GOTO - The Brightest Minds in Tech
The GOTO podcast seeks out the brightest and boldest ideas from language creators and the world's leading experts in software development in the form of interviews and conference talks. Tune in to get the inspiration you need to bring in new technologies or gain extra evidence to support your software development plan.
GOTO - The Brightest Minds in Tech
AI, Corporate Responsibility & Democratic Legitimacy: Extended Q&A • Joanna Bryson
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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 companions, recommendation algorithms, open-source models, regulation, or AI-assisted software development, her conclusion remains consistent: technology is not destiny. Engineers, companies, policymakers, and citizens all have agency in shaping how AI is deployed, regulated, and integrated into society. [...]
Read the full abstract here:
https://gotocph.com/2025/sessions/3783
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Chris Miller • Chip War • https://amzn.to/4aBCUKT
Henry Farrell & Abraham Newman • Underground Empire • https://amzn.to/3YdXdGX
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
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