ACM FAccT - 2023 Program

<!DOCTYPE html> <html class="no-js"> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <title>ACM FAccT - 2023 Program</title> <meta name="description" content=""> <meta name="viewport" content="width=device-width">  <link rel="stylesheet" href="/static/css/bootstrap-spacelab.min.css"> <link rel="stylesheet" href="/static/css/main.css"> <script src="/static/js/vendor/modernizr-2.6.2.js"></script> </head> <body> <div class="navbar navbar-default navbar-fixed-top"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse"> <span class="icon-bar"></span> <span class="icon-bar"></span> <span class="icon-bar"></span> </button> <a class='navbar-brand' href='/'>ACM FAccT Conference</a> </div> <div class="navbar-collapse collapse"> <ul class="nav navbar-nav"> <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">2025 <b 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href='/2023/schedule-simplified'>simplified</a> version of this program is available. Papers are available in the <a href="https://dl.acm.org/doi/proceedings/10.1145/3593013">proceedings</a>.</div> </div> </div> <style> .table td { vertical-align: top; } .table th { vertical-align: top; font-weight: bold; text-align: left; } h3 { margin: 1px; } .sessioncontents { border-spacing: 1em 0.1em; border-collapse: separate; } .sessioncontents:first-of-type { padding-bottom: 1.2em; } #remove{ border: none; } </style> <div class="container"> <div class="row"> <div class="col-lg-12">  <a data-toggle="collapse" href="#collapseMon" role="button" aria-expanded="false" aria-controls="collapseMon"><h2>Day 1 (Monday, June 12th) <span class="label label-primary"></span></h2></a> <div class="collapse in" id="collapseMon"> <p> <table class="table"> <colgroup> <col width="20%"/> <col width="80%"/> </colgroup> <tr class="crafts"> <th scope="row" rowspan="2">9:00am - 10:30am</th> <th scope="row">Doctoral Colloquium I and CRAFT I</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Doctoral Colloquium</th> <th scope="col" width="33%">DEI Fellows Session</th> <th scope="col" width="33%">CRAFT 1</th> </tr> <tr> <td width="33%"><em>Jackson A</em></td> <td width="33%"><em>ONLINE ONLY</em></td> <td width="33%"><em>Jackson C</em></td> </tr> <tr> <td width="33%">(Only for PhD students selected through the <a href='/2023/callfordc'>call for DC</a>.)</td> <td width="33%"><a href='/2023/acceptedcraft#fubuc'>FUBU: Community and Care in Conferences and Research</a></td> <td width="33%"><a href='/2023/acceptedcraft#dragv'>#DragVsAI: Exploring Facial Recognition Technologies through Embodied Algorithmic Tinkering</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 2</th> <th scope="col" width="33%">CRAFT 3</th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>Jackson B</em></td> <td width="33%"><em>ONLINE</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#respo'>Responsibly Working with Crowdsourced Data</a></td> <td width="33%"><a href='/2023/acceptedcraft#towar'>Towards an India-first Responsible AI research agenda</a></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">10:30am - 11:00am</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">11:00am - 12:00pm</th> <th scope="row">Doctoral Colloquium II and CRAFT II</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Doctoral Colloquium (cont.)</th> <th scope="col" width="33%">CRAFT 4 (ends at 12:30pm)</th> <th scope="col" width="33%">CRAFT 5 (ends at 12:15pm)</th> </tr> <tr> <td width="33%"><em>Jackson A</em></td> <td width="33%"><em>Jackson B</em></td> <td width="33%"><em>Jackson C</em></td> </tr> <tr> <td width="33%"></td> <td width="33%"><a href='/2023/acceptedcraft#langm'>Language Models and Society: Bridging Research and Policy</a></td>  <td width="33%"><a href='/2023/acceptedcraft#thero'>The Road to the Table: Laying the Foundation for a Black Feminist Impact Assessment</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 6 cancelled</th> <th scope="col" width="33%">CRAFT 7 (ends at 12:30pm)</th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em></em></td> <td width="33%"><em>Online</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"></td> <td width="33%"><a href='/2023/acceptedcraft#mappi'>Mapping the Risk Surface of Text-to-Image AI: A Participatory, Cross-Disciplinary Workshop</a></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">12:00pm - 1:30pm</th> <th scope="row">Lunch</th> </tr> <tr class="plenary"> <th scope="row" rowspan="2">1:30pm - 1:45pm</th> <th scope="row">Welcome by General Chairs</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> <tr class="keynote"> <th scope="row" rowspan="2">1:45pm - 2:45pm</th> <th scope="row">Keynote I: <a href='/2023/keynotes#nelson'>Dr. Alondra Nelson, Institute for Advanced