Can We Blame the Chatbot if it Goes Wrong?

This seminar presentation explores the complex issue of accountability in AI chatbots, particularly examining cases where chatbots have been implicated in tragic outcomes including suicides. Delve into the landmark Air Canada case that established corporate responsibility for chatbot errors, and learn about fundamental concepts including accountability, responsibility, and liability in AI systems. Discover the critical importance of transparency and explainability in achieving meaningful AI accountability, and understand how responsibility might be distributed among various stakeholders including developers, data providers, deployers, and users. Compare regulatory approaches in the EU's AI Act and Canada's AIDA, examining their shared responsibility models and the ongoing challenges in assigning liability within the rapidly evolving landscape of generative AI. Presented by Sun-Gyoo Kang, Chief Compliance Advisor at National Bank of Canada and founder of Law and Ethics in Tech, whose expertise spans AI ethics, FinTech regulations, and the intersection of law and emerging technologies.