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AIES 2023: Montréal, QC, Canada
- Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield, Alex John:
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023. ACM 2023
Keynote Talks
- Annette Zimmermann
:
The Generative AI Deployment Rush: How to Democratize the Politics of Pace. 1 - Jamie Morgenstern
Changing distributions and preferences in learning systems. 2 - Paola Ricaurte
AI for/by the majority world: From technologies of dispossession to technologies of radical care. 3-4
Contributed Papers
- Darren Cook
Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? 5-14 - Tunazzina Islam
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. 15-25 - Johanna Walker
AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact Checking. 26-37 - Michael Feffer
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. 38-48 - Saumik Narayanan
How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making? 49-57 - Atoosa Kasirzadeh
User Tampering in Reinforcement Learning Recommender Systems. 58-69 - Shalaleh Rismani
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. 70-83 - Thomas Krendl Gilbert
Reward Reports for Reinforcement Learning. 84-130 - William Seymour
A Systematic Review of Ethical Concerns with Voice Assistants. 131-145 - Julia Barnett
The Ethical Implications of Generative Audio Models: A Systematic Literature Review. 146-161 - Tyler Cook
Robust Artificial Moral Agents and Metanormativity. 162-169 - Ryosuke Ueda
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. 170-180 - Nathanael Jo
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. 181-192 - Jindi Zhang
Model Debiasing via Gradient-based Explanation on Representation. 193-204 - Sruthi Gorantla
Sampling Individually-Fair Rankings that are Always Group Fair. 205-216 - Alexandre Nanchen
Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores. 217-228 - Valeriia Cherepanova
A Deep Dive into Dataset Imbalance and Bias in Face Identification. 229-247 - Yilun Zhou
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. 248-258 - Ira Globus-Harris
Multicalibrated Regression for Downstream Fairness. 259-286 - Peter Henderson
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. 287-296 - Mackenzie Jorgensen
Not So Fair: The Impact of Presumably Fair Machine Learning Models. 297-311 - Eran Tal
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare. 312-321 - SJ Bennett
Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term Conditions. 322-332 - Ming-Ying Yang
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. 333-350 - Hubert Dariusz Zajac
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. 351-362 - Harry H. Jiang
AI Art and its Impact on Artists. 363-374 - Nathan Dennler
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. 375-386 - Pamela Robinson
Action Guidance and AI Alignment. 387-395 - Charlotte Bird
Typology of Risks of Generative Text-to-Image Models. 396-410 - Emanuele Albini
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. 411-431 - Ian Hardy
Adaptive Adversarial Training Does Not Increase Recourse Costs. 432-442 - Shubham Sharma
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. 443-453 - Carlos Mougan
Fairness Implications of Encoding Protected Categorical Attributes. 454-465 - Glen Berman
Machine Learning practices and infrastructures. 466-481 - Agathe Balayn
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. 482-495 - Anaelia Ovalle
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. 496-511 - Vincent J. Straub
A multidomain relational framework to guide institutional AI research and adoption. 512-519 - Keziah Naggita
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. 520-530 - Rachel Hong
Evaluation of targeted dataset collection on racial equity in face recognition. 531-541 - Shiva Omrani Sabbaghi
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. 542-553 - Pranav Narayanan Venkit
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. 554-565 - Tom Williams
No Justice, No Robots: From the Dispositions of Policing to an Abolitionist Robotics. 566-575 - Violet Turri
Why We Need to Know More: Exploring the State of AI Incident Documentation Practices. 576-583 - Shalaleh Rismani
What does it mean to be a responsible AI practitioner: An ontology of roles and skills. 584-595 - Shin-Shin Hua
Effective Enforceability of EU Competition Law Under AI Development Scenarios: a Framework for Anticipatory Governance. 596-605 - Christie Lawrence
The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies. 606-652 - Matteo Fabbri
Self-determination through explanation: an ethical perspective on the implementation of the transparency requirements for recommender systems set by the Digital Services Act of the European Union. 653-661 - Avi Schwarzschild
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. 662-678 - Avijit Ghosh