Study</a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="food"> <th scope="row" rowspan="1">2:45pm - 3:15pm</th> <th scope="row">Break</th> </tr> <tr class="research"> <th scope="row" rowspan="2">3:15pm - 4:15pm</th> <th scope="row">Proceedings I</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s01'>Paper session 1: Decisions, Trust, & Reliance</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s02'>Paper session 2: Revisiting Trade-Offs and Impossibility Theorems</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s03'>Paper session 3: Auditing</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study<br/> · On the Impact of Explanations on Understanding of Algorithmic Decision-Making<br/> · Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies<br/> · Machine Explanations and Human Understanding<br/> · Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application<br/> </td> <td width="33%"> · The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice<br/> · Maximal Fairness<br/> · Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective<br/> · Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking<br/> · Simplicity Bias Leads to Amplified Performance Disparities<br/> </td> <td width="33%"> · A Sociotechnical Audit: Assessing Police Use of Facial Recognition<br/> · Navigating the Audit Landscape: A framework for developing transparent and auditable XR<br/> · Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?<br/> · AI Regulation Is (not) All You Need<br/> · Examining risks of racial biases in NLP tools for child protective services<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s04'>Paper session 4: Self-reflection</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Interrogating the T in FAccT<br/> · Representation in AI Evaluations<br/> · A Systematic Review of Ethics Disclosures in Predictive Mental Health Research<br/> · The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices.<br/> · WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">4:15pm - 4:30pm</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">4:30pm - 6:00pm</th> <th scope="row">Tutorials I and CRAFT III</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Tutorial 1</th> <th scope="col" width="33%">Tutorial 2</th> <th scope="col" width="33%">Tutorial 3</th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedtuts#findi'>Practice Tutorial: Finding and Using Undocumented APIs for Algorithm Audits</a></td> <td width="33%"><a href='/2023/acceptedtuts#using'>Practice Tutorial: Using the NIST AI Risk Management Framework</a></td> <td width="33%"><a href='/2023/acceptedtuts#respo'>Practice Tutorial: Responsible AI Toolbox</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 8</th> <th scope="col" width="33%">CRAFT 9</th> <th scope="col" width="33%">CRAFT 10</th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"><em>Jackson B</em></td> <td width="33%"><em>Jackson C</em></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#fromr'>From Research Insight to Policy Impact - How You Can Engage in Current AI Policy Debates</a></td> <td width="33%"><a href='/2023/acceptedcraft#usere'>User Engagement in Algorithm Testing and Auditing: Exploring Opportunities and Tensions between Practitioners and End Users</a>  </td> <td width="33%"><a href='/2023/acceptedcraft#modal'>Automation of Elder Care </a>  </td> </tr> </table> </td> </tr> </table> </p> </div>   <a data-toggle="collapse" href="#collapseTue" role="button" aria-expanded="false" aria-controls="collapseTue"><h2>Day 2 (Tuesday, June 13th) <span class="label label-primary"></span></h2></a> <div class="collapse in" id="collapseTue"> <p> <table class="table"> <colgroup> <col width="20%"/> <col width="80%"/> </colgroup> <tr class="plenary"> <th scope="row" rowspan="2">8:30am - 8:45am</th> <th scope="row">Welcome Notes</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> <tr class="keynote"> <th scope="row" rowspan="2">8:45am - 9:45am</th> <th scope="row">Keynote II: <a href='/2023/keynotes#obermeyer'>Ziad Obermeyer - <em>Dissecting health algorithms</em></a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="food"> <th scope="row" rowspan="1">9:45am - 10:15am</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">10:15am - 11:45am</th> <th scope="row">Tutorials II and CRAFT IV</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Tutorial 4</th> <th scope="col" width="33%">Tutorials 5a, 5b</th> <th scope="col" width="33%">CRAFT 11</th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedtuts#gener'>Implications Tutorial: Generative AI meets Responsible AI: Practical Challenges and Opportunities</a></td> <td width="33%"> (10:15am) <a href='/2023/acceptedtuts#contex'>Translation Tutorial: Contextualizing AI with Cross-Cultural