Trustworthy AI, tooling up the methods
Speaker: Zakaria Chihani, CEA
Abstract of the event:
The need to assess and validate the trustworthiness of AI (robustness, transparency, safety, security, etc.) has been the subject of considerable academic work for some time now. One of the natural evolution of such research efforts is to have a tangible impact in the industrial sector and in the upcoming standards. To this end, theoretical feasibility of algorithmic methods is not enough: one needs to put these methods inside usable tools that can scale to real-world problems. Evidently, this need has not gone unnoticed either and several teams are actively working on growing their tools further and further in a constant race with a very rapidly moving field.
While fundamental research is a paramount bedrock, in this workshop, we want to focus on how far we have come in satisfying the goal of seeing AI safely permeating our future.
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