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AIES 2021: Virtual Event, USA
- Marion Fourcade, Benjamin Kuipers, Seth Lazar, Deirdre K. Mulligan:
AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021. ACM 2021, ISBN 978-1-4503-8473-5
Keynote Talk
- Arvind Narayanan:
The Ethics of Datasets: Moving Forward Requires Stepping Back. 1
Panel
- Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor:
Platform Power and AI: The Case of Content. 2
Paper Presentations
- Sebastian Benthall
, Jake Goldenfein
Artificial Intelligence and the Purpose of Social Systems. 3-12 - Rémy Chaput
A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical Behavior. 13-23 - Yan Chen, Christopher Mahoney, Isabella Grasso, Esma Wali, Abigail Matthews
Gender Bias and Under-Representation in Natural Language Processing Across Human Languages. 24-34 - Alex Chohlas-Wood
Blind Justice: Algorithmically Masking Race in Charging Decisions. 35-45 - A. Feder Cooper, Ellen Abrams, Na Na:
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research. 46-54 - Jessica Dai, Sina Fazelpour
Fair Machine Learning Under Partial Compliance. 55-65 - Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth
Minimax Group Fairness: Algorithms and Experiments. 66-76 - Joseph Donia, Jay Shaw:
Co-design and Ethical Artificial Intelligence for Health: Myths and Misconceptions. 77 - Severin Engelmann, Mo Chen
Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness. 78-88 - Benjamin Fish, Luke Stark:
Reflexive Design for Fairness and Other Human Values in Formal Models. 89-99 - Riccardo Fogliato, Alice Xiang
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. 100-111 - Bryce Goodman:
Hard Choices and Hard Limits in Artificial Intelligence. 112-121 - Wei Guo, Aylin Caliskan:
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. 122-133 - Aspen K. Hopkins, Serena Booth:
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development. 134-145 - Atoosa Kasirzadeh
Fairness and Data Protection Impact Assessments. 146-153 - Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. 154-165 - Lan Li, Tina Lassiter, Joohee Oh, Min Kyung Lee:
Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in Hiring. 166-176 - Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
Scaling Guarantees for Nearest Counterfactual Explanations. 177-187 - Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein:
Ethically Compliant Planning within Moral Communities. 188-198 - Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. 199-208 - Pamela Robinson:
Moral Disagreement and Artificial Intelligence. 209 - Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FairOD: Fairness-aware Outlier Detection. 210-220 - Hao Sheng, Keniel Yao, Sharad Goel:
Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. 221-230 - Reza Shokri
On the Privacy Risks of Model Explanations. 231-241 - Daniel Susser
Measuring Automated Influence: Between Empirical Evidence and Ethical Values. 242-253 - Nenad Tomasev, Kevin R. McKee
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. 254-265 - Kate Vredenburgh:
Alienation in the AI-Driven Workplace. 266
Student Track Abstracts
- Jessica de Jesus de Pinho Pinhal:
To Scale: The Universalist and Imperialist Narrative of Big Tech. 267-268 - Clàudia Figueras
Trustworthy AI for the People? 269-270 - Abbavaram Gowtham Reddy:
Causality in Neural Networks - An Extended Abstract. 271-272 - Deepa Muralidhar:
Examining Religion Bias in AI Text Generators. 273-274 - Markus Peschl:
Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization. 275-276 - Julian Posada
The Coloniality of Data Work in Latin America. 277-278 - Linda Przhedetsky
Designing Effective and Accessible Consumer Protections against Unfair Treatment in Markets where Automated Decision Making is used to Determine Access to Essential Services: A Case Study in Australia's Housing Market. 279-280
Poster Paper Presentations
- Mohamed Abdalla, Moustafa Abdalla:
The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity. 287-297 - Abubakar Abid, Maheen Farooqi, James Zou:
Persistent Anti-Muslim Bias in Large Language Models. 298-306 - Daniel E. Acuna, Lizhen Liang
Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? 307-315 - Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization. 316-326 - Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell:
Measuring Model Biases in the Absence of Ground Truth. 327-335 - Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
Accounting for Model Uncertainty in Algorithmic Discrimination. 336-345 - Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. 346-356 - Pinar Barlas
Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging. 357-367 - Solon Barocas
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. 368-378 - Clara Belitz
Automating Procedurally Fair Feature Selection in Machine Learning. 379-389 - Daniel Ben David, Yehezkel S. Resheff, Talia Tron:
Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. 390-400 - Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. 401-413 - Arpita Biswas
Ensuring Fairness under Prior Probability Shifts. 414-424 - Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian:
Envisioning Communities: A Participatory Approach Towards AI for Social Good. 425-436 - Patrick Butlin
AI Alignment and Human Reward. 437-445 - Clinton Castro, David O'Brien, Ben Schwan:
Fairness and Machine Fairness. 446 - Nicole Chi, Emma Lurie
Reconfiguring Diversity and Inclusion for AI Ethics. 447-457 - Alessandro Fabris
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. 458-468 - Christopher Flathmann
Modeling and Guiding the Creation of Ethical Human-AI Teams. 469-479 - Will Fleisher