Perspectives</a><br/> (11:00am) <a href='/2023/acceptedtuts#aigov'>Implications Tutorial: AI Governance and Policy in the US - Spotlight on the Blueprint for an AI Bill of Rights</a><br/> </td> <td width="33%"><a href='/2023/acceptedcraft#thedi'>The “Digital Trade” Sneak Attack on AI Oversight & Regulation Underway Today</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 12</th> <th scope="col" width="33%">CRAFT 13</th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"><em>Jackson B</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#digit'>Digital Apartheid and the Horn of Africa</a></td> <td width="33%"><a href='/2023/acceptedcraft#aieth'>AI ethics landscape in Chinese tech industry: regulatory policy, research, and practice</a></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">11:45am - 1:15pm</th> <th scope="row">Lunch</th> </tr> <tr class="keynote"> <th scope="row" rowspan="2">1:15pm - 2:15pm</th> <th scope="row">Keynote III: <a href='/2023/keynotes#hanna'>Alex Hanna (DAIR Institute), Brook Hansen, Krista Pawloski, Krystal Kauffman (Turkopticon)</a> </th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="research"> <th scope="row" rowspan="2">2:25pm - 3:25pm</th> <th scope="row">Proceedings II</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s05'>Paper session 5: Explainability (limitations)</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s06'>Paper session 6: Racial bias</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s07'>Paper session 7: Values and representation</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Diagnosing AI Explanation Methods with Folk Concepts of Behavior<br/> · How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making<br/> · Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making<br/> · Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven Decision Support using Evaluative AI<br/> · Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US and UK<br/> </td> <td width="33%"> · An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature<br/> · Datafication Genealogies beyond Algorithmic Fairness: Making Up of Racialised Subjects<br/> · How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved<br/> · Envisioning Equitable Speech Technologies for Black Older Adults<br/> · Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets<br/> </td> <td width="33%"> · Broadening AI Ethics Narratives: An Indic Art View<br/> · AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia<br/> · Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care<br/> · Honor Ethics: The Challenge of Globalizing Value Alignment in AI<br/> · In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s08'>Paper session 8: Healthcare</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Care and Coordination in Algorithmic Systems: An Economies of Worth Approach<br/> · Organizational governance of emerging technologies: AI adoption in healthcare<br/> · Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans<br/> · What’s fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning<br/> · Improving Fairness in AI Models on Electronic Health Records: the case for Federated Learning Methods<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">3:25pm - 3:45pm</th> <th scope="row">Break</th> </tr> <tr class="research"> <th scope="row" rowspan="2">3:45pm - 4:45pm</th> <th scope="row">Proceedings III</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s09'>Paper session 9: Market-based approaches</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s10'>Paper session 10: Normative philosophy & AI</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s11'>Paper session 11: Networks & Platforms</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms<br/> · Implementing Fairness Constraints in Markets Using Taxes and Subsidies<br/> · Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks<br/> · Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets<br/> · A Theory of Auditability for Allocation and Social Choice Mechanisms<br/> </td> <td width="33%"> · Optimization's Neglected Normative Commitments<br/> · Making Intelligence: Ethical Values in IQ and ML Benchmarks<br/> · Harms from Increasingly Agentic Algorithmic Systems<br/>  · On the Site of Predictive Justice<br/> </td> <td width="33%"> · Reducing Access Disparities in Networks using Edge Augmentation<br/> · Group fairness without demographics using social networks<br/> · Delayed and Indirect Impacts of Link Recommendations<br/> · Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?