Cover art for podcast Inference: AI business podcast by Silo AI

Inference: AI business podcast by Silo AI

16 EpisodesProduced by Ville HulkkoWebsite

In a world in which everyone is talking about AI, a real track record is hard-earned. Inference dives deep into data driven organizations and their machine learning operations to understand what it means to work with AI. Our guests range from lead data scientists to founders, strategists and enginee… read more


Episode 16: Regulation, ethics & geopolitics of AI - Mark Caine, World Economic Forum

Regulation, ethics & geopolitics of AI.

AI development advances with staggering speeds across the globe, while the democratization of tools grow the number of developers in every corner of the planet.

"Through the explosion of smart devices, more people arguably have access to Artificial Intelligence than clean water today", says Mark Caine from World Economic Forum. In a world where transformative technologies outrun human procedure, defining regulative and ethical boundaries can be an overwhelming challenges. World Economic Forum, the Switzerland-based NGO, has made strong advances in researching the implications of AI politics, as well as spreading the best practices of AI implementation and regulation to the public and private sectors alike.

Mark Caine is the head of World Economic Forum’s Global AI Action Alliance (GAIA). In this episode, we discuss the state of AI development across the globe, the different approaches to regulating AI as well as the state of AI ehtics discussion.

Mark is a diplomat by background with a keen interest for emerging markets. At WEF, Mark leads government affairs at the Center of Fourth Industrial Revolution alongside GAIA. A former Research Fellow at London School of Economics, his work with sustainable energy policy within African Union Commission has gained global attention. Mark is also a known lecturer at LSE, Stanford, UCL, and more.

Tune in to catch Mark’s insights on emergent AI hubs outside of “the big three”, the paradigms of AI regulation vs. AI-inclusive regulation, and catch Mark’s predictions on the future development of AI politics.

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