Fall 2026 AI Safety at UCSB Interest form

AI safety primer

Resources

What is AI safety?

AI safety works to prevent advanced AI systems from causing catastrophic harm. That includes understanding how systems could pursue misaligned goals, deceive overseers, gain dangerous autonomy, or enable misuse, then developing evaluations, security, and control measures that can withstand those risks.

Start here · 34 minutes

Watch this first.

A vivid walkthrough of one possible path from today’s AI to superintelligence, designed to make rapid progress, racing, and the stakes of losing control concrete.

AI in Context · 80,000 Hours

We’re Not Ready for Superintelligence

A narrative exploration of how an AI race could unfold, and how it might end in catastrophe or concentrated power.

34 min

Resource library

Go deeper.

01 · Why advanced AI matters

Start with the stakes

Why capabilities may keep advancing, why the transition could be irreversible, and why catastrophic outcomes deserve serious attention.

02 · Why control is hard

The control problem

Direct answers to the most common objections about goals, shutdown, intelligence, training, and unintended behavior.

03 · Evidence & active research

What researchers are finding

Empirical warning signs and serious research programs on misalignment, evaluation, and control.

04 · Governance & possible futures

What could happen next

Evidence syntheses, concrete safeguards, and scenarios for navigating increasingly powerful AI.

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Explore the Fellowship, meet the community, and find a way to contribute through research, policy, or organizing.

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