<br/> · Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s12'>Paper session 12: Participatory AI</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Towards Labor Transparency in Situated Computational Impact Research<br/> · The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers<br/> · Going public: the role of public participation approaches in commercial AI labs<br/> · Queer In AI: A Case Study in Community-Led Participatory AI<br/> · AI in the Public Eye: Building Public AI Literacy through Critical AI Art<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">4:45pm - 5:00pm</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">5:00pm - 6:30pm</th> <th scope="row">Tutorials III and CRAFT V</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Tutorial 6 (ends at 6:00pm)</th> <th scope="col" width="33%">Tutorial 7 (ends at 6:30pm)</th> <th scope="col" width="33%">CRAFT 14</th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedtuts#integ'>Practice Tutorial: Integrating Notions of Fairness and Demographic Variance Into Large Personalized Advertising Systems</a></td> <td width="33%"><a href='/2023/acceptedtuts#using2'>Translation Tutorial: Using Technical Skills to Fight Actual Public Benefits Cuts and Austerity Policies, with the Benefits Tech Advocacy Hub</a></td> <td width="33%"><a href='/2023/acceptedcraft#aiart'>"AI Art" and Its Impact on Artists</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 15</th> <th scope="col" width="33%">CRAFT 16</th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"><em>Jackson B</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#modal'>Assessing the Impacts of Generative AI Systems Across Modalities and Society</a></td>  <td width="33%"><a href='/2023/acceptedcraft#bring'>Bringing People In to High-Stakes System Design: Concrete Challenges and Emerging Lessons</a></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="plenary"> <th scope="row" rowspan="2">7:00pm - 8:30pm</th> <th scope="row">Recursion: a play by Andrew Gelman and Jessica Hullman</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> </table> </p> </div>   <a data-toggle="collapse" href="#collapseWed" role="button" aria-expanded="false" aria-controls="collapseWed"><h2>Day 3 (Wednesday, June 14th) <span class="label label-primary"></span></h2></a> <div class="collapse in" id="collapseWed"> <p> <table class="table"> <colgroup> <col width="20%"/> <col width="80%"/> </colgroup> <tr class="plenary"> <th scope="row" rowspan="2">8:30am - 8:45am</th> <th scope="row">Welcome Notes</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> <tr class="keynote"> <th scope="row" rowspan="2">8:45am - 9:45am</th> <th scope="row">Keynote IV: <a href='/2023/keynotes#hardt'>Moritz Hardt, Director at Max Planck Institute for Intelligent Systems - <em>The power of predictions</em></a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="food"> <th scope="row" rowspan="1">9:45am - 10:15am</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">10:15am - 11:45am</th> <th scope="row">Tutorials IV and CRAFT VI</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Tutorials 8a, 8b</th> <th scope="col" width="33%">Tutorial 9</th> <th scope="col" width="33%">CRAFT 17</th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> (10:15am) <a href='/2023/acceptedtuts#steer'>Translation Tutorial: Steering Language Models with Reinforcement Learning from Human Feedback and Constitutional AI</a><br/> (11:00am) <a href='/2023/acceptedtuts#theor'>Translation Tutorial: Theories of Propaganda and New Technology: Applications and Interventions</a><br/> </td> <td width="33%"><a href='/2023/acceptedtuts#pract'>Translation Tutorial: Practices and Limitations of Participatory Methods: Views From Computer Science, Political Science and Design</a></td>  <td width="33%"><a href='/2023/acceptedcraft#theet'>Lived Experiences of «Reform Tech» in Criminal Legal and Immigration Systems</a></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 18</th> <th scope="col" width="33%">CRAFT 19</th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"><em>ONLINE ONLY</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#theor'>Theories of Change in Responsible AI</a>  </td>  <td width="33%"><a href='/2023/acceptedcraft#inves'>Investigating and Challenging Algorithmic Welfare Systems</a></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">11:45am - 1:15pm</th> <th scope="row">Lunch</th> </tr> <tr class="keynote"> <th scope="row" rowspan="2">1:15pm - 2:15pm</th> <th scope="row">Keynote V: <a href='/2023/keynotes#arora'>Payal Arora, Professor at Erasmus University Rotterdam - <em>Feminist design principles in the future of global work</em></a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="research"> <th scope="row" rowspan="2">2:25pm - 3:25pm</th> <th scope="row">Proceedings IV</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s13'>Paper session 13: Targeted advertising</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s14'>Paper