1/ Removing names from a dataset doesn’t make it anonymous. That technical question now sits at the center of a proposed $10M sale of Spirit Airlines’ internal data to Google for AI training. 🧵 buff.ly/dDt9eP0
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.
5/ For computing professionals, this is a familiar problem at a new scale: NIST has recognized that de-identified data can be re-identified. How would you test whether 600M messages are truly anonymous? buff.ly/dDt9eP0
ACM’s U.S. Technology Policy Committee has submitted comments to NIST on its draft TEVV-Athlon Framework.
We recommend strengthening approaches to testing, evaluating, verifying, and validating AI systems.
Read ACM’s comments: buff.ly/0fe7glb
#AIGovernance #AI
ACM’s Expanding Regions Technology Policy Committee has submitted comments to the African Union’s Open Consultation on AI Governance and Regulation in Africa.buff.ly/TVu5vDd
The submission provides recommendations to support effective, interoperable, and context-sensitive approaches to AI governance.
#AIGovernance #ArtificialIntelligence #TechPolicy #Africa
Read the submission: buff.ly/TVu5vDd
Court settlements keep shaping data privacy one company at a time. Should norms be set that way? ACM's TechBrief on #DataPrivacy: buff.ly/gN9VVwG
The United Nations General Assembly is in full swing this week. What do you think will drive the narrative this week? A safe bet... AI Governance. Check out our recommendations here: buff.ly/XaLwPES
#AI #UN
Voting system security is not optional. ACM's comments to the Election Assistance Commission on Voluntary Voting System Guidelines 2.0: voting infrastructure must be auditable, observable, and resistant to attack. buff.ly/iX0N3UC #TechPolicy #AI #Voting
Facial recognition is being deployed faster than we can articulate the harms. ACM published principles for responsible facial recognition in 2021. This technology can help and surveil. The principles ask: if you use it, understand the real tradeoffs. buff.ly/8TkzYTw
Agentic systems make decisions faster than humans can audit them. ACM Europe's policy brief on systemic risks from agentic AI asks the hard questions: what oversight actually works when the system operates autonomously?
#AI #Agentic
Read the brief. buff.ly/djmWsqw
AI can write a patch in seconds. A human maintainer still has to decide whether to accept it. That gap is the open source problem of the next five years. New ACM TechBrief on AI's effects on open source: 🧵
buff.ly/7X2AmZB
4/ Concrete version: #AI models that find and patch vulnerabilities can also find them for attackers. Meanwhile SBOMs are mandated in the US and EU, but most OSS releases still don't ship one — and an SBOM won't tell you if a component is maintained or abandoned.
5/ For #policymakers and #computing professionals: the priority is knowing the governance, maintenance, and security properties of the software you already depend on — before a failure makes it obvious. Read the TechBrief (free): buff.ly/Dzoki6h
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. 🧵
Tweet 4:
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 & incidents
This isn't about turning off innovation. It's about competing through scientific excellence + human rights protection + democratic accountability.
The brief: buff.ly/GQywL3m











