder than Words: Agent Decisions Reveal Implicit Biases in Language Models
Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models
To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts
Historical Methods for AI Evaluations, Assessments, and Audits
Arbitrary Decisions are a Hidden Cost of Differentially Private Training
From Margins to the Table: Charting the Potential for Public Participatory Governance of Algorithmic Decision Making
Insights From Insurance for Fair Machine Learning
Care and Coordination in Algorithmic Systems: An Economies of Worth Approach
Fair Allocation through Competitive Equilibrium from Generic Incomes
Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification
The Impact of Differential Feature Under-reporting on Algorithmic Fairness
"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics & Neurodivergence
Auditing Work: Exploring the New York City algorithmic bias audit regime
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application
Model Explanations with Differential Privacy
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
Detection and Mitigation of Algorithmic Bias via Predictive Parity
Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy
Bridging the gap from AI ethics research to practice
Bias in Automated Speaker Recognition
Structural Interventions and the Dynamics of Inequality
Learning Fairness from Demonstrations via Inverse Reinforcement Learning
Reducing Access Disparities in Networks using Edge Augmentation✱
Are Measures of Children's Parasocial Relationships Ready for Conversational AI?
Why does my model fail?: contrastive local explanations for retail forecasting
An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Reconciling Predictive Multiplicity in Practice
Narratives and Counternarratives on Data Sharing in Africa
Rational Shapley Values
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation
Should attention be all we need? The epistemic and ethical implications of unification in machine learning
The tensions of data sharing for human rights: A modern slavery case study
What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy
Algorithmic Collective Action with Two Collectives
Data Agency Theory: A Precise Theory of Justice for AI Applications
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability
Characterizing the Default Persona During Design: Mental Representations of Technology Users are Gendered
CounterFAccTual: How FAccT Undermines Its Organizing Principles
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
Fairness, Welfare, and Equity in Personalized Pricing
Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data
SHAP-based Explanations are Sensitive to Feature Representation
Model ChangeLists: Characterizing Updates to ML Models
It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy
AI Opacity and Explainability in Tort Litigation
50 Years of Test (Un)fairness: Lessons for Machine Learning
From Optimizing Engagement to Measuring Value
Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending
Data in New Delhi's predictive policing system
Robustness Implies Fairness in Causal Algorithmic Recourse
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
Applying Data Feminism Principles to Assess Bias in English and Arabic NLP Research
Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation
Subverting machines, fluctuating identities: Re-learning human categorization
Surfacing Racial Stereotypes through Identity Portrayal
Uncertainty and the Social Planner's Problem: Why Sample Complexity Matters
A Semiotics-based epistemic tool to reason about ethical issues in digital technology design and development
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Power and Resistance in the Twitter Bias Discourse
Designing Up with Value-Sensitive Design: Building a Field Guide for Ethical ML Development
Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations
Vulnerability in the EU AI Act: building an interpretation
Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine Learning
Responsible AI in the Global Context: Maturity Model and Survey
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Achieving Socio-Economic Parity through the Lens of EU AI Act
AI as a Sport: On the Competitive Epistemologies of Benchmarking
Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace
Disparities in Text-to-Image Model Concept Possession Across Languages
Participation in the age of foundation models
Algorithmic Pluralism: A Structural Approach To Equal Opportunity
Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs
To Be High-Risk, or Not To Be - Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards
AI Attitudes Among Marginalized Populations in the U.S.: Nonbinary, Transgender, and Disabled Individuals Report More Negative AI Attitudes
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action
Achieving Reproducibility in EEG-Based Machine Learning
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
AI explainability 360: hands-on tutorial
Representativeness in Statistics, Politics, and Machine Learning
Counterfactual Shapley Additive Explanations
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Burn, dream and reboot!: speculating backwards for the missing archive on non-coercive computing
Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy
Group Fair Rated Preference Aggregation: Ties Are (Mostly) All You Need
Regulating transparency?: Facebook, Twitter and the german network enforcement act
Standardized Tests and Affirmative Action: The Role of Bias and Variance
The effect of differential victim crime reporting on predictive policing systems
An Algorithmic Framework for Bias Bounties
On the Impact of Explanations on Understanding of Algorithmic Decision-Making
A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning
Manifesting the sociotechnical: experimenting with methods for social context and social justice
A Trustworthiness-based Metaphysics of Artificial Intelligence Systems
Brain Computer Interfaces and Human Rights: Brave new rights for a brave new world
The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024
Robustness in machine learning explanations: does it matter?
