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AAAI/ACM Conference on AI, Ethics, and Society

AIES

C

CORE rank

CORE rank (raw)

C

Fields of research

Human-Centred Computing · Artificial Intelligence · Machine Learning

Papers indexed

1,025

2018–2025

Papers per year

2018279 peak2025

AIES papers

1,025 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2022Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics.Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji
2022FINS Auditing Framework: Group Fairness for Subset Selections.Kathleen Cachel, Elke A. Rundensteiner
2022Racial Disparities in the Enforcement of Marijuana Violations in the US.Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller
2022AI and Us: Ethical Concerns, Public Knowledge and Public Attitudes on Artificial Intelligence.Marina Budic
2022Current and Near-Term AI as a Potential Existential Risk Factor.Benjamin S. Bucknall, Shiri Dori-Hacohen
2022The Limits of Fairness.Abeba Birhane
2022The Cost of Ethical AI Development for AI Startups.James Bessen, Stephen Michael Impink, Robert C. Seamans
2022How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review.Astrid Bertrand, Rafik Belloum, James R. Eagan, Winston Maxwell
2022Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making.Julia Barnett, Nicholas Diakopoulos
2022Considering Context as it Relates to Student Agency Conditions in Intelligent Game-Based Learning Environments.Allison Macey Banzon
2022Inspecting Algorithmic Flows: Ethics, Transparency, and Accountability for Digital Mass Communication Platforms.Jack Bandy
2022SCALES: From Fairness Principles to Constrained Decision-Making.Sreejith Balakrishnan, Jianxin Bi, Harold Soh
2022Robots that Need to Mislead: Biologically-inspired Machine Deception.Ronald C. Arkin
2022Dynamic Fleet Management and Household Feedback for Garbage Collection.Martin Damyanov Aleksandrov
2022Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
2021Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences.Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz
2021RelEx: A Model-Agnostic Relational Model Explainer.Yue Zhang, David DeFazio, Arti Ramesh
2021Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data.Gal Yona, Amirata Ghorbani, James Zou
2021A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.Mohammad Yaghini, Andreas Krause, Hoda Heidari
2021Governing Algorithmic Systems with Impact Assessments: Six Observations.Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish
2021Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation.Chris Waites, Rachel Cummings
2021Alienation in the AI-Driven Workplace.Kate Vredenburgh
2021Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities.Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
2021Measuring Automated Influence: Between Empirical Evidence and Ethical Values.Daniel Susser, Vincent Grimaldi
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