9:30-10:15
10:15-10:30
Q&A
10:30-10:45
Short break
10:45-11:45
Lightning talk session 3
Respect as a Lens for the Design of AI Systems
William Seymour, Max Van Kleek, Reuben Binns and Dave Murray-Rust
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg and Daniel Ho
A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Rui-Jie Yew and Dylan Hadfield-Menell
A Bio-Inspired Framework for Machine Bias Interpretation
Jake Robertson, Catherine Stinson and Ting Hu
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy
Atoosa Kasirzadeh
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes
Stelios Triantafyllou, Adish Singla and Goran Radanovic
Human Autonomy in Algorithmic Management
Charlotte Unruh, Charlotte Haid, Fottner Johannes and Tim Büthe
A Survey of the Potential Long-term Impacts of AI
Sam Clarke and Jess Whittlestone
Current and Near-Term AI as a Potential Existential Risk Factor
Benjamin Bucknall and Shiri Dori-Hacohen
Responsible AI systems: Who are the stakeholders?
Advait Deshpande and Helen Sharp
Identifying Bias in Data Using Two-Distribution Hypothesis Tests
William Yik, Limnanthes Serafini, Timothy Lindsey and George Montanez
Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study
Miri Zilka, Holli Sargeant and Adrian Weller
Achievement and Fragility of Long-term Equitability
Andrea Simonetto and Ivano Notarnicola
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
Amy Winecoff and Elizabeth Watkins
Data-Centric Factors in Algorithmic Fairness
Nianyun Li, Naman Goel and Elliott Ash
11:45-12:00
Short Break
12:00-12:45
Beyond Fairness and Explanation: Foundations of Trustworthiness of Artificial Agents
Invited talk: Bertram Malle, Brown University
12:45-1:00
Q&A
1:00-3:00
Lunch break/online posters
A Dynamic Decision-Making Framework Promoting Long-Term Fairness
Bhagyashree Puranik
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu
Understanding Decision Subjects’ Fairness Perceptions and Retention in repeated Interactions with AI-Based Decision Systems
Meric Altug Gemalmaz
An Ontology for Fairness Metrics
Jade Franklin
Piecemeal knowledge acquisition for computational normative reasoning
Ilaria Canavotto
Dynamic Fleet Management and Household Feedback for Garbage Collection
Martin Aleksandrov
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics
Maysa Macedo
No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences
Baobao Zhang
Mimetic Models: Ethical Implications of AI that Acts Like You
Solon Barocas
Contrastive Counterfactual Fairness in Algorithmic Decision-Making
Ece Mutlu
From Coded Bias to Existential Threat: Expert Frames and the Epistemic Politics of AI Governance
Hendrik Schopmans
Developing Artificial Intelligence for Good: Interdisciplinary research collaborations and the making of ethical AI
Shira Zilberstein
Auditing for Diversity using Representative Examples
Vijay Keswani
Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit
Alene Rhea, Kelsey Markey, Lauren D’Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires and Julia Stoyanovich.
What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model
Luyao Zhang
Computational Philosophy
Hubert Etienne
Fair, Robust, and Data-Efficient Machine Learning in Healthcare
Harvineet Singh
Diversity by Design. Balancing the Protection and Inclusion of Users on Online Social Platforms
Paula Helm
The danger of citizen domination through algorithmic decision-making in the public sector
Jana Misic
Evaluating AI-based Public Policies with Social Simulation
Jackob Gutmann
Causal Framework of Artificial Autonomous Agent Responsibility
Matija Franklin
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability
Aditya Saini
Why is my system biased? : Rating of AI Systems through a Causal Lens
Kausik Lakkaraju
FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh
An Ontology for Fairness Metrics
Jade Franklin
American==White in Multimodal Language-and-Image AI
Robert Wolfe
3:00-4:00
Lightning talk session 4
Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Solon Barocas and Ashton Anderson
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals
Shiva Omrani Sabbaghi and Aylin Caliskan
Generating Deontic Obligations From Utility-Maximizing Systems
Colin Shea-Blymyer and Houssam Abbas
Stochastic Policies in Morally Constrained (C-)SSPs
Charles Evans, Claire Benn, Ignacio Ojea Quintana, Pamela Robinson and Sylvie Thiebaux
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman and Arvind Narayanan
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan, Jianxin Bi and Harold Soh
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Emily Sullivan and Philippe Verreault-Julien
Investigating Debiasing Effects on Classification and Explainability
Marta Marchiori Manerba and Riccardo Guidotti
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
I. Elizabeth Kumar, Keegan Hines and John P. Dickerson
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
Orestis Papakyriakopoulos, Mihir Kshirsagar, Christelle Tessono and Arvind Narayanan
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
David Liu, Priyanka Nanayakkara, Sarah Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica Hullman and Tina Eliassi-Rad
Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding
Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro and Einoshin Suzuki
How Open Source Machine Learning Shapes AI
Max Langenkamp and Daniel Yue
4:00-4:15
Short Break
4:15-5:00
RoboTruckers: The Double Threat of AI for Low-Wage Work
Invited talk: Karen Levy, Cornell University
5:00-5:15
Q&A
5:15-5:30
Short Break
5:30-7:30
Reception/Poster session 2