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ORCIDAIES 2022: Oxford, UK
- Vincent Conitzer, John Tasioulas, Matthias Scheutz, Ryan Calo, Martina Mara, Annette Zimmermann:
AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19 - 21, 2021. ACM 2022, ISBN 978-1-4503-9247-1
Invited Talks
- Ronald C. Arkin:
Robots that Need to Mislead: Biologically-inspired Machine Deception. 1 - Abeba Birhane:
The Limits of Fairness. 2 - Karen Levy:
RoboTruckers: The Double Threat of AI for Low-Wage Work. 3 - Bertram F. Malle:
Beyond Fairness and Explanation: Foundations of Trustworthiness of Artificial Agents. 4 - Inioluwa Deborah Raji:
From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance. 5 - Shannon Vallor:
The AI Mirror: Reclaiming our Humanity in an Age of Machine Thinking. 6
Contributed Papers
- Hammaad Adam, Ming-Ying Yang, Kenrick Cato
, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi:
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. 7-21 - Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. 22-35 - Martin Damyanov Aleksandrov:
Dynamic Fleet Management and Household Feedback for Garbage Collection. 36-45 - Sreejith Balakrishnan, Jianxin Bi, Harold Soh:
SCALES: From Fairness Principles to Constrained Decision-Making. 46-55 - Julia Barnett, Nicholas Diakopoulos:
Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making. 56-67 - Rim Ben Salem, Esma Aïmeur, Hicham Hage:
Aegis: An Agent for Multi-party Privacy Preservation. 68-77 - Astrid Bertrand, Rafik Belloum, James R. Eagan, Winston Maxwell:
How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review. 78-91 - James Bessen, Stephen Michael Impink, Robert Seamans:
The Cost of Ethical AI Development for AI Startups. 92-106 - Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda:
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. 107-118 - Benjamin S. Bucknall, Shiri Dori-Hacohen:
Current and Near-Term AI as a Potential Existential Risk Factor. 119-129 - Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller:
Racial Disparities in the Enforcement of Marijuana Violations in the US. 130-143 - Kathleen Cachel, Elke A. Rundensteiner:
FINS Auditing Framework: Group Fairness for Subset Selections. 144-155 - Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji:
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. 156-170 - Ilaria Canavotto, John F. Horty:
Piecemeal Knowledge Acquisition for Computational Normative Reasoning. 171-180 - Mo Chen, Severin Engelmann, Jens Grossklags:
Ordinary People as Moral Heroes and Foes: Digital Role Model Narratives Propagate Social Norms in China's Social Credit System. 181-191 - Sam Clarke, Jess Whittlestone:
A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values. 192-202 - Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju:
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. 203-214 - Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne:
Counterfactual Explanations for Prediction and Diagnosis in XAI. 215-226 - Advait Deshpande, Helen Sharp:
Responsible AI Systems: Who are the Stakeholders? 227-236 - Eleanor Drage, Kerry Mackereth:
Does AI De-Bias Recruitment?: Race, Gender, and AI's 'Eradication of Differences Between Groups'. 237 - Severin Engelmann, Valentin Scheibe, Fiorella Battaglia, Jens Grossklags:
Social Media Profiling Continues to Partake in the Development of Formalistic Self-Concepts. Social Media Users Think So, Too. 238-252 - Charles Evans, Claire Benn, Ignacio Ojea Quintana, Pamela Robinson, Sylvie Thiébaux:
Stochastic Policies in Morally Constrained (C-)SSPs. 253-264 - Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness:
An Ontology for Fairness Metrics. 265-275 - Matija Franklin, Hal Ashton, Edmond Awad, David A. Lagnado:
Causal Framework of Artificial Autonomous Agent Responsibility. 276-284 - Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério Abreu de Paula, Subhro Das:
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. 285-294 - Meric Altug Gemalmaz, Ming Yin:
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems. 295-306 - Avijit Ghosh, Aalok Shanbhag, Christo Wilson:
FairCanary: Rapid Continuous Explainable Fairness. 307-316 - Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Learning Fairer Interventions. 317-323 - Paula Helm, Loizos Michael, Laura Schelenz:
Diversity by Design?: Balancing the Inclusion and Protection of Users in an Online Social Platform. 324-334 - Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan:
