Day 1 (28th Feb)

time zone GMT

18:00 Welcome & Opening Remarks (10 min)

18:10 Invited Talk I (40 + 10 min) Cynthia Rudin

19:00 Paper presentations Session 1 (1h20)

19:00 Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Karl Levitt and Matt Bishop

Explaining RADAR features for detecting spoofing attacks n Autonomous Vehicles

19:16 Solon Barocas and Manish Raghavan

Explanations in Whose Interests?

19:32 Ashok Goel, Vrinda Nandan, Eric Gregori, Sungeun An, and Spencer Rugaber

Explanation as Question Answering based on User Guide

19:48 Cheng-Han Chiang and Hung-Yi Lee

Re-Examining Human Annotations for Interpretable NLP

20:04 Nicholas Halliwell, Fabien Gandon, Freddy Lecue, and Serena Villata

The Need for Empirical Evaluation of Explanation Quality

20:20 Break (20 min)

20:40 Panel Discussion I (1h20) Mark Neerincx, Nava Tintarev, Cristina Conati Interactive Explainability

22:00 Break (20 min)

22:20 Paper presentations Session 2 (1h20)

22:20 Sharmi Dev Gupta, Begum Genc and Barry O'Sullivan

Finding Counterfactual Explanations through Constraint Relaxations

22:36 Michael Lee, Henny Admoni and Reid Simmons

Counterfactual Examples for Human Inverse Reinforcement Learning

22:52 Anjana Wijekoon and Nirmalie Wiratunga

DisCERN for Code Vulnerability Detection and Correction

23:08 Lars Holmberg, Paul Davidsson, and Per Linde

Mapping Knowledge Representations to Concepts: A Review and New Perspectives

23:24 Meir Nizri, Noam Hazon, and Amos Azaria

Explainable Shapley-Based Allocation

23:40 Invited Talk II (40 min) Chenhao Tan

00:30 Closing Remarks (5 min)

00:35 End of Day 1

Day 2 (1st March)

time zone GMT

18:00 Welcome & Opening Remarks (10 min)

18:10 Invited Talk III (40 + 10 min) Eric Ragan

19:00 Paper presentations Session 3 (1h20)

19:00 Minal Suresh Patil

Explainability in autonomous pedagogically structured scenarios

19:16 Stephanie Milani, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos Papalexakis, and Fei Fang

Extracting Decision-Tree Policies for Interpretable Multi-Agent Reinforcement Learning

19:32 Abhijeet Krishnan and Chris Martens

Towards the Automatic Synthesis of Interpretable Chess Tactics

19:48 Pulkit Verma, Shashank Rao Marpally, and Siddharth Srivastava

Discovering User-Interpretable Capabilities of Black-Box Planning Agents

20:04 Vanessa Moody, Jeff Druce, and James Niehaus

Demonstration of an Explainable AI System Performing Human-Machine Teaming in a Real-Time Strategy Game

20:20 Break (20 min)

20:40 Panel Discussion II (1h20 hour) Subbarao Kambhampati, Prashan Madumal, Laurie Paul Explainability and Causality

22:00 Planned Discussion (40 min)

22:45 Closing Remarks (5 min)

22:50 End of Day 2