| 2023 | "Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisation. Anna Marie Rezk |
| 2023 | "☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju |
| 2023 | A Deep Dive into Dataset Imbalance and Bias in Face Identification. Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein |
| 2023 | A Systematic Review of Ethical Concerns with Voice Assistants. William Seymour, Xiao Zhan, Mark Coté, Jose M. Such |
| 2023 | A multidomain relational framework to guide institutional AI research and adoption. Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright |
| 2023 | A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid |
| 2023 | AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact Checking. Johanna Walker, Gefion Thuermer, Julián Vicens, Elena Simperl |
| 2023 | AI Art and its Impact on Artists. Harry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru |
| 2023 | AI for/by the majority world: From technologies of dispossession to technologies of radical care. Paola Ricaurte |
| 2023 | AI-driven Automation as a Pre-condition for Eudaimonia. Anastasia Siapka |
| 2023 | Action Guidance and AI Alignment. Pamela Robinson |
| 2023 | Adaptive Adversarial Training Does Not Increase Recourse Costs. Ian Hardy, Jayanth Yetukuri, Yang Liu |
| 2023 | Advancing Health Equity with Machine Learning. Vishwali Mhasawade |
| 2023 | Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered. Olalekan Joseph Akintande |
| 2023 | Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. Tunazzina Islam, Ruqi Zhang, Dan Goldwasser |
| 2023 | Anticipatory regulatory instruments for AI systems: A comparative study of regulatory sandbox schemes. Deborah Morgan |
| 2023 | Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions. Valerie Chen |
| 2023 | Benchmarked Ethics: A Roadmap to AI Alignment, Moral Knowledge, and Control. Aidan Kierans |
| 2023 | Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh |
| 2023 | Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal |
| 2023 | Can AlphaGo be apt subjects for Praise/Blame for "Move 37"? Mubarak Hussain |
| 2023 | Changing distributions and preferences in learning systems. Jamie Morgenstern |
| 2023 | ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. Sourojit Ghosh, Aylin Caliskan |
| 2023 | Democratising AI: Multiple Meanings, Goals, and Methods. Elizabeth Seger, Aviv Ovadya, Divya Siddarth, Ben Garfinkel, Allan Dafoe |
| 2023 | Designing Interfaces to Elicit Data Issues for Data Workers. Kevin Bryson |
| 2023 | Diffusing the Creator: Attributing Credit for Generative AI Outputs. Donal Khosrowi, Finola Finn, Elinor Clark |
| 2023 | Disambiguating Algorithmic Bias: From Neutrality to Justice. Elizabeth Edenberg, Alexandra Wood |
| 2023 | Effective Enforceability of EU Competition Law Under AI Development Scenarios: a Framework for Anticipatory Governance. Shin-Shin Hua, Haydn Belfield |
| 2023 | Ethical Principles for Reasoning about Value Preferences. Jessica Woodgate |
| 2023 | Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan |
| 2023 | Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell |
| 2023 | Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi |
| 2023 | Evaluation of targeted dataset collection on racial equity in face recognition. Rachel Hong |
| 2023 | Evaluation of targeted dataset collection on racial equity in face recognition. Rachel Hong, Tadayoshi Kohno, Jamie Morgenstern |
| 2023 | Examining the Ethics of Brain-Computer Interfaces: Ensuring Safety, the Rights and Dignity of Personhood. Terkura Thomas Mchia |
| 2023 | Explainability in Process Mining: A Framework for Improved Decision-Making. Luca Nannini |
| 2023 | Exploring the Effect of AI Assistance on Human Ethical Decisions. Saumik Narayanan |
| 2023 | Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal Banks. Joshua Brand |
| 2023 | Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang |
| 2023 | Fairness Implications of Encoding Protected Categorical Attributes. Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab |
| 2023 | Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. Keziah Naggita, Julienne LaChance, Alice Xiang |
| 2023 | From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari |
| 2023 | GATE: A Challenge Set for Gender-Ambiguous Translation Examples. Spencer Rarrick, Ranjita Naik, Varun Mathur, Sundar Poudel, Vishal Chowdhary |
| 2023 | Governing Silicon Valley and Shenzhen: Assessing a New Era of Artificial Intelligence Governance in the US and China. Emmie Hine |
| 2023 | Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. Hubert Dariusz Zajac, Natalia Rozalia Avlona, Finn Kensing, Tariq Osman Andersen, Irina Shklovski |
| 2023 | 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? Matteo Fabbri |
| 2023 | How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang |
| 2023 | How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making? Saumik Narayanan, Guanghui Yu, Chien-Ju Ho, Ming Yin |
| 2023 | How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solution. Behrad Taghibeyglou |
| 2023 | Human Uncertainty in Concept-Based AI Systems. Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham |
| 2023 | Individual and Group-level considerations of Actionable Recourse. Jayanth Yetukuri |