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022
AI Art is Theft: Labour, Extraction, and Exploitation: Or, On the Dangers of Stochastic Pollocks
FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021
Epistemic values in feature importance methods: Lessons from feminist epistemology
Animation and Artificial Intelligence
Controlling Polarization in Personalization: An Algorithmic Framework
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice
Agonistic Image Generation: Unsettling the Hegemony of Intention
On the Existence of Simpler Machine Learning Models
Minimax Demographic Group Fairness in Federated Learning
Crediting Humans: A Systematic Assessment of Influencing Factors for Human-in-the-Loop Figurations in Consumer Credit Lending Decisions
The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairness
External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
Entangled Pregnancies: Expectants' Experiences of Using Pregnancy Apps
Causal Inference Struggles with Agency on Online Platforms
Reconciling Individual Probability Forecasts✱
D-hacking
(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education
Data Ecofeminism
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Drivers and persuasive strategies to influence user intention to learn about manipulative design
The Gaps that Never Were: Reconsidering Responsible AI's Principle-Practice Problem
The impact of overbooking on a pre-trial risk assessment tool
Tech Worker Organizing for Power and Accountability
Human Interpretation of Saliency-based Explanation Over Text
BaBE: Enhancing Fairness via Estimation of Explaining Variables
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints
The Effect of the Rooney Rule on Implicit Bias in the Long Term
Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
The Emerging Artifacts of Centralized Open-Code
Analyzing And Editing Inner Mechanisms of Backdoored Language Models
Recommendations and user agency: the reachability of collaboratively-filtered information
Adultification Bias in LLMs and Text-to-Image Models
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning
Fairness warnings and fair-MAML: learning fairly with minimal data
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
Understanding Gender Bias in AI-Generated Product Descriptions
The Sanction of Authority: Promoting Public Trust in AI
Optimization's Neglected Normative Commitments
Group fairness without demographics using social networks
Hidden Conflicts in Neural Networks and their Implications for Explainability
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research
On the Fairness of Machine-Assisted Human Decisions
Runtime Monitoring of Dynamic Fairness Properties
Impact of Agent-Generated Rationales on Online Social Conformity
Algorithmic accountability in public administration: the GDPR paradox
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Fifty Shades of Grey: In Praise of a Nuanced Approach Towards Trustworthy Design
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions
Law and the Emerging Political Economy of Algorithmic Audits
Uncovering the Linguistic Roots of Bias: Insights and Mitigation in Large Language Models
Algorithmic Misjudgement in Google Search Results: Evidence from Auditing the US Online Electoral Information Environment
On the Site of Predictive Justice
Time Can Invalidate Algorithmic Recourse
Lazy Data Practices Harm Fairness Research
Confronting Power and Corporate Capture at the FAccT Conference
Investigating Youth AI Auditing
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
To Trust or Distrust AI: A Questionnaire Validation Study
AI Narrative Breakdown. A Critical Assessment of Power and Promise
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
Speaking of accent: A content analysis of accent misconceptions in ASR research
Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable and Just Algorithmic System Design
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity
Regulating Emotion AI in the United States: Insights from Empirical Inquiry
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
On (assessing) the fairness of risk score models
When not to design, build, or deploy
"As an individual, I suppose you can't really do much": Environmental Sustainability Perceptions of Machine Learning Practitioners
Fairness for AUC via Feature Augmentation
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research
Bidding strategies with gender nondiscrimination constraints for online ad auctions
Impact Charts: A Tool for Identifying Systematic Bias in Social Systems and Data
"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline
Do People Think Fast or Slow When Training AI?
Mitigating Bias in Set Selection with Noisy Protected Attributes
Fair Algorithms for Learning in Allocation Problems
Towards Labor Transparency in Situated Computational Systems Impact Research
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes
WorldBench: Quantifying Geographic Disparities in LLM Factual Recall
The Role of Explainability in Collaborative Human-AI Disinformation Detection
From Soft Classifiers to Hard Decisions: How fair can we be?
A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Achieving Diversity in Counterfactual Explanations: a Review and Discussion
Fairness, Equality, and Power in Algorithmic Decision-Making
Explaining machine learning classifiers through diverse counterfactual explanations
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates
The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
Technical Solutions to Emotion AI's Privacy Harms: A Systematic Literature Review
Promising Topics for US-China Dialogues on AI Risks and Governance
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
Disentangling and Operationalizing AI Fairness at LinkedIn
Maximal fairness
Impossible Explanations?: Beyond explainable AI in the GDPR from a COVID-19 use case scenario
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese
It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them?
TIDEs: A Transgender and Nonbinary Community-Labeled Dataset and Model for Transphobia Identification in Digital Environments
Locality of Technical Objects and the Role of Structural Interventions for Systemic Change
Who Gets Heard? Calling Out the "Hard-to-Reach" Myth for Non-WEIRD Populations' Recruitment and Involvement in Research
People are not coins: Morally distinct types of predictions necessitate different fairness constraints
Analyzing the Relationship Between Difference and Ratio-Based Fairness Metrics
A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation
Bias as Boundary Object: Unpacking The Politics Of An Austerity Algorithm Using Bias Frameworks
FADE: Federated Aggregation with Discrimination Elimination
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
Fairness in machine learning from the perspective of sociology of statistics: How machine learning is becoming scientific by turning its back on metrological realism
Is calibration a fairness requirement?: An argument from the point of view of moral philosophy and decision theory
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments
Discrimination Exposed? On the Reliability of Explanations for Discrimination Detection
Testing Concerns about Technology's Behavioral Impacts with N-of-one Trials
A Sociotechnical Audit: Assessing Police Use of Facial Recognition
It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration
Measuring Fairness of Rankings under Noisy Sensitive Information
A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use
Distributive Epistemic Injustice in AI Ethics: A Co-productionist Account of Global North-South Politics in Knowledge Production
Is It Fair Enough? Supporting Equitable Group Work Assignment with Work Division Dashboard
Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
The disparate equilibria of algorithmic decision making when individuals invest rationally
Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs
The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
Limits and Possibilities for "Ethical AI" in Open Source: A Study of Deepfakes
The concept of fairness in the GDPR: a linguistic and contextual interpretation
Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models
Towards Cross-Lingual Generalization of Translation Gender Bias
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
How Different Groups Prioritize Ethical Values for Responsible AI
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
Decision Time: Normative Dimensions of Algorithmic Speed
Beyond Consistency: Nuanced Metrics for Individual Fairness
Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
Robustness and Cybersecurity in the EU Artificial Intelligence Act
A Day in Their Shoes: Using LLM-Based Perspective-Taking Interactive Fiction to Reduce Stigma Toward Dirty Work
From ethics washing to ethics bashing: a view on tech ethics from within moral philosophy
LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
Corporate Social Responsibility via Multi-Armed Bandits
Group-Fair Classification with Strategic Agents
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation
Treatment Effect Risk: Bounds and Inference
Rethinking open source generative AI: open washing and the EU AI Act