session 14: Practical methods</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s15'>Paper session 15: Speech & emotion recognition</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Reconciling Governmental Use of Online Targeting With Democracy<br/> · Discrimination through Image Selection by Job Advertisers on Facebook<br/> · Representation, Self-Determination, and Refusal: Queer People's Experiences with Targeted Advertising<br/> · The slow violence of surveillance capitalism: How online behavioral advertising harms people<br/> · Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation<br/> </td> <td width="33%"> · Preventing Discriminatory Decision-making in Evolving Data Stream<br/> · Group-Fair Classification with Strategic Agents<br/> · Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness<br/> · Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation<br/> · Domain Adaptive Decision Trees: Implications for Accuracy and Fairness<br/> </td> <td width="33%"> · You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI<br/> · (Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education<br/> · On the Praxes and Politics of AI Speech Emotion Recognition<br/> · Ethical considerations in the early detection of Alzheimer's disease using speech and AI<br/> · Augmented Datasheets for Speech Datasets and Ethical Decision-Making<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s16'>Paper session 16: Measurement in the wild</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens on Algorithmic Audits<br/> · Detecting disparities in police deployments using dashcam data<br/> · Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina<br/> · Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity<br/> · Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">3:25pm - 3:45pm</th> <th scope="row">Break</th> </tr> <tr class="research"> <th scope="row" rowspan="2">3:45pm - 4:45pm</th> <th scope="row">Proceedings V</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s17'>Paper session 17: Risks and policy of generative models</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s18'>Paper session 18: Privacy</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s19'>Paper session 19: Sociology & machine learning</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias<br/> · "I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models<br/> · The Gradient of Generative AI Release: Methods and Considerations<br/> · Disparities in Text-to-Image Model Concept Possession Across Languages<br/> · On the Independence of Association Bias and Empirical Fairness in Language Models<br/> </td> <td width="33%"> · More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies<br/> · Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity<br/> · Data Collaboratives with the Use of Decentralised Learning - an Alternative Approach to Data Governance<br/> · In the Name of Fairness: Assessing the Bias in Clinical Record De-identification<br/> · The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government<br/> </td> <td width="33%"> · Affordances' for Machine Learning<br/> · Fairness in machine learning from the perspective of sociology of statistics: How machine learning is becoming scientific by turning its back on metrological realism<br/> · Capturing Humans' Mental Models of AI: An Item Response Theory Approach<br/> · Algorithmic Decisions, Desire for Control, and the Preference for Human Review over Algorithmic Review<br/> · Emotions and Dynamic Assemblages: A Study of Automated Social Security Using Qualitative Longitudinal Research<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s20'>Paper session 20: Recommendation systems</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity<br/> · Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems<br/> · The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation<br/> · Representation Online Matters: Practical End-to-end Diversification in Search and Recommender Systems<br/> · "I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">4:45pm - 5:00pm</th> <th scope="row">Break</th> </tr> <tr class="research"> <th scope="row" rowspan="2">5:00pm - 6:00pm</th> <th scope="row">Proceedings VI</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s21'>Paper session 21: Algorithms in the wild</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s22'>Paper session 22: AI Regulation & the EU AI Act</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s23'>Paper session 23: Fairness and diversity I</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Disentangling and Operationalizing AI Fairness at LinkedIn<br/> · Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery<br/> · The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool<br/> · Bias