AI risk: why and how?

Victoria Krakovna, co-founder

Danger: competence, not malice

Advanced AI considerations ● ● ● ●

accelerating progress in AI in the last 10 years many experts expect human-level AI this century not imminent, but would be a big deal! best case: solves disease, poverty, corruption, other coordination problems ● worst case: existential risk ● extremely high-variance technology ● we can do research now to increase chances of a positive outcome

Risk aspects ● intelligence explosion ● problematic instrumental objectives: ○ resource acquisition, self-preservation, etc ● misspecification / misalignment of values: ○ setting omitted variables to extreme values ● unintended consequences / shortcuts ● human incentives: bad actors, arms race potential, etc ● containment

Open letter on robust & beneficial AI

Research priorities ● verification: did I build the system right? ● validity: did I build the right system? ○ e.g. value learning, decision theory ● security: how to prevent external or internal manipulation? ○ e.g. containment, anomaly detection ● control: OK, I built the system wrong, can I fix it? ○ e.g. interruptibility, corrigibility

FLI's research grants program ● $10M funding pledged by Elon Musk ● Announced 3-year international grants program to fund AI safety research (Jan 2015) ● Received ~300 applications totalling $100M in requested funds (Mar 2015) ● Awarded grants to 37 teams: 32 project grants, 1 center grant, 4 outreach grants (Jul 2015) ● Considering a second round of grant program in 2017

Funded research projects ● Alex Aiken: Verifying Deep Mathematical Properties of AI Systems ● Thomas Dietterich: Robust and Transparent Artificial Intelligence Via Anomaly Detection and Explanation ● Owain Evans: Inferring Human Values: Learning “Ought”, not “Is” ● Benya Fallenstein: Aligning Superintelligence With Human Interests ● Percy Liang: Predictable AI via Failure Detection and Robustness ● Francesca Rossi: Safety Constraints and Ethical Principles in Collective Decision Making Systems ● Stuart Russell: Value Alignment and Moral Metareasoning ● and 30 other projects

AI risk: why and how?

accelerating progress in AI in the last 10 years. ○ many experts expect human-level AI this century. ○ not imminent, but would be a big deal! ○ best case: solves disease, poverty, corruption, other coordination problems. ○ worst case: existential risk. ○ extremely high-variance technology. ○ we can do research now to ...

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