January 7, 2025

January 7, 2024

January 7, 2024

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Beyond the Board: Exploring AI Robustness Through Go

Last year, we showed that supposedly superhuman Go AIs can be beaten by human amateurs playing specific “cyclic” patterns on the board. Vulnerabilities have previously been observed in a wide variety of sub- or near-human AI systems, but this result demonstrates that even far superhuman AI systems can fail catastrophically in surprising ways. This lack of robustness poses a critical challenge for AI safety, especially as AI systems are integrated in critical infrastructure or deployed in large-scale applications. We seek to defend Go AIs, in the process developing insights that can make AI applications in various domains more robust against unpredictable threats.

Beyond the Board: Exploring AI Robustness Through Go | FAR.AI

Achieving robustness remains a significant challenge even in narrow domains like Go. We test three approaches to defend Go AIs from adversarial strategies. We find these defenses protect against previously discovered adversaries, but uncover qualitatively new adversaries that undermine these defenses.

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Gynvael Coldwind 🐈: "(please re-post for reach - thank you!) Learned a…" - Infosec Exchange

(please re-post for reach - thank you!) Learned a cool new Linux trick? Know an interesting quirk in a network protocol? Or have something else to share? Write a 1-page article for the #6 issue of Paged Out! :) https://pagedout.institute/?page=cfp.php Soft deadline is Feb 1st.

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