Please find the schedule below. Please be aware that the schedule may change.
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Jump to: Monday, October 30
Jump to: Tuesday, October 31
Jump to: Wednesday, November 1
| Event # | Time | Event | Venue |
|---|---|---|---|
| 8:30 AM | Breakfast | Concourse | |
| 1 | 9:00 AM | Opening remarks | Main Space |
| 2 | 9:15 AM | Session: Allocating Resources | Main Space |
| Potty Parity: Process Flexibility via Unisex Restroom | |||
| Food Subsidies at the Base-of-the-Pyramid: Take-up, Substitution and Nutrition | |||
| Empowering Collective Impact: Introducing the SWAP System for Resource Sharing | |||
| 3 | 10:00 AM | Break | Concourse |
| 4 | 10:30 AM | Keynote talk: Ridhi Kashyap | Main Space |
| 5 | 11:30 AM | Session: Labor & Money | Main Space |
| Equal Pay for Similar Work | |||
| Implications of Worker Classification in On-Demand Economy | |||
| Algorithmic Harm in Consumer Markets | |||
| Designing Fiduciary Artificial Intelligence | |||
| 6 | 12:30 PM | Lunch | Concourse |
| 12:30 PM | Social event: Student groups (undergrad, MS, PhD) | Concourse | |
| 12:30 PM | Faculty network event | Concourse | |
| 7 | 1:30 PM | Poster Session | Concourse |
| 8 | 3:00 PM | Break | Concourse |
| 3:00 PM | Social event: Regional Groups Discussion Tables | Concourse | |
| 9 | 3:30 PM | Tutorial: Tutorial on effective, deployed, and thoughtful AI for Social Impact | Main Space |
| 10 | 5:30 PM | Doctoral Consortium | Main Space |
| 5:30 PM | Break and poster installation | Main Space | |
| 6:00 PM | “How-to” Talk | Main Space | |
| 6:30 PM | Lightning Talks | Main Space | |
| 7:30 PM | Posters | Main Space |
| Event # | Time | Event | Venue |
|---|---|---|---|
| 8:30 AM | Breakfast | Concourse | |
| 1 | 9:00 AM | Keynote talk: Yeukai Chideya | Main Space |
| 2 | 10:00 AM | Break | Concourse |
| 10:00 AM | Social event: Bridging Research and Practice | Concourse | |
| 3 | 10:30 AM | Tutorial: Tutorial on effective, deployed, and thoughtful AI for Social Impact continued | Main Space |
| 4 | 11:30 AM | Panel Discussion: From Theory to Practice: Exploring Academia-Adjacent Partnerships for Change in Mexico | Main Space |
| 5 | 12:30 PM | Lunch | Concourse |
| 12:30 PM | Social event: Affinity Groups Discussion Tables | Concourse | |
| 6 | 1:30 PM | Poster Session | Concourse |
| 7 | 3:00 PM | Break | Concourse |
| 8 | 3:30 PM | Session: Power & Participation | Main Space |
| Towards a Better Understanding of the Computer Vision Research Community in Africa | |||
| Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use | |||
| The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice | |||
| A Critique of the 2021 National Institute of Justice Recidivism Forecasting Challenge | |||
| Power and Public Participation in AI | |||
| 9 | 4:45 PM | Awards Announcement | Main Space |
| 10 | 5:00 PM | MD4SG Updates | Main Space |
| 11 | 5:30 PM | Evening Reception | Lobby |
| 7:30 PM | End of the Evening Reception | Lobby |
| Event # | Time | Event | Venue |
|---|---|---|---|
| 8:30 AM | Breakfast | Concourse | |
| 1 | 9:00 AM | Session: Mechanisms for Correction | Main Space |
| Setting the Right Expectations: Algorithmic Recourse Over Time | |||
| Optimal top-n Policy | |||
| Design on Matroids: Diversity vs. Meritocracy | |||
| Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools | |||
| 2 | 10:00 AM | Break | Concourse |
| 10:00 AM | Social event: Application Areas Discussion Tables | Concourse | |
| 3 | 10:30 AM | Keynote talk: Mayank Varia | Main Space |
| 4 | 11:30 AM | Session: Respecting preferences | Main Space |
| Overbooking with Priority-Respecting Reassignment | |||
| Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization | |||
| A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems | |||
| 5 | 12:30 PM | Lunch | Concourse |
| 6 | 1:30 PM | Session: Demographics & Representation | Main Space |
| Mitigating demographic bias of machine learning models on social media | |||
| Fairness Without Demographic Data - A Survey of Approaches | |||
| Common Voice and accent choice: data contributors self-describe their spoken accents in diverse ways | |||
| Estimating Racial Disparities When Race is Not Observed | |||
| Learning from a Biased Sample | |||
| Is Your Model Predicting the Past? | |||
| 7 | 3:00 PM | Break | Concourse |
| 3:00 PM | Social event: Research Fields Discussion Tables | Concourse | |
| 8 | 3:30 PM | Session: Strategic Solutions | Main Space |
| Votemandering: Strategies and Fairness in Political Redistricting | |||
| FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks | |||
| 30 Million Canvas Records Reveal Widespread Sequential Bias and System-design Induced Surname Initial Disparity in Grading | |||
| The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements | |||
| Bursting the Filter Bubble: Disincentivizing Echo Chambers in Social Networks | |||
| 9 | 4:45 PM | Closing Remarks | Main Space |
| 10 | 5:00 PM | Informal social events: Location: Walk to the Esplanade, with Time Out market as rain plan |