What's Fair about Individual Fairness? 480-490 - Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. 491-501 - Paige Golden, David Danks:
Ethical Obligations to Provide Novelty. 502-508 - Alban Grastien, Claire Benn
Computing Plans that Signal Normative Compliance. 509-518 - Nancy L. Green:
An AI Ethics Course Highlighting Explicit Ethical Agents. 519-524 - Jakub Grzelak
The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and Misuses. 525-531 - Riccardo Guidotti, Anna Monreale:
Designing Shapelets for Interpretable Data-Agnostic Classification. 532-542 - Margot J. Hanley, Solon Barocas
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. 543-554 - Jacqueline Hannan
Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation. 555-565 - Hunter Scott Heidenreich, Jake Ryland Williams:
The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. 566-573 - Anne Henriksen, Simon Enni, Anja Bechmann
Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AI. 574-585 - Rashidul Islam, Shimei Pan, James R. Foulds:
Can We Obtain Fairness For Free? 586-596 - Seyyed Ahmad Javadi, Chris Norval
Monitoring AI Services for Misuse. 597-607 - Weijie Jiang
Towards Equity and Algorithmic Fairness in Student Grade Prediction. 608-617 - Atoosa Kasirzadeh
The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. 618-626 - Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff:
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries. 627-637 - Eugenia Kim, De'Aira Bryant, Deepak Srikanth, Ayanna M. Howard:
Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older Adults. 638-644 - Katya Klinova, Anton Korinek:
AI and Shared Prosperity. 645-651 - Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. 652-663 - Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. 664-673 - Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner:
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. 674-682 - Benjamin Cedric Larsen:
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized. 683-694 - Susan Leavy
Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. 695-703 - Michelle Seng Ah Lee, Jatinder Singh:
Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle. 704-714 - Min Kyung Lee, Ishan Nigam, Angie Zhang, Joel Afriyie, Zhizhen Qin, Sicun Gao:
Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models. 715-726 - Dominic Leggett:
Feeding the Beast: Superintelligence, Corporate Capitalism and the End of Humanity. 727-735 - Claire R. Leibowicz
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. 736-744 - David Liu, Zohair Shafi, William Fleisher
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. 745-755 - Michele Loi, Anders Herlitz, Hoda Heidari:
Fair Equality of Chances for Prediction-based Decisions. 756 - Michele Loi
Towards Accountability in the Use of Artificial Intelligence for Public Administrations. 757-766 - Carmen Mazijn
How Do the Score Distributions of Subpopulations Influence Fairness Notions? 767-776 - Siddharth Mehrotra
More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction. 777-783 - Vishwali Mhasawade
Causal Multi-level Fairness. 784-794 - Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos:
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. 795-806 - Aileen Nielsen:
Measuring Lay Reactions to Personal Data Markets. 807-813 - Maurice Pagnucco, David Rajaratnam
Epistemic Reasoning for Machine Ethics with Situation Calculus. 814-821 - Akshat Pandey, Aylin Caliskan:
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms. 822-833 - Joon Sung Park, Michael S. Bernstein
Understanding the Representation and Representativeness of Age in AI Data Sets. 834-842 - Elija Perrier:
Quantum Fair Machine Learning. 843-853 - Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau:
Fair Bayesian Optimization. 854-863 - Julian Posada
We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI. 864-872 - Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel:
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. 873-883 - Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. 884-894 - Daniella Raz, Corinne Bintz, Vivian Guetler
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. 895-904 - Laura Schelenz, Ivano Bison
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. 905-915 - Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. 916-925 - Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. 926-935 - Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya:
Rawlsian Fair Adaptation of Deep Learning Classifiers. 936-945 - Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh:
FaiR-N: Fair and Robust Neural Networks for Structured Data. 946-955 - Joshua Simons, Sophia Adams Bhatti, Adrian Weller:
Machine Learning and the Meaning of Equal Treatment. 956-966 - Marija Slavkovik, Clemens Stachl
Digital Voodoo Dolls. 967-977 - David Solans
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. 978-988 - Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. 989-999 - Chris Waites, Rachel Cummings:
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation. 1000-1009 - Elizabeth Anne Watkins
Governing Algorithmic Systems with Impact Assessments: Six Observations. 1010-1022 - Mohammad Yaghini, Andreas Krause, Hoda Heidari:
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. 1023-1033 - Gal Yona, Amirata Ghorbani, James Zou:
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. 1034-1041 - Yue Zhang, David DeFazio, Arti Ramesh:
RelEx: A Model-Agnostic Relational Model Explainer. 1042-1049 - Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz:
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences. 1050-1059
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