Deb Raji

AI accountability, audits and evaluation

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AI accountability, audits and evaluation with public evidence across Culture, work & education, Evaluation & benchmarks, Responsible AI.

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AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.

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@yonashav @Miles_Brundage There's also a lot of the traditional consulting firms (ie Mckinsey, Deloitte, etc) who have AI audit teams; several law firms etc - we identify what we saw here; https://t.co/xtjMeTt9yW Again, I'm not endorsing anyone in particular but I suspect the …

AI auditing: The Broken Bus on the Road to AI Accountability arxiv.org
AI Weekly's analysis →
  • A SaTML 2024 paper by Birhane, Steed, Ojewale, Vecchione and Raji calls the practical AI audit ecosystem 'muddled and imprecise.'
  • The authors report that 'only a subset of AI audit studies translate to desired accountability outcomes' across six stakeholder groups they taxonomize.
  • They locate the difference in audit design, methodology and institutional context, not the mere fact that an audit was performed.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 13d ago

I feel like we're due a new version of this paper for the "frontier AI" audit ecosystem: https://t.co/vTfyyQJk7r

Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem arxiv.org
AI Weekly's analysis →
  • The paper catalogs 438 individuals and 189 organizations doing algorithmic audit work, backed by an anonymous survey of 152 and 10 industry-leader interviews.
  • Its top recommendation is requiring owners and operators of AI systems to engage in independent algorithmic audits against clearly defined standards.
  • Recommendations also cover notifying affected individuals, mandating disclosure for peer review, harm reporting, stakeholder involvement, and auditor accreditation.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 16d ago

We also wrote a bit about this here; https://t.co/xm4QhTrail I don't think it's as straightforward as people are imagining to set up a third party audit ecosystem and I really wish there was a more direct reference to the more mature audit regimes we should be learning from!

Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance arxiv.org
AI Weekly's analysis →
  • Raji, Xu, Honigsberg and Ho argue existing algorithmic accountability policy has "neglected the lessons from non-algorithmic domains" on third-party participation.
  • The paper surveys audit systems in financial, environmental and health regulation and finds their institutional design is "far from monolithic."
  • Their conclusion: audits alone are "unlikely to achieve actual algorithmic accountability" without sustained institutional design work.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 17d ago

Anyways, here's some of that discourse from 2019; https://t.co/pzBqIF2MEA + Communities like MD4SG, who piloted in 2016; https://t.co/3CQxeNxYiw And folks like @jessicadai_ explicitly drawing bridges to the language of "alignment" in 2023; https://t.co/3etNai5xlr

The Artificiality of Alignment joinreboot.org
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 4 from the directory shared this · 37d ago

I don't want people to underestimate civil society's potential as a meaningful "embedded AI evaluator". There's Data & Society's "AI on the ground" team (https://t.co/QY22xTrgqd), CDT's AI governance lab (https://t.co/L1qlxtSdT5), ACLU's algo justice team, and many more!

AI on the Ground - Data & Society datasociety.net
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 13d ago

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