Conférence dans le cadre des Congrès scientifiques mondiaux TimeWorld : TimeWorld expose et anime la connaissance sous toutes ses formes, théorique, appliquée et prospective. TimeWorld propose un état de l'art sur une thématique majeure, avec une approche multiculturelle et interdisciplinaire. C'est l'opportunité de rencontres entre chercheurs, industriels, universitaires, artistes et grand public pour faire émerger des idées en science et construire de nouveaux projets.
Ilona Logvinova is Associate General Counsel at McKinsey & Company, within McKinsey Digital, working closely with advanced analytics, AI/ML, cloud strategy and enablement, and digital transformations across a range of industries. Prior to joining McKinsey, Ilona was Senior Counsel at Mastercard, where she worked on ground-up technology builds and tech transactions to leverage the company’s core assets and explore broader partnership opportunities. Prior to Mastercard, Ilona was an Associate at Fried Frank, where she specialized in leveraged finance representing borrowers and lenders in secured and unsecured financings. Ilona has a BA from Columbia University with a joint major in Economics and Philosophy and her JD from the Benjamin N. Cardozo School of Law.
Conference : How should we view human responsibility with increased automation?
Friday 6 may 2022, 16h45 - 17h30 — Amphi orange
The word cyborg—a combination of “cybernetics” and “organism”—describes an emerging hybrid of machines and humanity. As the tech-enabled augmentation of daily life normalizes, society is becoming increasingly more comfortable with tech being a part of individuals in a deeply integral way. The tension and nuance of humanity and automation is being explored via the emergence of “cyborg law”, codifying the idea that the "law will have to accommodate the integration of technology into the human being", providing rights and protections for both the person and the technology increasingly making up our personhood. But in addition to focusing on rights, should the focus expand to include responsibilities? As cyborg law evolves to protect the machine in our human-machine integration, like through privacy laws—particularly those regarding AI—perhaps we should also work to understand where the machine may have decision-making power instead of the human, and allow for an increasing gap in responsibility, ultimately giving rise to a debt for liability incurred but unaccounted for. This session explores the meaning of automation in AI, emerging risk mitigation tools such as ethical AI frameworks, and the importance of structuring a tailored, thoughtful and contextual approach to responsible AI and ML automation.