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning. 335-348 - Atoosa Kasirzadeh:
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. 349-356 - I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson:
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. 357-368 - Manisha Kusuma, Vikram Mohanty, Marx Wang, Kurt Luther:
Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application. 369-384 - Max Langenkamp, Daniel N. Yue:
How Open Source Machine Learning Software Shapes AI. 385-395 - Nianyun Li, Naman Goel, Elliott Ash:
Data-Centric Factors in Algorithmic Fairness. 396-410 - Zhuoyan Li, Zhuoran Lu, Ming Yin:
Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations. 411-423 - David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad:
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. 424-435 - Yuxin Liu, Adam Moore, Jamie Webb, Shannon Vallor:
Artificial Moral Advisors: A New Perspective from Moral Psychology. 436-445 - Chiara Longoni, Luca Cian, Ellie Kyung:
Artificial Intelligence in the Government: Responses to Failures and Social Impact. 446 - Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Making Human-Like Moral Decisions. 447-454 - Yiwei Lyu, Paul Pu Liang, Zihao Deng, Ruslan Salakhutdinov, Louis-Philippe Morency:
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations. 455-467 - Marta Marchiori Manerba, Riccardo Guidotti:
Investigating Debiasing Effects on Classification and Explainability. 468-478 - Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson:
Mimetic Models: Ethical Implications of AI that Acts Like You. 479-490 - Eleanor Mill, Wolfgang Garn, Nick F. Ryman-Tubb:
Managing Sustainability Tensions in Artificial Intelligence: Insights from Paradox Theory. 491-498 - Ece Çigdem Mutlu, Niloofar Yousefi, Özlem Özmen Garibay:
Contrastive Counterfactual Fairness in Algorithmic Decision-Making. 499-507 - Saumik Narayanan, Guanghui Yu, Wei Tang, Chien-Ju Ho, Ming Yin:
How Does Predictive Information Affect Human Ethical Preferences? 508-517 - Shiva Omrani Sabbaghi, Aylin Caliskan:
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals. 518-531 - Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar:
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok. 532-546 - Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
A Dynamic Decision-Making Framework Promoting Long-Term Fairness. 547-556 - Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel E. Ho:
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance. 557-571 - Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich:
Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit. 572-587 - Jake Robertson, Catherine Stinson, Ting Hu:
A Bio-Inspired Framework for Machine Bias Interpretation. 588-598 - Aditya Saini, Ranjitha Prasad:
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability. 599-608 - Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Aaron Rieke, Alan Mislove:
Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences. 609-616 - Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing:
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. 617-626 - Hendrik R. Schopmans:
From Coded Bias to Existential Threat: Expert Frames and the Epistemic Politics of AI Governance. 627-640 - William Seymour, Max Van Kleek, Reuben Binns, Dave Murray-Rust:
Respect as a Lens for the Design of AI Systems. 641-652 - Colin Shea-Blymyer, Houssam Abbas:
Generating Deontic Obligations From Utility-Maximizing Systems. 653-663 - Hajime Shimao, Warut Khern-am-nuai, Karthik N. Kannan, Maxime C. Cohen:
Strategic Best Response Fairness in Fair Machine Learning. 664 - Anastasia Siapka:
Towards a Feminist Metaethics of AI. 665-674 - Andrea Simonetto, Ivano Notarnicola:
Achievement and Fragility of Long-term Equitability. 675-685 - Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju:
Towards Robust Off-Policy Evaluation via Human Inputs. 686-699 - Erick Skorupa Parolin, Seyyed MohammadSaleh Hosseini, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain. 700-711 - Emily Sullivan, Philippe Verreault-Julien:
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse. 712-722 - Xin Tong, Yixuan Li, Jiayi Li, Rongqi Bei, Luyao Zhang:
What are People Talking about in #BackLivesMatter and #StopAsianHate?: Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model. 723-738 - Stelios Triantafyllou, Adish Singla, Goran Radanovic:
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. 739-752 - Charlotte Franziska Unruh, Charlotte Haid, Johannes Fottner, Tim Büthe:
