ACM Policy Committees

ACM Policy Committees

@acmpolicy.bsky.social

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4/ Their requests: exclude employee data where possible, build de-identification with worker input, keep heightened protections for medical and disciplinary records, and bar using the data to profile groups of workers.

2/ Per a letter from 121 members of Congress, court findings show the data would include ~100M emails, 500M Microsoft Teams messages, employee records, timecards, payroll and tax info, and employment contracts from former Spirit employees.

3/ Google has said it won’t receive personally identifiable information and that the data will be scrubbed by a third party before transfer. The lawmakers argue that direct-identifier removal may not be enough when AI can link patterns across large datasets.

ACM’s U.S. Technology Policy Committee has submitted comments to NIST on its draft TEVV-Athlon Framework. The comments recommend strengthening approaches to testing, evaluating, verifying, and validating AI systems. Read ACM’s comments: buff.ly/0fe7glb #AIGovernance #AI #TechPolicy

acm.orgComments on NIST’s TEVV-Athlon Framework for Evaluating AI SystemsACM Technology Policy Committee is supportive of NIST’s effort to develop a framework for the test, evaluation, verification, and validation (TEVV) of AI systems. While high-level, the proposed…
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The frontier AI competition isn't won by the biggest computers. It's won by the most trustworthy systems. ACM Europe just released a policy brief reframing Europe's AI strategy—and it's a direct challenge to the "arms race" narrative. 🧵

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Europe's layered sovereignty strategy: Transparent supply chains for frontier systems AI Factories as federated trusted environments (not just compute) Proportionate (case-by-case) safeguards for open-weight models International coordination on evaluation & incident response

The frontier AI competition isn't won by the biggest computers. It's won by the most trustworthy systems. ACM Europe just released a policy brief reframing Europe's AI strategy—and it's a direct challenge to the "arms race" narrative. 🧵

Most AI governance treats trustworthiness as a compliance layer added after the fact. Wrong move. Instead: Purpose-first design. Ask why you're building a system, whose interests it serves, whether benefits justify risks. Build that into the architecture from day one.

Meet "cognitive sovereignty"—your capacity to maintain control over your attention, motivation, and decision-making when using AI. Meaningful human oversight doesn't mean rubber-stamping fluent outputs. It means access to alternatives, uncertainty signals, and the right to override.

1/ Consumers accept AI system outputs without any further fact-checking more than 90% of the time. The FTC cites that number in its policy statement on accuracy in AI systems. ACM's US Technology Policy Committee agrees the problem is real — and says the diagnosis is wrong.

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1/ Consumers accept AI system outputs without any further fact-checking more than 90% of the time. The FTC cites that number in its policy statement on accuracy in AI systems. ACM's US Technology Policy Committee agrees the problem is real — and says the diagnosis is wrong.

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1/ Africa needs ~700 more data centers. South Africa already hosts the continent's most developed market. ACM just told the South African Human Rights Commission: this is a human rights question, not only an infrastructure one. Thread 🧵

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1/ Africa needs ~700 more data centers. South Africa already hosts the continent's most developed market. ACM just told the South African Human Rights Commission: this is a human rights question, not only an infrastructure one. Thread 🧵

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3/ It also treats indirect cost rates as a competitive penalty, not the research infrastructure they actually fund. And it'd force researchers to lock in conference/publication plans before results exist.

In computer science, conferences aren't a nice-to-have; they are the primary venue for peer-reviewed publication. OMB's proposal to require pre-approval for conference attendance at grant-submission time is impractical: researchers don't know which conferences they'll submit to a priori. #TechPolicy

Peer review works. Over 50 years, 30–50% of US economic growth has come from computer science — largely driven by government-funded academic research reviewed by qualified scientists. Adding political review to grant decisions won't advance US interests; it will introduce uncertainty. #TechPolicy