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FAccT 2023: Chicago, IL, USA
- Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023, Chicago, IL, USA, June 12-15, 2023. ACM 2023
- Chacha Chen
, Shi Feng
Machine Explanations and Human Understanding. 1 - Ajay Divakaran
Broadening AI Ethics Narratives: An Indic Art View. 2-11 - Joyce Zhou
How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making. 12-21 - Konrad Kollnig
'We are adults and deserve control of our phones': Examining the risks and opportunities of a right to repair for mobile apps. 22-34 - Bilel Benbouzid
Fairness in machine learning from the perspective of sociology of statistics: How machine learning is becoming scientific by turning its back on metrological realism. 35-43 - Jakob Mainz
Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans. 44-49 - Benjamin Laufer
Optimization's Neglected Normative Commitments. 50-63 - Devesh Narayanan
Welfarist Moral Grounding for Transparent AI. 64-76 - Sunnie S. Y. Kim
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. 77-88 - Arjun Roy
Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview. 89-100 - Aaron Roth
Reconciling Individual Probability Forecasts✱. 101-110 - Irene Solaiman
The Gradient of Generative AI Release: Methods and Considerations. 111-122 - Yuxin Xiao
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. 123-137 - Bishwamittra Ghosh
"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. 138-148 - Zichong Wang
Preventing Discriminatory Decision-making in Evolving Data Streams. 149-159 - Ali Akbar Septiandri
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT? 160-171 - Bran Knowles
Trustworthy AI and the Logics of Intersectional Resistance. 172-182 - Nandana Sengupta
In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India. 183-192 - Anna P. Meyer
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions. 193-204 - Vinitha Gadiraju
"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. 205-216 - Sanna J. Ali
Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs. 217-226 - José Pablo Lapostol Piderit
Algorithmic Transparency from the South: Examining the state of algorithmic transparency in Chile's public administration algorithms. 227-235 - Gabriel Lima
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm. 236-246 - Alon Jacovi
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. 247 - Nicolas Scharowski
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study. 248-260 - Will Hawkins
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices. 261-270 - Borhane Blili-Hamelin
Making Intelligence: Ethical Values in IQ and ML Benchmarks. 271-284 - Angie W. Boggust
Saliency Cards: A Framework to Characterize and Compare Saliency Methods. 285-296 - Jamelle Watson-Daniels
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. 297-311 - Dasha Pruss
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument. 312-323 - Jenny L. Davis
'Affordances' for Machine Learning. 324-332 - Tim Miller
Explainable AI is Dead, Long Live Explainable AI!: Hypothesis-driven Decision Support using Evaluative AI. 333-342 - Giada Pistilli
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML. 343-354 - Samuel James Bell
Simplicity Bias Leads to Amplified Performance Disparities. 355-369 - Laura Cabello
On the Independence of Association Bias and Empirical Fairness in Language Models. 370-378 - Robin N. Brewer
Envisioning Equitable Speech Technologies for Black Older Adults. 379-388 - Andrew Estornell
Group-Fair Classification with Strategic Agents. 389-399 - Andrew Bell
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. 400-422 - José M. Álvarez
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness. 423-433 - Amélie Marian
Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery. 434-443 - Florian Eyert
Rethinking Transparency as a Communicative Constellation. 444-454 - Edward B. Kang
On the Praxes and Politics of AI Speech Emotion Recognition. 455-466 - David Gray Widder
It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them? 467-479 - Terrence Neumann
Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online? 480-490 - Bogdana Rakova
Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits. 491 - Jennifer King
The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government. 492-505 - Rida Qadri
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. 506-517 - Aram Grigoryan
A Theory of Auditability for Allocation and Social Choice Mechanisms. 518 - A. Stevie Bergman
Representation in AI Evaluations. 519-533 - Matt Franchi
Detecting disparities in police deployments using dashcam data. 534-544 - Han Zhang
