8 citations · 10 across the 6 of their papers we have counts for
6 papers
Investigating Multi-Agent Deliberation in Law
Cor Steging, Ludi van Leeuwen, Tadeusz Zbiegień
Artificial Intelligence is increasingly applied to the field of law, and has the potential to increase access to justice. One particular movement that is gaining traction is that o…
Confronting Label Indeterminacy in Automated Bail Decisions
Cor Steging, Tadeusz Zbiegień
Bail decisions present a fundamental challenge for data-driven decision support systems. When bail is denied, the counterfactual outcome of whether the defendant would have appeare…
Label Indeterminacy in AI & Law
Cor Steging, Tadeusz Zbiegień
Machine learning is increasingly used in the legal domain, where it typically operates retrospectively by treating past case outcomes as ground truth. However, legal outcomes are o…
Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design
Elena Musi, Nadin Kokciyan, Khalid Al-Khatib +10
In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, a…
Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models
Cor Steging, Silja Renooij, Bart Verheij
Generative large language models as tools in the legal domain have the potential to improve the justice system. However, the reasoning behavior of current generative models is brit…
Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning
Cor Steging, Silja Renooij, Bart Verheij
In AI and law, systems that are designed for decision support should be explainable when pursuing justice. In order for these systems to be fair and responsible, they should make c…