When Fair Classification Meets Noisy Protected Attributes. 679-690 - Elizabeth Edenberg
Disambiguating Algorithmic Bias: From Neutrality to Justice. 691-704 - Dafna Burema
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. 705-714 - Elizabeth Seger
Democratising AI: Multiple Meanings, Goals, and Methods. 715-722 - Renee Shelby
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. 723-741 - Jayanth Yetukuri
Towards User Guided Actionable Recourse. 742-751 - Przemyslaw A. Grabowicz
Learning from Discriminatory Training Data. 752-763 - Karan Bhanot
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. 764-774 - Guusje Juijn
Perceived Algorithmic Fairness using Organizational Justice Theory: An Empirical Case Study on Algorithmic Hiring. 775-785 - Ranjita Naik
Social Biases through the Text-to-Image Generation Lens. 786-808 - Junaid Ali
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. 809-833 - Philippe Lammerts
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. 834-844 - Spencer Rarrick
GATE: A Challenge Set for Gender-Ambiguous Translation Examples. 845-854 - Alan Chan
Reclaiming the Digital Commons: A Public Data Trust for Training Data. 855-868 - Katherine Maeve Collins
Human Uncertainty in Concept-Based AI Systems. 869-889 - Donal Khosrowi
Diffusing the Creator: Attributing Credit for Generative AI Outputs. 890-900 - Sourojit Ghosh
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. 901-912 - Charvi Rastogi
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. 913-926 - Harvineet Singh
Measures of Disparity and their Efficient Estimation. 927-938
Student Abstracts
- Saumik Narayanan
Exploring the Effect of AI Assistance on Human Ethical Decisions. 939-940 - Jess Parris Westbrook
Queering Futures: the design of an expanded mixed methods research framework integrating qualitative, quantitative, and practice-based modes. 941 - Valerie Chen
Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions. 942-944 - Daniel Affsprung
The ELIZA Defect: Constructing the Right Users for Generative AI. 945-946 - Emmie Hine
Governing Silicon Valley and Shenzhen: Assessing a New Era of Artificial Intelligence Governance in the US and China. 947-949 - Jinhwa Kim
Safety Issues in Conversational Systems. 950-951 - Bhargavi Ganesh
The Role of Governance in Bridging AI Responsibility Gaps: An interdisciplinary evaluation of emerging AI governance measures. 952-954 - Vishwali Mhasawade
Advancing Health Equity with Machine Learning. 955-956 - Kevin Bryson
Designing Interfaces to Elicit Data Issues for Data Workers. 957-958 - Chinasa T. Okolo
Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings. 959-961 - Chahat Raj
True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. 962-963 - Aidan Kierans
Benchmarked Ethics: A Roadmap to AI Alignment, Moral Knowledge, and Control. 964-965 - Olalekan Joseph Akintande
Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered. 966-971 - Jessica Woodgate
Ethical Principles for Reasoning about Value Preferences. 972-974 - Luca Nannini
Explainability in Process Mining: A Framework for Improved Decision-Making. 975-976 - Mubarak Hussain
Can AlphaGo be apt subjects for Praise/Blame for "Move 37"? 977-979 - Deborah Morgan
Anticipatory regulatory instruments for AI systems: A comparative study of regulatory sandbox schemes. 980-981 - Terkura Thomas Mchia
Examining the Ethics of Brain-Computer Interfaces: Ensuring Safety, the Rights and Dignity of Personhood. 982 - Behrad Taghibeyglou
How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solution. 983-984 - Nora Freya Lindemann
Sealed Knowledges: A Critical Approach to the Usage of LLMs as Search Engines. 985-986 - Charvi Rastogi
Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. 987-989 - Joshua Brand
Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal Banks. 990-992 - Anastasia Siapka
AI-driven Automation as a Pre-condition for Eudaimonia. 993-994 - Hetvi Jethwani
Multi Value Alignment: four steps for aligning ML/AI development choices with multiple values. 995 - Anna Marie Rezk
"Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisation. 996-998 - Anna Schmitz
Towards formalizing and assessing AI fairness. 999-1001 - Matteo Fabbri
How and to which extent will the provisions of the Digital Services Act of the European Union impact on the relationship between users and platforms as information providers? 1002-1003 - Pranav Narayanan Venkit
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens. 1004-1005 - Rachel Hong
Evaluation of targeted dataset collection on racial equity in face recognition. 1006-1007 - Jayanth Yetukuri
Individual and Group-level considerations of Actionable Recourse. 1008-1009 - Darren Cook
The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online Interactions. 1010-1012
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