Канал: ACM FAccT Conference

FAccT'23 Community Keynote: Productivity Monitoring, Surveillance, Automation, and Big Tech Harms

FAccT'23 Community Keynote: Productivity Monitoring, Surveillance, Automation, and Big Tech Harms

Welfarist Moral Grounding for Transparent Artificial Intelligence

Welfarist Moral Grounding for Transparent Artificial Intelligence

Achieving diversity in counterfactual explanations: a review and a discussion

Achieving diversity in counterfactual explanations: a review and a discussion

The Gradient of Generative AI Release: Methods and Considerations

The Gradient of Generative AI Release: Methods and Considerations

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks

Harms from Increasingly Agentic Algorithmic Systems

Harms from Increasingly Agentic Algorithmic Systems

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

Fairness in machine learning from the perspective of sociology of statistics

Fairness in machine learning from the perspective of sociology of statistics

Skin Deep Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

Skin Deep Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?

WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?

Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application

Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application

On The Impact of Machine Learning Randomness on Group Fairness

On The Impact of Machine Learning Randomness on Group Fairness

Representation Online Matters Practical End-to-end Diversification in Search and Recommender Systems

Representation Online Matters Practical End-to-end Diversification in Search and Recommender Systems

Disparities in Text-to-Image Model Concept Possession Across Languages

Disparities in Text-to-Image Model Concept Possession Across Languages

How Biased are Your Features?Computing Fairness Influence Functions with Global Sensitivity Analysis

How Biased are Your Features?Computing Fairness Influence Functions with Global Sensitivity Analysis

Multi-dimensional discrimination in Law and Machine Learning - A comparative overview

Multi-dimensional discrimination in Law and Machine Learning - A comparative overview

Broadening AI Ethics Narratives: An Indic Art View

Broadening AI Ethics Narratives: An Indic Art View

Preventing Discriminatory Decision-making in Evolving Data Stream

Preventing Discriminatory Decision-making in Evolving Data Stream

How online behavioral advertising harms people

How online behavioral advertising harms people

Algorithmic decisions, Desire for Control, & the Preference for Human Review over Algorithmic Review

Algorithmic decisions, Desire for Control, & the Preference for Human Review over Algorithmic Review

Reconciling Individual Probability Forecasts

Reconciling Individual Probability Forecasts

Trustworthy AI and the Logics of Intersectional Resistance

Trustworthy AI and the Logics of Intersectional Resistance

Stronger Together: Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML

Stronger Together: Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML

Bias as Boundary Object: Critiquing An Algorithm For Austerity Using Bias Frameworks

Bias as Boundary Object: Critiquing An Algorithm For Austerity Using Bias Frameworks

Honor ethics: The Challenge of Globalizing Value Alignment in AI

Honor ethics: The Challenge of Globalizing Value Alignment in AI

Machine Explanations and Human Understanding

Machine Explanations and Human Understanding

‘We are adults and deserve control of our phones’

‘We are adults and deserve control of our phones’

How to Explain and Justify Almost Any Decision

How to Explain and Justify Almost Any Decision

Discrimination through Image Choice by Job Advertisers on Facebook

Discrimination through Image Choice by Job Advertisers on Facebook

Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans

Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans

Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven Decision Support...

Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven Decision Support...

Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for...

Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for...

Bias Against 93 Stigmatized Groups - Masked Language Models and...

Bias Against 93 Stigmatized Groups - Masked Language Models and...

Envisioning Equitable Speech Technologies for Black Older Adults

Envisioning Equitable Speech Technologies for Black Older Adults

Who Should Pay When Machines Cause Harm?

Who Should Pay When Machines Cause Harm?

Simplicity Bias Leads to Amplified Performance Disparities

Simplicity Bias Leads to Amplified Performance Disparities

Interrogating the T in FAccT

Interrogating the T in FAccT

Capturing Humans' Mental Models of AI: An Item Response Theory Approach

Capturing Humans' Mental Models of AI: An Item Response Theory Approach

Cross-Institutional Transfer Learning for Educational Models

Cross-Institutional Transfer Learning for Educational Models

Fairness Auditing of Urban Decisions using LP-based Data Combination

Fairness Auditing of Urban Decisions using LP-based Data Combination

The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices

The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice

"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models

"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models

Algorithmic Transparency and Accountability through Crowdsourcing

Algorithmic Transparency and Accountability through Crowdsourcing

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study

Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study

Affordances for Machine Learning

Affordances for Machine Learning

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending...

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending...

Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument

Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument

The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions

The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions

In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India

In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India

On the Independence of Association Bias and Empirical Fairness in Language Models

On the Independence of Association Bias and Empirical Fairness in Language Models

Algorithmic Transparency from the South: Examining the state of algorithmic transparency in Chile...