Delayed and Indirect Impacts of Link Recommendations. 545-557 - Anna-Lena Theus
Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable and Just Algorithmic System Design. 558-568 - Shreya Chowdhary
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? 569-582 - Lameck Mbangula Amugongo
Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care. 583-592 - Stephen Tze-Inn Wu
Honor Ethics: The Challenge of Globalizing Value Alignment in AI. 593-602 - Paola Lopez
Power and Resistance in the Twitter Bias Discourse. 603 - Thomas A. Henzinger
Runtime Monitoring of Dynamic Fairness Properties. 604-614 - Maciej Krzysztof Zuziak
Data Collaboratives with the Use of Decentralised Learning. 615-625 - Angelina Wang
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. 626 - John Rudnik
Care and Coordination in Algorithmic Systems: An Economies of Worth Approach. 627-638 - Anna Ma
You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI. 639-650 - Alan Chan
Harms from Increasingly Agentic Algorithmic Systems. 651-666 - Lingwei Cheng
How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved. 667-686 - Seth Lazar
On the Site of Predictive Justice. 687 - Luke Guerdan
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. 688-704 - Wesley Hanwen Deng
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. 705-716 - Aditya Karan
Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets. 717-735 - Brianna Richardson
Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness. 736-752 - Daman Deep Singh
FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms. 753-763 - Henrietta Lyons
Algorithmic Decisions, Desire for Control, and the Preference for Human Review over Algorithmic Review. 764-774 - Xudong Shen
Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending. 775-791 - Marissa Radensky
"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems. 792-804 - Hilde J. P. Weerts
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree. 805-816 - Eike Petersen
On (assessing) the fairness of risk score models. 817-829 - Tim De Jonge
UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity. 830-839 - Ana Valdivia
Datafication Genealogies beyond Algorithmic Fairness: Making Up Racialised Subjects. 840-850 - MaryBeth Defrance
Maximal fairness. 851-880 - Orestis Papakyriakopoulos
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. 881-904 - Delaram Golpayegani
To Be High-Risk, or Not To Be - Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards. 905-915 - Alexander Peysakhovich
Implementing Fairness Constraints in Markets Using Taxes and Subsidies. 916-930 - Drew Hemment
AI in the Public Eye: Investigating Public AI Literacy Through AI Art. 931-942 - Astrid Bertrand
Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making. 943-958 - Timothée Schmude
On the Impact of Explanations on Understanding of Algorithmic Decision-Making. 959-970 - Andrés Domínguez Hernández
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda. 971 - Sonja Mei Wang
"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers. 972-983 - Ahmad-Reza Ehyaei
Robustness Implies Fairness in Causal Algorithmic Recourse. 984-1001 - Joachim Baumann
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. 1002-1013 - Andrea Aler Tubella
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness. 1014-1025 - Felicia S. Jing
Towards Labor Transparency in Situated Computational Systems Impact Research. 1026-1037 - Mohsen Abbasi
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. 1038-1048 - Alina Leidinger
Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion? 1049-1061 - Ulla Petti
Ethical considerations in the early detection of Alzheimer's disease using speech and AI. 1062-1075 - Michal Luria
Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes. 1076-1087 - Juniper L. Lovato
More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies. 1088-1100 - Morgan Currie
Emotions and Dynamic Assemblages: A Study of Automated Social Security Using Qualitative Longitudinal Research. 1101-1111 - Philipp Hacker
Regulating ChatGPT and other Large Generative AI Models. 1112-1123 - Benedikt Höltgen
On the Richness of Calibration. 1124-1138 - Cecilia Panigutti
The role of explainable AI in the context of the AI Act. 1139-1150 - Hanlin Li
The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers. 1151-1161 - Lara Groves
Going public: the role of public participation approaches in commercial AI labs. 1162-1173 - Robert Wolfe
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. 1174-1185 - Jennifer Cobbe
Understanding accountability in algorithmic supply chains. 1186-1197 - Luca Nannini
