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Artificial Intelligence represents many things: a new market to conquer or aquality label for tech companies, a threat for traditional industries, a menacefor democracy, or a blessing for our busy everyday life. The press abounds inexamples illustrating these aspects, but one should draw not hasty andpremature conclusions. The first successes in AI have been a surprise forsociety at large-including researchers in the field. Today, after the initialstupefaction, we have examples of the system reactions: traditional companiesare heavily investing in AI, social platforms are monitored during elections,data collection is more and more regulated, etc. The resilience of anorganization (i.e. its capacity to resist to a shock) relies deeply on theperception of its environment. Future problems have to be anticipated, whileunforeseen events occurring have to be quickly identified in order to bemitigated as fast as possible. The author states that this clear perceptionstarts with a common definition of AI in terms of capacities and limits. AIpractitioners should make notions and concepts accessible to the general publicand the impacted fields (e.g. industries, law, education). It is a truism thatonly law experts would have the potential to estimate IA impacts on judicialsystem. However, questions remain on how to connect different kind of expertiseand what is the appropriate level of detail required for the knowledgeexchanges. And the same consideration is true for dissemination towardssociety. Ultimately, society will live with decisions made by the "experts". Itsounds wise to involve society in the decision process rather than risking topay consequences later. Therefore, society also needs the key concepts tounderstand AI impact on their life. This was the purpose of the trial of an IAthat took place in October 2018 at the Court of Appeal of Paris: gatheringexperts from various fields to expose challenges in law and science towards ageneral public.

Trial of an AI: Empowering people to explore law and science challenges