Workshop Programme

Wednesday, November 3, 2021 (EST)


  • 9:00 am - 9.05 am Opening Remarks Daniele Magazzeni (AI Research Director and Head of Explainable AI Center of Excellence at J.P. Morgan)

  • 9:05 am - 10.05 am Panel Discussion Moderated by David Heike (Head of Risk Modeling at J.P. Morgan Consumer and Community Bank)

      • Albert Chang (Senior Counsel at CFPB), Melissa Koide (CEO & Director at FinRegLab), Walter McCahon (Principal: Data Protection and Ethics at UK Finance)

  • 10:05 am - 10:15 am Break

  • 10:15 am - 11:30 am Session 1 Chair: Francesca Toni (Imperial College London)

      • 10:15 am - 10:30 am Counterfactual Shapley Additive Explanations Emanuele Albini (J.P. Morgan AI Research), Jason Long, Danial Dervovic, Daniele Magazzeni

      • 10:30 am - 10:45 am Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendation to End Users Beatriz San Miguel González (Fujitsu Research of Europe), Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli

      • 10:45 am - 11:00 am A Survey on the Robustness of Feature Importance and Counterfactual Explanations Saumitra Mishra (J.P Morgan AI Research), Sanghamitra Dutta, Jason Long, Daniele Magazzeni

      • 11:00 am - 11:15 am Causal Injection into Neural Networks Fabrizio Russo (Imperial College London), Francesca Toni

      • 11:15 am - 11:30 am Principled Diverse Counterfactuals in Multi-Linear Models Vaishak Belle (University of Edinburgh), Ioannis Papantonis

  • 11:30 am - 11:40 am Break

  • 11:40 am - 12:25 am Session 2 Chair: Saumitra Mishra (J.P Morgan AI Research)

      • 11:40 am - 11:55 am Explanations in Whose Interests? Solon Barocas (Microsoft Research and Cornell University), Manish Raghavan (Harvard University)

      • 11:55 am - 12:10 pm An Investigation of the Impact of COVID-19 Non-Pharmaceuticals Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques Siyuan Liu (Swansea University), Mehmet Orcun, Hsuan Fu, Xiuyi Fan

      • 12:10 pm - 12:25 pm Parameterized Explanations for Investor / Company Matching Simerjot Kaur (J.P Morgan AI Research), Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

  • 12:25 pm - 12:30 pm Break

  • 12:30 pm - 1:00 pm Session 3 Chair: Anupam Datta (Carnegie Mellon University)

      • 12:30 pm - 12:35 pm Designing Inherently Interpretable Machine Learning Models Aijun Zhang (Corporate Model Risk, Wells Fargo), Agus Sudjianto

      • 12:35 pm - 12:40 pm Neural Policy Learning in Interpretable Trading Strategies Using Inductive Priors Fabian Krause (Oxford University), Jan-Peter Calliess

      • 12:40 pm - 12:45 pm Fairness Through Time Alessandro Castelnovo (Intensa Sanpaolo), Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

      • 12:45 pm - 12:50 pm Logical English for Legal Applications Robert Kowalski (Imperial College London), Jacinto Dávila, Miguel Calejo

      • 12:50 pm - 12:55 pm Venture Capital (Mis)Allocation in the Age of AI Lea Stern (University of Washington), Victor Lyonnet

      • 12:55 pm - 1:00 pm Building Effective Guidelines for XAI: Lessons from Philosophy Oliver Buchholz (University of Tübingen)

  • 1:00 pm CONCLUSIONS Francesca Toni (Imperial College London)

Speaker has been underlined.