Séminaire SoSySec : Synergies and tensions between privacy and other ethical issues in responsible machine learning

SoSySec seminar
Software and Systems Security
Inria - Rennes
March 31st, 2023, 11:00
In-person: Turing-Petri
Remotely with BBB: https://bbb.inria.fr/all-t0p-qjq-9em / Access code: 192737

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Sébastien Gambs (Université du Québec à Montréal)
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Synergies and tensions between privacy and other ethical issues in responsible machine learning
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The success of machine learning models is such that they are now ubiquitous in our society. Their widespread use also raises serious privacy and ethical issues, however, especially if their predictions are put into action in domains in which they can significantly affect individuals. As a result, we have witnessed in recent years several initiatives proposing design principles and guidelines for the responsible development of artificial intelligence. To understand how we may best address privacy and ethics responsibly when developing machine learning models, we therefore need to first have a clear view on how these concepts interact with each other in a positive as well as negative manner. In this talk, I will review the main tensions but also convergences that can emerge when addressing jointly the privacy and ethical challenges that go into designing and deploying machine learning models.

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To follow the presentation remotely, please connect to the following URL with a modern web browser:
- URL: https://bbb.inria.fr/all-t0p-qjq-9em
 Access code: 192737
- Alternative audio access by phone will be possible but the  parameters will be announced only a few minutes before the  presentation.

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Seminar taking place in person with mandatory registration at least 48h beforehand for*all*  in-person participants by email to Nadia Derouaultnadia [*] derouaultinria [*] fr (<nadia[dot]derouault[at]inria[dot]fr>). Participants non-affiliated with Inria or IRISA will be asked to present an ID at the reception desk of the IRISA building.

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Séminaire en présentiel ouvert à tous mais avec inscription obligatoire au moins 48h à l'avance pour*tous*  les participants en présentiel auprès de Nadia Derouaultnadia [*] derouaultinria [*] fr (<nadia[dot]derouault[at]inria[dot]fr>).
Les participants externes devront se présenter à l'accueil avec une pièce d'identité.

Vous pouvez vous abonner à nos annonces de séminaires :
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et consulter la liste des exposés passés et à venir :
https://seminaires-dga.inria.fr/seances-a-venir/