Algorithmic Transparency from the South: Examining the state of algorithmic transparency in Chile...

On the Praxes and Politics of AI Speech Emotion Recognition

On the Praxes and Politics of AI Speech Emotion Recognition

Detection and Mitigation of Algorithmic Bias via Predictive Parity

Detection and Mitigation of Algorithmic Bias via Predictive Parity

Arbitrary Decisions are a Hidden Cost of Differentially-Private Training

Arbitrary Decisions are a Hidden Cost of Differentially-Private Training

Counterfactual Prediction Under Outcome Measurement Error

Counterfactual Prediction Under Outcome Measurement Error

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and...

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and...

Reconciling Governmental Use of Online Targeting With Democracy

Reconciling Governmental Use of Online Targeting With Democracy

Improving Fairness in AI Models on Electronic Health Records the case for Federated Learning Methods

Improving Fairness in AI Models on Electronic Health Records the case for Federated Learning Methods

You Sound Depressed: A Case Study on Sonde Health’s Diagnostic Use of Voice Analysis AI

You Sound Depressed: A Case Study on Sonde Health’s Diagnostic Use of Voice Analysis AI

Uncovering the Practices and Opportunities for Cross-functional Collaboration around AI Fairness...

Uncovering the Practices and Opportunities for Cross-functional Collaboration around AI Fairness...

Runtime Monitoring of Dynamic Fairness Properties

Runtime Monitoring of Dynamic Fairness Properties

Domain Adaptive Decision Trees: Implications for Accuracy and Fairness

Domain Adaptive Decision Trees: Implications for Accuracy and Fairness

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong

It’s about power: What ethical concerns do software engineers have, and what do they do about them?

It’s about power: What ethical concerns do software engineers have, and what do they do about them?

Representation in AI Evaluations

Representation in AI Evaluations

What’s fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical...

What’s fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical...

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms

Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable...

Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable...

Personalized Pricing with Group Fairness Constraint

Personalized Pricing with Group Fairness Constraint

Examining risks of racial biases in NLP tools for child protective services

Examining risks of racial biases in NLP tools for child protective services

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal...

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal...

Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?

Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Delayed and Indirect Impacts of Link Recommendations

Delayed and Indirect Impacts of Link Recommendations

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens...

Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens...

Detecting disparities in police deployments using dashcam data

Detecting disparities in police deployments using dashcam data

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity...

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity...

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making

Data Collaboratives with the Use of Decentralised Learning - an Alternative Approach to Data...

Data Collaboratives with the Use of Decentralised Learning - an Alternative Approach to Data...

Care and Coordination in Algorithmic Systems: An Economies of Worth Approach

Care and Coordination in Algorithmic Systems: An Economies of Worth Approach

Power and Resistance in the Twitter Bias Discourse

Power and Resistance in the Twitter Bias Discourse

Robustness implies Fairness in Casual Algorithmic Recourse

Robustness implies Fairness in Casual Algorithmic Recourse

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias

On (assessing) the fairness of risk score models

On (assessing) the fairness of risk score models

Ethical considerations in the early detection of Alzheimer's disease using speech and AI

Ethical considerations in the early detection of Alzheimer's disease using speech and AI

(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education

(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education

Augmented Datasheets for Speech Datasets and Ethical Decision-Making

Augmented Datasheets for Speech Datasets and Ethical Decision-Making

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness

Gender Animus Can Still Exist Under Favorable Disparate Impact...

Gender Animus Can Still Exist Under Favorable Disparate Impact...

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?

Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human...

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human...

“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns...

“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns...

Your Browsing History May Cost You: A Framework for Discovering Differential Pricing...

Your Browsing History May Cost You: A Framework for Discovering Differential Pricing...

"We try to empower them" - Exploring future technologies to support migrant jobseekers

"We try to empower them" - Exploring future technologies to support migrant jobseekers

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability

Organizational governance of emerging technologies: AI adoption in healthcare

Organizational governance of emerging technologies: AI adoption in healthcare

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law...

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law...

Group fairness without demographics using social networks

Group fairness without demographics using social networks

Towards Labor Transparency in Situated Computational Impact Research

Towards Labor Transparency in Situated Computational Impact Research

UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity

UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity

Questioning the ability of feature-based explanations to empower non-experts...

Questioning the ability of feature-based explanations to empower non-experts...

AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia

AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia

To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act's...

To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act's...

FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms

FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms

Making Intelligence: Ethical Values in IQ and ML Benchmarks

Making Intelligence: Ethical Values in IQ and ML Benchmarks

Maximal Fairness

Maximal Fairness

Navigating the Audit Landscape: A framework for developing transparent and auditable XR

Navigating the Audit Landscape: A framework for developing transparent and auditable XR

Addressing contingency in algorithmic (mis)information classification

Addressing contingency in algorithmic (mis)information classification

Datafication Genealogies beyond Algorithmic Fairness: Making Up of Racialised Subjects

Datafication Genealogies beyond Algorithmic Fairness: Making Up of Racialised Subjects

AI Regulation is (not) all You Need

AI Regulation is (not) all You Need

Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations...

Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations...

More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in...

More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in...

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among...

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among...

Reducing Access Disparities in Networks using Edge Augmentation

Reducing Access Disparities in Networks using Edge Augmentation

Measuring and mitigating voting access disparities: a study of race and polling locations...

Measuring and mitigating voting access disparities: a study of race and polling locations...

Going public: the role of public participation approaches in commercial AI labs

Going public: the role of public participation approaches in commercial AI labs

Overcoming the impossibility of fairness through impact assessment in the European Union: a legal...

Overcoming the impossibility of fairness through impact assessment in the European Union: a legal...

Implementing Fairness Constraints in Markets Using Taxes and Subsidies

Implementing Fairness Constraints in Markets Using Taxes and Subsidies

AI in the Public Eye: Building Public AI Literacy through Critical AI Art

AI in the Public Eye: Building Public AI Literacy through Critical AI Art

Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination

Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination

Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit...

Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit...

On the Site of Predictive Justice

On the Site of Predictive Justice

"This is Transparency to Me": User Insights into Designing Recommendation Algorithm Transparency...

"This is Transparency to Me": User Insights into Designing Recommendation Algorithm Transparency...

The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool

The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool

Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation

Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to...

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to...

Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation

Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation

Moving beyond ‘many hands’: Accountability in algorithmic supply chains

Moving beyond ‘many hands’: Accountability in algorithmic supply chains

On the Richness of Calibration

On the Richness of Calibration

A Systematic Review of Ethics Disclosures in Predictive Mental Health Research

A Systematic Review of Ethics Disclosures in Predictive Mental Health Research

Regulating ChatGPT and other Large Generative AI Models

Regulating ChatGPT and other Large Generative AI Models

The role of explainable AI in the context of the AI Act

The role of explainable AI in the context of the AI Act

A Sociotechnical Audit: Assessing Police Use of Facial Recognition

A Sociotechnical Audit: Assessing Police Use of Facial Recognition

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature

Optimization's Neglected Normative Assumptions

Optimization's Neglected Normative Assumptions

Disentangling and Operationalizing AI Fairness at LinkedIn

Disentangling and Operationalizing AI Fairness at LinkedIn

Tutorial 1: Finding and Using Undocumented APIs for Algorithm Audits

Tutorial 1: Finding and Using Undocumented APIs for Algorithm Audits

Paper session 17: Risks and policy of generative models

Paper session 17: Risks and policy of generative models

Personalized Pricing with Group Fairness Constraint

Personalized Pricing with Group Fairness Constraint

Paper session 6: Racial bias

Paper session 6: Racial bias

A Theory of Auditability for Allocation and Social Choice Mechanisms

A Theory of Auditability for Allocation and Social Choice Mechanisms

FAccT'23 Keynote: "The power of predictions"

FAccT'23 Keynote: "The power of predictions"

Paper session 18: Privacy

Paper session 18: Privacy

CRAFT 8: From Research Insight to Policy Impact - How You Can Engage in Current AI Policy Debates

CRAFT 8: From Research Insight to Policy Impact - How You Can Engage in Current AI Policy Debates

Runtime Monitoring of Dynamic Fairness Properties

Runtime Monitoring of Dynamic Fairness Properties

Tutorial 2: Using the NIST AI Risk Management Framework

Tutorial 2: Using the NIST AI Risk Management Framework

Paper session 5: Explainability (limitations)

Paper session 5: Explainability (limitations)

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

FAccT'23 Keynote: "Thick Alignment"

FAccT'23 Keynote: "Thick Alignment"

FAccT'23 Keynote: "Feminist design principles in the future of global work"

FAccT'23 Keynote: "Feminist design principles in the future of global work"

Paper session 14: Practical methods

Paper session 14: Practical methods

Paper session 20: Recommendation Systems

Paper session 20: Recommendation Systems

Paper session 16: Measurement in the wild

Paper session 16: Measurement in the wild

FAccT'23 Keynote: "Conversation with EEOC Chair Burrows: Civil Rights and AI in Employment"

FAccT'23 Keynote: "Conversation with EEOC Chair Burrows: Civil Rights and AI in Employment"

Tutorial 5b: AI Governance and Policy in the US: Spotlight on the Blueprint for an AI Bill of Rights

Tutorial 5b: AI Governance and Policy in the US: Spotlight on the Blueprint for an AI Bill of Rights