| 2023 | Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. Charvi Rastogi |
| 2023 | Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. Yilun Zhou |
| 2023 | Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores. Alexandre Nanchen, Lakmal Meegahapola, William Droz, Daniel Gatica-Perez |
| 2023 | Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos |
| 2023 | Learning from Discriminatory Training Data. Przemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu |
| 2023 | Machine Learning practices and infrastructures. Glen Berman |
| 2023 | Measures of Disparity and their Efficient Estimation. Harvineet Singh, Rumi Chunara |
| 2023 | Mitigating Voter Attribute Bias for Fair Opinion Aggregation. Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2023 | Model Debiasing via Gradient-based Explanation on Representation. Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen |
| 2023 | Multi Value Alignment: four steps for aligning ML/AI development choices with multiple values. Hetvi Jethwani |
| 2023 | Multicalibrated Regression for Downstream Fairness. Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth |
| 2023 | Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings. Chinasa T. Okolo |
| 2023 | No Justice, No Robots: From the Dispositions of Policing to an Abolitionist Robotics. Tom Williams, Kerstin Sophie Haring |
| 2023 | Not So Fair: The Impact of Presumably Fair Machine Learning Models. Mackenzie Jorgensen, Hannah Richert, Elizabeth Black, Natalia Criado, Jose M. Such |
| 2023 | On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni |
| 2023 | Perceived Algorithmic Fairness using Organizational Justice Theory: An Empirical Case Study on Algorithmic Hiring. Guusje Juijn, Niya Stoimenova, João Reis, Dong Nguyen |
| 2023 | Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023 Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield, Alex John |
| 2023 | Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Simon Maskell |
| 2023 | Queering Futures: the design of an expanded mixed methods research framework integrating qualitative, quantitative, and practice-based modes. Jess Parris Westbrook |
| 2023 | REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso |
| 2023 | Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson |
| 2023 | Reclaiming the Digital Commons: A Public Data Trust for Training Data. Alan Chan, Herbie Bradley, Nitarshan Rajkumar |
| 2023 | Reward Reports for Reinforcement Learning. Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta |
| 2023 | Robust Artificial Moral Agents and Metanormativity. Tyler Cook |
| 2023 | Safety Issues in Conversational Systems. Jinhwa Kim |
| 2023 | Sampling Individually-Fair Rankings that are Always Group Fair. Sruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis |
| 2023 | Sealed Knowledges: A Critical Approach to the Usage of LLMs as Search Engines. Nora Freya Lindemann |
| 2023 | Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn |
| 2023 | 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. Matteo Fabbri |
| 2023 | Social Biases through the Text-to-Image Generation Lens. Ranjita Naik, Besmira Nushi |
| 2023 | Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk |
| 2023 | Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2023 | Supporting Human-AI Collaboration in Auditing LLMs with LLMs. Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi |
| 2023 | Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare. Eran Tal |
| 2023 | The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies. Christie Lawrence, Isaac Cui, Daniel E. Ho |
| 2023 | The ELIZA Defect: Constructing the Right Users for Generative AI. Daniel Affsprung |
| 2023 | The Ethical Implications of Generative Audio Models: A Systematic Literature Review. Julia Barnett |
| 2023 | The Generative AI Deployment Rush: How to Democratize the Politics of Pace. Annette Zimmermann |
| 2023 | The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online Interactions. Darren Cook |
| 2023 | The Role of Governance in Bridging AI Responsibility Gaps: An interdisciplinary evaluation of emerging AI governance measures. Bhargavi Ganesh |
| 2023 | Towards User Guided Actionable Recourse. Jayanth Yetukuri, Ian Hardy, Yang Liu |
| 2023 | Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens. Pranav Narayanan Venkit |
| 2023 | Towards formalizing and assessing AI fairness. Anna Schmitz |
| 2023 | True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu |
| 2023 | Typology of Risks of Generative Text-to-Image Models. Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh |
| 2023 | Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Kenneth Huang, Shomir Wilson |
| 2023 | Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term Conditions. SJ Bennett, Caroline Claisse, Ewa Luger, Abigail C. Durrant |
| 2023 | User Tampering in Reinforcement Learning Recommender Systems. Atoosa Kasirzadeh, Charles Evans |
| 2023 | What does it mean to be a responsible AI practitioner: An ontology of roles and skills. Shalaleh Rismani, AJung Moon |
| 2023 | When Fair Classification Meets Noisy Protected Attributes. Avijit Ghosh, Pablo Kvitca, Christo Wilson |
| 2023 | Why We Need to Know More: Exploring the State of AI Incident Documentation Practices. Violet Turri, Rachel Dzombak |