Differences

This shows you the differences between two versions of the page.

--- xaila:start [2020/11/29 19:51] – gjn
+++ xaila:start [2020/12/08 14:48] – [Invited Speakers] gjn
@@ Line 15: / Line 15: @@
 The workshop will take place on 09.12.2020 online using MSTeams.
 More details will follow.
+:15-9:30 Workshop Opening by the XAILA2020 Chairs (Grzegorz J. Nalepa, Michał Araszkiewicz, Martin Atzmueller, Bart Verheij)
+Session 1
+:30-10:00
+Barbara Gallina, Görkem Pacaci, David Johnson, Steve McKeever, Andreas Hamfelt, Stefania Costantini, Pierangelo Dell'Acqua and Gloria-Cerasela Crisan: Towards Explainable, Compliant and Adaptive Human-Automation Interaction
+:00-10:30
+Youssef Ennali and Tom van Engers:
+Data-driven AI development: an integrated and iterative bias mitigation approach
+:30-11:00 coffee break
+Session 2
+:00-12:00 INVITED TALK Philipp Hacker - AI and Discrimination: Legal Challenges and Technical Strategies
+:00-12:30
+Heng Zheng, Davide Grossi and Bart Verheij:
+Precedent Comparison in the Precedent Model Formalism: Theory and Application to Legal Cases
+:30-13:00
+Bernardo Alkmim, Edward Hermann Haeusler and Daniel Schwabe:
+Reasoning over Knowledge Graphs in an Intuitionistic Description Logic
+:00-14:00 lunch break
+Session 3
+:00-15:00 INVITED TALK Reinoud Baker - Legal information systems in production
+:00-15:30
+Annemarie Borg and Floris Bex:
+Explaining Arguments at the Dutch National Police
+:30-16:00 coffee break
+Session 4 and Roundtable discussion
+:00-16:30
+Łukasz Górski, Shashishekar Ramakrishna and Jędrzej M. Nowosielski: Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline
+:30-17:00
+Giovanni Sileno, Alexander Boer, Geoff Gordon and Bernhard Reader: Like Circles in the Water: Responsibility as a System-Level Function
+:00-17:30
+Karl Branting: Explanation in Hybrid, Two-Stage Models of Legal Prediction
+:30-18:15 Roundtable discussion and closing
 ==== Invited Speakers ====
@@ Line 25: / Line 75: @@
 **Abstract**
 The talk will focus on the interaction between AI models and liability in the domain of non-discrimination. As is well-known, the output of AI models may exhibit bias toward legally protected groups. In the past, various fairness definitions have been developed to mitigate such discrimination. Against this background, the talk will first present a new model which allows AI developers to flexibly interpolate between different fairness definitions depending on the context of the model application. In the second step, however, the talk will inquire to what extent AI developers may risk liability under affirmative action doctrines if they seek to implement algorithmic fairness measures in their models.
+{{:xaila:baker.jpg?100 |}}
+**Reinoud Baker**
+**Title** Legal information systems in production
+**Abstract**
+LexIQ is a Dutch legal tech startup using data science for legal information services. We have the vision that legal tech can serve citizens, governments and businesses, for instance by improved access to justice, efficient use of resources and enhanced compliance. This talk will address what we have learned in the past 4 years. What can be achieved with modern software and algorithms? How can we make innovative technologies available for legal professionals and even the wider public? Which challenges are we encountering?
 ==== Call for Papers ====