Paper session 15: Speech & emotion recognition

Paper session 15: Speech & emotion recognition

Paper session 22: AI Regulation & the EU AI Act

Paper session 22: AI Regulation & the EU AI Act

FAccT'23 Keynote: "Dissecting health algorithms"

FAccT'23 Keynote: "Dissecting health algorithms"

"I'm fully who I am'': Towards Centering Transgender and Non-Binary Voices to Measure Biases in…

"I'm fully who I am'': Towards Centering Transgender and Non-Binary Voices to Measure Biases in…

Tutorial 4: Generative AI meets Responsible AI: Practical Challenges and Opportunities

Tutorial 4: Generative AI meets Responsible AI: Practical Challenges and Opportunities

FAccT'23 Keynote: The Community Built a Model: Using Participatory AI to Analyze Chicago Police Data

FAccT'23 Keynote: The Community Built a Model: Using Participatory AI to Analyze Chicago Police Data

Paper session 7: Values and Representation

Paper session 7: Values and Representation

FAccT'23 Keynote: "The Humans Behind the Intelligence: Speaking with Data Workers"

FAccT'23 Keynote: "The Humans Behind the Intelligence: Speaking with Data Workers"

Paper session 19: Sociology & machine learning

Paper session 19: Sociology & machine learning

Paper session 12: Participatory AI

Paper session 12: Participatory AI

Paper session 10: Normative philosophy & AI

Paper session 10: Normative philosophy & AI

Tutorial 11: An Introduction to LLMs for Fairness, Accountability, and Transparency Researchers

Tutorial 11: An Introduction to LLMs for Fairness, Accountability, and Transparency Researchers

Tutorial 7: Using Technical Skills to Fight Actual Public Benefits Cuts and Austerity Policies

Tutorial 7: Using Technical Skills to Fight Actual Public Benefits Cuts and Austerity Policies

CRAFT 24: Legal Accountability in Europe: litigation & regulatory action against big tech platforms

CRAFT 24: Legal Accountability in Europe: litigation & regulatory action against big tech platforms

Paper Session 27: Metrics

Paper Session 27: Metrics

Paper session 9: Market-based approaches

Paper session 9: Market-based approaches

Tutorial 5 (part 1): Contextualizing AI with Cross-Cultural Perspectives

Tutorial 5 (part 1): Contextualizing AI with Cross-Cultural Perspectives

Tutorial 10.2: The Rubber Meets the Road: Implementing AI Governance in a Public Agency in San José

Tutorial 10.2: The Rubber Meets the Road: Implementing AI Governance in a Public Agency in San José

Paper session 8: Healthcare

Paper session 8: Healthcare

Paper session 11: Networks & Platforms

Paper session 11: Networks & Platforms

Tutorial 9: Participatory Methods: Views From Computer Science, Political Science and Design

Tutorial 9: Participatory Methods: Views From Computer Science, Political Science and Design

CRAFT 21: Resisting the New Jim Code in the Old South: Lessons from the Field

CRAFT 21: Resisting the New Jim Code in the Old South: Lessons from the Field

Paper Session 30: Power & resistance

Paper Session 30: Power & resistance

Paper session 4: Self-reflection

Paper session 4: Self-reflection

Paper session 21: Algorithms in the wild

Paper session 21: Algorithms in the wild

Paper session 2: Revisiting Trade-Offs and Impossibility Theorems

Paper session 2: Revisiting Trade-Offs and Impossibility Theorems

Paper Session 31: Fairness and Diversity II

Paper Session 31: Fairness and Diversity II

Paper Session 28: Multiplicity

Paper Session 28: Multiplicity

CRAFT 17: Lived Experiences of “Reform Tech” in Criminal Legal and Immigration Systems

CRAFT 17: Lived Experiences of “Reform Tech” in Criminal Legal and Immigration Systems

Paper session 24: Model evaluation

Paper session 24: Model evaluation

Paper Session 26: Transparency

Paper Session 26: Transparency

Tutorial 10.1: A Guiding Framework for Vetting Technology Vendors Operating in the Public Sector

Tutorial 10.1: A Guiding Framework for Vetting Technology Vendors Operating in the Public Sector

Paper session 13: Targeted advertising

Paper session 13: Targeted advertising

Paper session 3: Auditing

Paper session 3: Auditing

Paper Session 29: Workplace

Paper Session 29: Workplace

CRAFT 15: Assessing the Impacts of Generative AI Systems Across Modalities and Society

CRAFT 15: Assessing the Impacts of Generative AI Systems Across Modalities and Society

How to Bargain with a Black Box: Auditing an Algorithmic Pay Change With a Community-Led Audit

How to Bargain with a Black Box: Auditing an Algorithmic Pay Change With a Community-Led Audit

Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore

Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore