AI, Corporate Responsibility & Democratic Legitimacy: Extended Q&A • Joanna Bryson

About this episode

This Q&A session was recorded at GOTO Copenhagen 2025. https://gotocph.com Joanna Bryson - Professor of Ethics and Technology, Responsible Data Science for Human Development RESOURCES https://bsky.app/profile/j2bryson.bsky.social https://mastodon.social/@j2bryson https://twitter.com/j2bryson https://www.linkedin.com/in/bryson https://joanna-bryson.blogspot.com Links https://digital-markets-act.ec.europa.eu/index_en DESCRIPTION Joanna Bryson challenges many popular assumptions about AI and AGI. She argues that current generative AI systems are not autonomous intelligences but powerful tools that compress and reproduce human cultural knowledge at scale. While these systems can appear intelligent, they remain dependent on human-created data, corporate incentives, and carefully engineered guardrails. Bryson cautions against anthropomorphizing AI and emphasizes that many concerns about AI stem from misunderstandings about how these systems actually work. The discussion ultimately centers on responsibility and governance. Bryson argues that transparency, accountability, and democratic oversight matter far more than debates about machine consciousness. Whether discussing AI companion