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. 1198-1212 - Joaquin Quiñonero Candela
Disentangling and Operationalizing AI Fairness at LinkedIn. 1213-1228 - Alessandra Calvi
Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective. 1229-1245 - Anaelia Ovalle
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. 1246-1266 - Laura Lucaj
AI Regulation Is (not) All You Need. 1267-1279 - Jacob Thebault-Spieker
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation. 1280-1291 - Marissa Gerchick
The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. 1292-1310 - Leah Hope Ajmani
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research. 1311-1323 - Amina A. Abdu
An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature. 1324-1333 - Evani Radiya-Dixit
A Sociotechnical Audit: Assessing Police Use of Facial Recognition. 1334-1346 - Kathleen Cachel
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation. 1347-1357 - Faisal Hamman
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity. 1358-1368 - Vivian Lai
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. 1369-1385 - Nathalie DiBerardino
(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education. 1386-1395 - Jee Young Kim
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. 1396-1417 - Chris Norval
Navigating the Audit Landscape: A Framework for Developing Transparent and Auditable XR. 1418-1431 - David Liu
Group fairness without demographics using social networks. 1432-1449 - Jacob Metcalf
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. 1450-1462 - Hellina Hailu Nigatu
Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain. 1463-1478 - Anjalie Field
Examining risks of racial biases in NLP tools for child protective services. 1479-1492 - Federico Bianchi
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. 1493-1504 - Melissa D. McCradden
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB. 1505-1519 - Xin Chen
Personalized Pricing with Group Fairness Constraint. 1520-1530 - Rock Yuren Pang
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. 1531-1552 - Miri Zilka
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. 1553-1569 - Kweku Kwegyir-Aggrey
The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. 1570-1583 - Luke Guerdan
Counterfactual Prediction Under Outcome Measurement Error. 1584-1598 - Raphael Poulain
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. 1599-1608 - Bogdan Kulynych
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. 1609-1623 - Eric Corbett
Interrogating the T in FAccT. 1624-1634 - Ashkan Bashardoust
Reducing Access Disparities in Networks using Edge Augmentation✱. 1635-1651 - Jessie J. Smith
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. 1652-1663 - Joshua Gardner
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. 1664-1684 - Hilson Shrestha
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking. 1685-1698 - Katelyn Mei
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks. 1699-1710 - Princess Sampson
Representation, Self-Determination, and Refusal: Queer People's Experiences with Targeted Advertising. 1711-1722 - Markelle Kelly
Capturing Humans' Mental Models of AI: An Item Response Theory Approach. 1723-1734 - Pedro Silva
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems. 1735-1746 - David Bruns-Smith
Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks. 1747-1756 - Teanna Barrett
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets. 1757-1771 - Varun Nagaraj Rao
Discrimination through Image Selection by Job Advertisers on Facebook. 1772-1788 - Prakhar Ganesh
On The Impact of Machine Learning Randomness on Group Fairness. 1789-1800 - Cyrus DiCiccio
Detection and Mitigation of Algorithmic Bias via Predictive Parity. 1801-1816 - Jingyi Yang
Fairness Auditing in Urban Decisions using LP-based Data Combination. 1817-1825 - Yuxi Wu
The Slow Violence of Surveillance Capitalism: How Online Behavioral Advertising Harms People. 1826-1837 - Gabriel Grill
Bias as Boundary Object: Unpacking The Politics Of An Austerity Algorithm Using Bias Frameworks. 1838-1849 - Reuben Binns
Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination. 1850-1858 - Thibault Laugel
Achieving Diversity in Counterfactual Explanations: a Review and Discussion. 1859-1869 - Michael Saxon
Disparities in Text-to-Image Model Concept Possession Across Languages. 1870 - Katja Andric
Reconciling Governmental Use of Online Targeting With Democracy. 1871-1881 - Organizers Of QueerInAI
Queer In AI: A Case Study in Community-Led Participatory AI. 1882-1895
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