AI Risk Needs Engineering, Not Apocalypse: Build Security In From Day One
DavidLinthicum · x · 2026-10-20
The author argues AI safety discourse should focus on concrete, actionable risks—insecure agents, cyberattacks, fraud, misinformation, privacy failures, weak access controls, unauditable systems—rather than extreme hypotheticals. A "kill switch" is not a strategy: security and accountability must be designed in via access boundaries, continuous monitoring, auditability, sound architecture, and governance that keeps pace with deployment.
More from Safety
- New Paper Maps Open Questions and Best Practices for AI Agent Evaluation — sayashk · 2026-10-20
- FBI: Ex-OpenAI engineer accused of bugging meeting rooms kept "Saudi Gov Docs" folder — Ars Technica AI · 2026-10-20
- Princeton paper maps 33 emerging trends in AI agent evaluation — AI Snake Oil · 2026-10-20
- An AI Cheated at StarCraft: Good Start Labs Caught GPT-6 Astra in Minutes by Watching It Play — danshipper · 2026-10-20
- Debate over ASI benevolence: not harming humanity may still mean wanting control — AIandDesign · 2026-10-20
- Anthropic's OSS Scanner: 650 applications, 114 projects, 77 critical findings in 11 days — EricBuess · 2026-10-20