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AI Safety - Near and Far

Open Data Science via YouTube

Overview

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Explore the critical intersection between immediate AI harms and long-term catastrophic risks in this 23-minute keynote presentation. Challenge the conventional zero-sum framing that divides AI safety research communities and discover why increased collaboration between near-term and far-term safety researchers serves both communities' goals more effectively. Examine recent theoretical developments, including work on accumulative existential risk, that demonstrate unified risk pathways connecting immediate and catastrophic AI safety concerns. Learn how cross-talk and synergistic projects between these traditionally separate research streams can strengthen the overall AI safety field and better address the full spectrum of AI-related risks facing society.

Syllabus

AI Safety: Near and Far with Katarina Slama, PhD

Taught by

Open Data Science

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