Schedule

ICML workshop Law and Machine Learning & COVID-19

As for ICML 2020, the Law and Machine Learning workshop will move to a virtual format. The workshop will occur on July 17th at the GMT/UTC time zone: For instance [9am UTC] is [5am New-York time], [11am Vienna time] and [6pm Tokyo time].

The attendees will have full access to the workshop by using the ICML platform directly. Note that the parallel poster sessions won't be managed by the ICML platform. The links to get the posters and to discuss about them with their authors are then given below in this webpage.

If you have no access to the ICML platform and you need to present some material at the workshop, please do not hesitate to send us an email to icml2020-lml@math.univ-toulouse.fr . We will then send you a zoom link with a password.

9:00-9:15: Workshop Introduction by the organizers

9:15 - 10:00: Keynote (pre-recorded)

• Professor Frederik Zuiderveen Borgesius (Amsterdam University & Radboud University): “Legal Protection in Europe against Discrimination by Machine Learning systems”

10:00-11:15: Panel 1

• 10:00-10:15: Algorithmic Recourse: from Counterfactual Explanations to Interventions (Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera)

• 10:15-10:30: Are AI-based Anti-Money Laundering (AML) Systems Compatible with European Fundamental Rights? (Astrid Bertrand, Winston Maxwell, Xavier Vamparys)

• 10:30-10:45: Online publication of court records: circumventing the privacy-transparency trade-off (Tristan Allard, Louis Béziaud, Sébastien Gambs)

• 10:45-11:00: The Gap between Deep Learning and Law: Predicting Employment Notice (Jason T. Lam, Rohan Bhambhoria, David Liang, Xiaodan Zhu, Samuel Dahan)

• 11:00-11:15: Social Fairness, Accountability and Transparency of the Data Economy: Using Machine Learning to Combat the Emptiness of Privacy Policies (Przemysław Pałka, Roozbeh Yousefzadeh)

11:15-12:00: Q&A session

12:30-13:00: Live posters presentations (a virtual room is dedicated to talk about each poster) - Session 1

• Impact of Legal Requirements on Explainability in Machine Learning (Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay) - Poster - zoom link (password: 1St4s0 )

• Content Moderation as Legal Compliance: Annotating Hate Speech Using Judicial Legal Frameworks for Natural Language Processing Tasks (Thales Bertaglia, Giovanni De Gregorio, Catalina Goanta, Jerry Spanakis) - Poster - zoom link

• Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models (Fabrice Muhlenbach, Isabelle Sayn, Long Nguyen-Phuoc) - Poster - zoom link (Meeting ID: 852 6034 1029 / Password: 9nsMqC )

• Detecting and Explaining Unfairness in Consumer Contracts with Memory Networks (Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni) - Poster - zoom link

• A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal (Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran) - Poster - zoom link (Meeting ID: 910 5111 5108 / Password: 6Qg2bC )

• The interrelation between Data and AI Ethics in the context of Impact Assessments (Emre Kazim, Adriano Soares Koshiyama) - Poster - zoom link

13:00-13:30: Live posters presentation (a virtual room is dedicated to talk about each poster) - Session 2

• Accuracy Bounding: A Regulatory Path Forward for the Algorithmic Society (Aileen Nielsen) - Poster - google meet link

• The AI Accident Network: Artificial Intelligence Liability Meets Network Theory (Anat Lior) - Poster - zoom link

• Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices (Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy) - Poster - zoom link

• Conceptualizing Facial Recognition Technology in its Technical and Legal Dimensions (Natalia Menendez) - Poster - zoom link (ID: 828 3662 0266 / Password: 8zsTGB)

• Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination (Damian Borth, Lea Steinacker) - Poster- zoom link

13:30-14:15: Keynote (pre-recorded)

• Professor Olivier Sylvain (Fordham Law School): “Recovering Tech's Humanity”

14:15-14:45: Live Q&A (online session)

14:45-16:00: Panel 2

• 14:45-15:00: Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems (A. Feder Cooper, Karen Levy, Christopher De Sa)

• 15:00-15:15: Punishing Race, Poverty and Trauma: the Data behind predictive algorithms in the American justice system (Claire Boine, Jeffrey D. Krupa)

• 15:15-15:30 : Legal Risks of Adversarial Machine Learning Research (Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert)

• 15:30-15:45: What Is a Proxy and Why Is It a Problem? (Margarita Boyarskaya, Solon Barocas, Hanna Wallach)

• 15:45-16:00: Formalizing Data Deletion in the Context of the Right to be Forgotten (Sanjam Garg, Shafi Goldwasser, Prashant Nalini Vasudevan)

16:00-16:45: Q&A Session

16:45-17:15: Discussion about the Workshop and Next Steps

17h15: End of the Workshop