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AIES 2020: New York, NY, USA
- Annette N. Markham, Julia Powles, Toby Walsh, Anne L. Washington
:
AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020. ACM 2020, ISBN 978-1-4503-7110-0
Keynote Talks
- Peter Dabrock:
How to Put the Data Subject's Sovereignty into Practice. Ethical Considerations and Governance Perspectives. 1-2 - Anita Gurumurthy:
The AI-development Connection - A View from the South. 3 - Charlton D. McIlwain:
Computerize the Race Problem?: Why We Must Plan for a Just AI Future. 4 - Gina Neff
From Bad Users and Failed Uses to Responsible Technologies: A Call to Expand the AI Ethics Toolkit. 5-6 - Frank Pasquale:
Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. 7
Paper Presentations
- Shahar Avin, Ross Gruetzemacher, James Fox
Exploring AI Futures Through Role Play. 8-14 - Haydn Belfield:
Activism by the AI Community: Analysing Recent Achievements and Future Prospects. 15-21 - William Cai, Johann Gaebler
Fair Allocation through Selective Information Acquisition. 22-28 - Stephen Cave
The Problem with Intelligence: Its Value-Laden History and the Future of AI. 29-35 - Subhro Das, Sebastian Steffen
Learning Occupational Task-Shares Dynamics for the Future of Work. 36-42 - Alan Davoust, Michael Rovatsos:
Social Contracts for Non-Cooperative Games. 43-49 - Olivia Johanna Erdélyi, Gábor Erdélyi:
The AI Liability Puzzle and a Fund-Based Work-Around. 50-56 - Sina Fazelpour
Algorithmic Fairness from a Non-ideal Perspective. 57-63 - Jongbin Jung, Ravi Shroff, Avi Feller, Sharad Goel:
Bayesian Sensitivity Analysis for Offline Policy Evaluation. 64-70 - Gunay Kazimzade, Milagros Miceli:
Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices. 71 - P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. 72-78 - Himabindu Lakkaraju, Osbert Bastani:
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations. 79-85 - Derek Leben
Normative Principles for Evaluating Fairness in Machine Learning. 86-92 - Joy Lu, Dokyun Lee, Tae Wan Kim, David Danks:
Good Explanation for Algorithmic Transparency. 93 - Fernando Martínez-Plumed
Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. 94-100 - Andreia Martinho, Maarten Kroesen, Caspar G. Chorus:
An Empirical Approach to Capture Moral Uncertainty in AI. 101 - Jeanna Neefe Matthews
When Trusted Black Boxes Don't Agree: Incentivizing Iterative Improvement and Accountability in Critical Software Systems. 102-108 - Melissa D. McCradden, Mjaye Mazwi, Shalmali Joshi, James A. Anderson:
When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning. 109 - Heidi A. McKee, James E. Porter:
Ethics for AI Writing: The Importance of Rhetorical Context. 110-116 - Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. 117-123 - Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. 124-130 - Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. 131 - Osonde A. Osoba:
Technocultural Pluralism: A "Clash of Civilizations" in Technology? 132-137 - Carina Prunkl
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. 138-143 - Rida Qadri:
Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta. 144 - Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. 145-151 - Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz:
Human Comprehension of Fairness in Machine Learning. 152 - Daniel Schiff
What's Next for AI Ethics, Policy, and Governance? A Global Overview. 153-158 - Zachary Schutzman:
Trade-offs in Fair Redistricting. 159-165 - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. 166-172 - Toby Shevlane, Allan Dafoe:
The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse? 173-179 - Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. 180-186 - Baobao Zhang, Allan Dafoe:
U.S. Public Opinion on the Governance of Artificial Intelligence. 187-193 - Yishan Zhou, David Danks:
Different "Intelligibility" for Different Folks. 194-199
Poster Presentations
- A. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens:
AI and Holistic Review: Informing Human Reading in College Admissions. 200-206 - Abeba Birhane, Jelle van Dijk
Robot Rights?: Let's Talk about Human Welfare Instead. 207-213 - Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong:
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. 214-220 - Violet (Xinying) Chen, John N. Hooker:
A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism. 221-227 - Peter Cihon, Matthijs M. Maas
Should Artificial Intelligence Governance be Centralised?: Design Lessons from History. 228-234 - Efrén Cruz Cortés, Debashis Ghosh:
An Invitation to System-wide Algorithmic Fairness. 235-241 - Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. 242 - Veljko Dubljevic
Toward Implementing the Agent-Deed-Consequence Model of Moral Judgment in Autonomous Vehicles. 243 - Chris Dulhanty, Alexander Wong:
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification. 244-250 - Arisa Ema, Katsue Nagakura, Takanori Fujita:
Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems. 251-257 - Pedro M. Fernandes
Adoption Dynamics and Societal Impact of AI Systems in Complex Networks. 258-264 - Gemma Galdon Clavell, Mariano Martín Zamorano, Carlos Castillo, Oliver Smith
Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization. 265-271 - Natalie Garrett, Nathan Beard, Casey Fiesler:
More Than "If Time Allows": The Role of Ethics in AI Education. 272-278 - Yuzi He, Keith Burghardt, Kristina Lerman:
A Geometric Solution to Fair Representations. 279-285 - Jonathan Herington
Measuring Fairness in an Unfair World. 286-292 - Lingxiao Huang
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. 293-299 - Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh:
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'. 300-306 - Amba Kak:
"The Global South is everywhere, but also always somewhere": National Policy Narratives and AI Justice. 307-312 - Daniel Karpati, Amro Najjar, Diego Agustín Ambrossio:
Ethics of Food Recommender Applications. 313-319 - Suvradip Maitra:
Artificial Intelligence and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings. 320-326 - Cullen O'Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung, Allan Dafoe:
The Windfall Clause: Distributing the Benefits of AI for the Common Good. 327-331 - Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung:
Steps Towards Value-Aligned Systems. 332-336 - Desmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss:
Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing. 337-342 - Andi Peng, Malina Simard-Halm:
The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making. 343 - Rafael Poyiadzi, Kacper Sokol
FACE: Feasible and Actionable Counterfactual Explanations. 344-350 - Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Balancing the Tradeoff Between Clustering Value and Interpretability. 351-357 - Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney:
Data Augmentation for Discrimination Prevention and Bias Disambiguation. 358-364 - Eyal Shulman, Lior Wolf:
Meta Decision Trees for Explainable Recommendation Systems. 365-371 - Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning. 372-377 - Aaron D. Tucker, Markus Anderljung, Allan Dafoe:
Social and Governance Implications of Improved Data Efficiency. 378-384 - Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
Conservative Agency via Attainable Utility Preservation. 385-391 - Ava Thomas Wright:
A Deontic Logic for Programming Rightful Machines. 392 - Han Yu
A Fairness-aware Incentive Scheme for Federated Learning. 393-399 - Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney:
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach. 400-406 - Tongyu Zhou, Haoyu Sheng, Iris Howley:
Assessing Post-hoc Explainability of the BKT Algorithm. 407-413 - Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. 414-420 - Julian Zucker, Myraeka d'Leeuwen:
Arbiter: A Domain-Specific Language for Ethical Machine Learning. 421-425
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