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UID:20260603T220610EDT-1316K8WNFk@132.216.98.100
DTSTAMP:20260604T020610Z
DESCRIPTION:Soyez des nôtres pour une conférence L'intelligence artificiell
 e et le droit avec Nicole Rigillo\, PhD\, chercheuse au Berggruen Institut
 e et chez Element AI.\n\nMme Rigillo s'interroge sur l'application de l'ap
 prentissage machine aux décisions prises à propos d'êtres humains\, ce qui
  exige une révision de notre entendement de ce qu'est une décision exactem
 ent. C'est une question importante\, car\, à quelques exceptions près\, no
 s lois\, nos attentes en matière de raisonnement et nos notions de respons
 abilité s'articulent autour de la notion d'humains étant les principaux ag
 ents responsables des décisions prises à l’égard d'autres êtres humains.\n
 \nRésumé\n\n[En anglais seulement] Artificially intelligent systems are in
 creasingly being used to both augment and replace human decision-makers of
  all kinds: a human resources representative screening a job applicant\, a
  judge assessing a prisoner’s bail request\, or an immigration agent issui
 ng a visa\, for example. The automation of high-stakes decisions has led t
 o concerns about bias\, fairness\, and transparency. But a question that r
 emains largely unexplored is how the application of machine learning to de
 cisions made about human beings asks us to revise our understanding of wha
 t a decision is.\n\nThis is not a trivial question considering that\, with
  some exceptions\, our laws\, expectations about explanations\, and notion
 s of accountability have been developed around humans as the primary agent
 s responsible for decisions made about other humans. This presentation fir
 st situates how human decisions have been framed in administrative law\, c
 ognitive science and behavioural economics. It then draws on interviews wi
 th AI engineers to illustrate the major differences between human decision
 -making processes and the modes of reasoning used in second-wave AI.\n\nA 
 key issue here is the problem of interpretability\, necessitating the deve
 lopment of a set of methods known as explainable AI\, along with attendant
  concerns about the quality and utility of these explanations. The present
 ation closes by arguing that the differences in modes of reasoning between
  humans and machines necessitates a rethinking of laws and notions of acco
 untability to better account for the specificity of decisions made by arti
 ficially intelligent agents.\n\nLa conférencière\n\n[En anglais seulement]
  Nicole Rigillo is an anthropologist and Research Fellow at the Berggruen 
 Institute's Transformations of the Human Program. She is based at Element 
 AI in Montreal\, where she engages AI scientists in dialogue on how artifi
 cial intelligence is changing what it means to be human.\n\nHer current re
 search centers around explainable AI and spaces of epistemic negotiation b
 etween humans and intelligent machines\, ethical AI processes\, and data c
 ollection in insurance and retail contexts. Her postdoctoral research at t
 he University of Edinburgh examined how civic and environmental activists 
 use WhatsApp to improve municipal governance in Bangalore\, India\, raisin
 g questions concerning the effects of encrypted dark social networks on de
 mocracy and the public sphere. Her PhD research at 91ºÚÁÏÍø focus
 ed on how mandatory corporate social responsibility in India is altering a
 n earlier model of welfare universalism by redistributing social responsib
 ilities among groups of non-state actors.\n\nLe cycle L'intelligence artif
 icielle et le droit\n\nCe cycle de conférences est une collaboration du La
 boratoire de cyberjustice de Montréal\; le Collectif étudiant pour la tech
 nologie et le droit\; le groupe de recherche Justice privée et état de dro
 it\; le Centre des politiques en propriété intellectuelle de 91ºÚÁÏÍø\; et l
 e projet d'Autonomisation des Acteurs Judiciaires par la Cyberjustice et l
 ’Intelligence Artificielle’ (AJC).\n\nCette activité est admissible pour 1
 \,5 heures de formation continue obligatoire tel que déclaré par les membr
 es du Barreau du Québec.\n
DTSTART:20191126T220000Z
DTEND:20191126T233000Z
LOCATION:NCDH 316\, Chancellor Day Hall\, CA\, QC\, Montreal\, H3A 1W9\, 36
 44 rue Peel
SUMMARY:What does a Decision become in the Era of Artificial Intelligence?
URL:/law/fr/channels/event/what-does-decision-become-e
 ra-artificial-intelligence-302249
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