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Ian Goodfellow warns advanced AI needs adversarial security before unforeseen uses

In a dated 2019 interview, Ian Goodfellow argued that resistance to adversarial examples and security against adversaries were among machine learning's most important research problems, especially before advanced AI systems are used in consequential domains that developers cannot yet anticipate.

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CURRENT ASSESSMENT · REVISION 1
TOWARD DOOM32confidence 56/100

Why it moved the index

Goodfellow identifies unresolved adversarial robustness as a control and security risk for advanced AI deployed in uses that cannot be anticipated in advance. The direct nexus requires one reasonable inference from a general technical warning to future consequential systems, so confidence is capped below 60. This is a dated forecast and research-priority argument, not evidence that an escape, compromise, or deployment failure occurred.

Assessment history

  1. R1
    Toward 32 · confidence 56

    New historical primary interview adds a distinct adversarial-security warning not present in Goodfellow's durable labor or capability items.

    01 Sept 2026

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  1. DoomBench assesses “Ian Goodfellow warns advanced AI needs adversarial security before unforeseen uses” as evidence moving toward doom, with magnitude 32 and confidence 56 out of 100 in the safety and alignment category.

  2. The DoomBench assessment of “Ian Goodfellow warns advanced AI needs adversarial security before unforeseen uses” is based on reporting from Lex Fridman Podcast and records the editorial rationale, source quality, attribution, and...

  3. DoomBench summarizes “Ian Goodfellow warns advanced AI needs adversarial security before unforeseen uses” as follows: In a dated 2019 interview, Ian Goodfellow argued that resistance to adversarial examples and security against...

    https://www.doombench.com/news/ian-goodfellow-warns-advanced-ai-needs-adversarial-security-before-unforeseen-uses-2019-04-18