Human Autonomy in Algorithmic Management. 753-762 - Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou:
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. 763-777 - Charles Wan, Rodrigo Belo, Leid Zejnilovic:
Explainability's Gain is Optimality's Loss?: How Explanations Bias Decision-making. 778-787 - Amy A. Winecoff, Elizabeth Anne Watkins:
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups. 788-799 - Robert Wolfe, Aylin Caliskan:
American == White in Multimodal Language-and-Image AI. 800-812 - Yu Yang, Aayush Gupta, Jianwei Feng, Prateek Singhal, Vivek Yadav, Yue Wu, Pradeep Natarajan, Varsha Hedau, Jungseock Joo:
Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. 813-822 - Rui-Jie Yew, Dylan Hadfield-Menell:
A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems. 823-830 - William Yik, Limnanthes Serafini, Timothy Lindsey, George D. Montañez:
Identifying Bias in Data Using Two-Distribution Hypothesis Tests. 831-844 - Xiao Zhan, Stefan Sarkadi, Natalia Criado, Jose M. Such:
A Model for Governing Information Sharing in Smart Assistants. 845-855 - Baobao Zhang:
No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences. 856-866 - Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki:
Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. 867-879 - Miri Zilka, Holli Sargeant, Adrian Weller:
Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study. 880-889
Student Paper Abstracts
- Jack Bandy:
Inspecting Algorithmic Flows: Ethics, Transparency, and Accountability for Digital Mass Communication Platforms. 890 - Allison Macey Banzon:
Considering Context as it Relates to Student Agency Conditions in Intelligent Game-Based Learning Environments. 891 - Marina Budic:
AI and Us: Ethical Concerns, Public Knowledge and Public Attitudes on Artificial Intelligence. 892 - Melissa Chapman:
Governing AI Applications To Monitoring and Managing Our Global Environmental Commons. 893 - Pei-Yu Chen:
AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents. 894 - Savvina Daniil:
Ethical Recommenders in the Public Library Sector. 895 - Arianna Dini:
Exploitation and Algorithmic Pricing: Regressive Distributive Outcomes in Consumer-to-Business Transactions. 896 - John Dorsch:
Hijacking Epistemic Agency: How Emerging Technologies Threaten our Wellbeing as Knowers. 897 - Soumia Zohra El Mestari:
Privacy Preserving Machine Learning Systems. 898 - Hubert Etienne:
Computational Philosophy. 899 - Nadine Andrea Felber:
How to Design Smart Homes for Older Persons: The Somatic Capability Assessment as an Answer to Current Design Challenges. 900 - María Carolina Jiménez:
The Opacity of Automated Decision-Making Systems (ADMS) and its Challenges for Political Legitimacy in a Democracy. 901 - Kausik Lakkaraju:
Why is my System Biased?: Rating of AI Systems through a Causal Lens. 902 - Rohit Madan:
Artificial Intelligence Diffusion in Public Administration. 903 - Dimitris Michailidis:
Socially-Aware Artificial Intelligence for Fair Mobility. 904 - Jana Misic:
The Danger of Citizen Domination through Algorithmic Decision-Making in the Public Sector. 905 - Meshandren Naidoo:
AI and Legal Personhood: An African Perspective. 906 - Éric Pardoux:
Ethical Design for AI in Medicine. 907 - Ángel Pavón Pérez:
Bias in Artificial Intelligence Models in Financial Services. 908 - Alexandra Prégent:
Emotion Recognition Technology: Re-Shaping Human Relationships. 909 - Paula Reyero Lobo:
Bias in Hate Speech and Toxicity Detection. 910 - Otto Sahlgren:
What's (Not) Ideal about Fair Machine Learning? 911 - Anuschka Schmitt:
Examining Trust in Conversational Systems: Conceptual and Empirical Findings on User Trust, Related Behavior, and System Trustworthiness. 912 - Jen Semler:
Artificial Quasi Moral Agency. 913 - Harvineet Singh:
Fair, Robust, and Data-Efficient Machine Learning in Healthcare. 914 - Lavanya Singh:
Automated Kantian Ethics. 915 - Laura State:
Constructing Meaningful Explanations: Logic-based Approaches. 916 - Ilse Verdiesen:
Comprehensive Human Oversight Framework to Ensure Accountability over Autonomous Weapon Systems. 917 - Yifan Xu:
Dialogue Explanation With Reasoning for AI. 918 - Emine Ozge Yildirim:
Preserving Our Mental Autonomy: Freedom of Thought in the Speech 4.0 Era. 919 - Shira Zilberstein:
Developing Artificial Intelligence for Good: Interdisciplinary Research Collaborations and the Making of Ethical AI. 920
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