Our data is besieged by tech companies, leading to hidden AI harms in the information economy. Companies can do this because our laws are built on outdated ideas that trap lawmakers, regulators, and courts into wrong assumptions, resulting in ineffective legal remedies to one of the most pressing concerns of our generation. Drawing on behavioral science, social data science, and economics, Ignacio Cofone challenges existing laws and reform proposals and dispels enduring misconceptions about AI-driven interactions. This exploration offers a view of why current laws and regulations fail to protect us against corporate digital harms, particularly those created by AI. Cofone then proposes a better response: meaningful accountability for the consequences of corporate data practices. Ultimately, accountability requires creating a new type of liability system for AI harms that recognizes the value of privacy.
Ignacio Cofone is the Canada Research Chair in A.I. Law & Data Governance at McGill University and an Affiliated Fellow at the Yale Law School Information Society Project. He writes about how the law should adapt to technological and economic change with a focus on privacy and AI
Sponsoring Organization(s)
Information Society Project