as Boundary Object: Unpacking the Politics of an Austerity Algorithm using Bias Frameworks<br/> · The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments<br/> </td> <td width="33%"> · Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML<br/> · To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards<br/> · The role of explainable AI in the context of the AI Act<br/> · Regulating ChatGPT and other Large Generative AI Models<br/> · Understanding accountability in algorithmic supply chains<br/> </td> <td width="33%"> · "I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation<br/> · Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale<br/> · On The Impact of Machine Learning Randomness on Group Fairness<br/> · Detection and Mitigation of Algorithmic Bias via Predictive Parity<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s24'>Paper session 24: Model evaluation</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making<br/> · ACROCPoLis: A Descriptive Framework for Making Sense of Fairness<br/> · "How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis<br/> · Fairness Auditing of Urban Decisions using LP-based Data Combination<br/> · Counterfactual Prediction Under Outcome Measurement Error<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> </table> </p> </div>   <a data-toggle="collapse" href="#collapseThu" role="button" aria-expanded="false" aria-controls="collapseThu"><h2>Day 4 (Thursday, June 15th) <span class="label label-primary"></span></h2></a> <div class="collapse in" id="collapseThu"> <p> <table class="table"> <colgroup> <col width="20%"/> <col width="80%"/> </colgroup> <tr class="plenary"> <th scope="row" rowspan="2">8:30am - 8:45am</th> <th scope="row">Welcome Notes</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> <tr class="keynote"> <th scope="row" rowspan="2">8:45am - 9:45am</th> <th scope="row">Keynote VI: <a href='/2023/keynotes#burrows'>Conversation with US Equal Employment Opportunity Commission (EEOC) Chair, Charlotte Burrows: <em>Civil Rights and AI in Employment</em></a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="food"> <th scope="row" rowspan="1">9:45am - 10:15am</th> <th scope="row">Break</th> </tr> <tr class="crafts"> <th scope="row" rowspan="2">10:15am - 11:45am</th> <th scope="row">Tutorials V and CRAFT VII</th> </tr> <tr class="crafts"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">Tutorials 10a, 10b</th> <th scope="col" width="33%">Tutorial 11</th> <th scope="col" width="33%">CRAFT 20 cancelled</th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em></em></td> </tr> <tr> <td width="33%"> (10:15am) <a href='/2023/acceptedtuts#guidi'>Translation Tutorial: A Guiding Framework for Vetting Technology Vendors Operating in the Public Sector</a><br/> (11:00am) <a href='/2023/acceptedtuts#whent'>Practice Tutorial: When the Rubber Meets the Road: Experience Implementing AI Governance in a Public Agency with the City of San José</a><br/> </td> <td width="33%"><a href='/2023/acceptedtuts#hands'>Translation Tutorial: A Hands-On Introduction to Large Language Models for Fairness, Accountability, and Transparency Researchers</a></td>  <td width="33%"></td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 21</th> <th scope="col" width="33%">CRAFT 22</th> <th scope="col" width="33%">CRAFT 23</th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"><em>W195</em></td> <td width="33%"><em>Online</em></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#resis'>Resisting the New Jim Code in the Old South: Lessons from the Field</a></td> <td width="33%"><a href='/2023/acceptedcraft#commu'>Community-collaborative visions for computing research</a>  </td> <td width="33%"><a href='/2023/acceptedcraft#human'>Humanitarian AI for the Global South</a>  </td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">11:45am - 1:15pm</th> <th scope="row">Lunch</th> </tr> <tr class="research"> <th scope="row" rowspan="2">1:15pm - 2:15pm</th> <th scope="row">Proceedings VII</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s25'>Paper session 25: Algorithmic Discrimination - Legal/Technical perspectives</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s26'>Paper session 26: Transparency</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s27'>Paper session 27: Metrics</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending<br/> · Multi-dimensional discrimination in Law and Machine Learning - A comparative overview<br/> · Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree<br/> · Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination<br/> · Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable and Just Algorithmic System Design<br/> </td> <td