=Paper=
{{Paper
|id=Vol-2381/xaila2018_invited
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2381/xaila2018_invited.pdf
|volume=Vol-2381
|dblpUrl=https://dblp.org/rec/conf/jurix/Verheij18
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-2381/xaila2018_invited.pdf</pdf>
<pre>
                           Good AI & Law
                                    Bart VERHEIJ
   Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence,
                               University of Groningen


AI's successes are these days so prominent that—if we believe reports in the news—the
times seem near that machines perform better at any human task than humans
themselves. At the same time the prominent AI technique of neural networks—today
typically called deep learning—is often considered to lead to black box results,
hindering transparency, explainability and responsibility, values that are central in the
domain of law. So in that specific sense, the distance between neural network AI and
the needs of the law is vast. In this talk, it is claimed that for good AI & Law we need
an AI that can provide good answers to our questions, has good reasons for them and
makes good choices. It is argued that the path towards good AI & Law requires the
integration of data-driven and knowledge-based AI, and that argumentation as it occurs
in the law can show the way to such integration.

Reference
Verheij, B. (2018). Arguments for Good Artificial Intelligence. Groningen: University
of Groningen. www.ai.rug.nl/~verheij/oratie.

</pre>