width="33%"> · Rethinking Transparency as a Communicative Constellation<br/> · Algorithmic Transparency from the South Examining the state of algorithmic transparency in Chile's public administration algorithms<br/> · Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes<br/> · Welfarist Moral Grounding for Transparent Artificial Intelligence<br/> · Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain<br/> </td> <td width="33%"> · On (assessing) the fairness of risk score models<br/> · Runtime Monitoring of Dynamic Fairness Properties<br/> · The Misuse of AUC: What High Impact Risk Assessment Gets Wrong<br/> · On the Richness of Calibration<br/> · Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s28'>Paper session 28: Multiplicity</a></th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"> · Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy<br/> · Reconciling Individual Probability Forecasts<br/> · The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions<br/> · Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints<br/> · Arbitrary Decisions are a Hidden Cost of Differentially Private Training<br/> </td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">2:15pm - 2:30pm</th> <th scope="row">Break</th> </tr> <tr class="research"> <th scope="row" rowspan="2">2:30pm - 3:30pm</th> <th scope="row">Proceedings VII and CRAFT VIII</th> </tr> <tr class="research"> <td> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s29'>Paper session 29: Workplace</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s30'>Paper session 30: Power & resistance</a></th> <th scope="col" width="33%"><a href='/2023/acceptedpapers#s31'>Paper session 31: Fairness and diversity II</a></th> </tr> <tr> <td width="33%"><em>W196BC</em></td> <td width="33%"><em>W196A</em></td> <td width="33%"><em>W195</em></td> </tr> <tr> <td width="33%"> · It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them?<br/> · Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?<br/> · Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice<br/> · "We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers<br/> · Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs<br/> </td> <td width="33%"> · Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm<br/> · Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability<br/> · Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument<br/> · Trustworthy AI and the Logics of Intersectional Resistance<br/> · Power and Resistance in the Twitter Bias Discourse<br/> </td> <td width="33%"> · Achieving diversity in counterfactual explanations: a review and a discussion<br/> · Saliency Cards: A Framework to Characterize and Compare Saliency Methods<br/> · Robustness implies Fairness in Casual Algorithmic Recourse<br/> · Personalized Pricing with Group Fairness Constraint<br/> · We are adults and deserve control of our phones': Examining the risks and opportunities of a right to repair for mobile apps<br/> </td> </tr> </table> <table width="100%" class="sessioncontents"> <tr> <th scope="col" width="33%">CRAFT 24 (ends at 3:45pm)</th> <th scope="col" width="33%"></th> <th scope="col" width="33%"></th> </tr> <tr> <td width="33%"><em>W194B</em></td> <td width="33%"></td> <td width="33%"></td> </tr> <tr> <td width="33%"><a href='/2023/acceptedcraft#legal'>Legal Accountability in Europe — what litigation and regulatory action against big tech digital media platforms could mean for global tech</a></td> <td width="33%"></td> <td width="33%"></td> </tr> </table> </td> </tr> <tr class="food"> <th scope="row" rowspan="1">3:30pm - 4:00pm</th> <th scope="row">Break</th> </tr> <tr class="keynote"> <th scope="row" rowspan="2">4:00pm - 5:00pm</th> <th scope="row">Keynote VII: <a href='/2023/keynotes#chicago'>Trina Reynolds-Tyler and Tarak Shah - <em>The Community Built a Model: Using Participatory AI to Analyze Chicago Police Data</em></a></th> </tr> <tr class="keynote"> <td><em>W196BC</em></td> </tr> <tr class="plenary"> <th scope="row" rowspan="2">5:00pm - 6:00pm</th> <th scope="row">Town Hall</th> </tr> <tr class="plenary"> <td><em>W196BC</em></td> </tr> </table> </p> </div>  </div> </div> </div> <footer class="footer navbar-inverted"> <div class="container"> <div class="row"> <div class="col-lg-6"> Sponsored by: <img src="/static/images/acm_logo_tablet.svg" alt="Association of Computing Machinery"> </div> <div class="col-lg-6 text-right"> <p>CC-BY 2024 ACM FAccT Conference.</p> <p>Updated Fri, 15 Nov 2024 09:28:13 +0000.</p> </div> </div> </div> </footer> <script src="/static/js/vendor/jquery-1.10.1.js"></script> <script src="/static/js/vendor/bootstrap.min.js"></script> <script src="/static/js/main.js"></script> </body> </html>

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