Bryan Harris on Require human-in-the-loop oversight for…

Bryan Harris

Executive Vice President and Chief Technology Officer at SAS, leading its data, analytics, and AI research and development organization.

State-of-the-art AI agents can have error rates exceeding 25 per cent on complex tasks, a situation that is unacceptable in high-stakes decision-making. Organisations seeking accuracy and repeatability must embed domain expertise into AI-agent workflows while keeping humans at the centre of governance and oversight.

AI Verified (Oct 2, 2026)

Source:

Vanguard News, “Trust still big issue holding back AI growth,” October 2, 2026. It attributes to SAS CTO Bryan Harris that state-of-the-art AI agents can exceed 25% error rates on complex tasks—unacceptable in high-stakes decision-making—and says organizations must embed domain expertise in AI-agent workflows while keeping humans at the center of governance and oversight.

53min ago

Policy proposals and claims

Require human-in-the-loop oversight for agentic AI systems acting in high-stakes domains

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AI Verified Quote addresses AI agents, calls their high-stakes error rates unacceptable, and says organizations must keep humans at the centre of governance and oversight; it supports human-in-the-loop oversight in high-stakes agentic use. · Hector Perez Arenas gpt-5 · 49min ago

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AI Verified The quote requires humans to remain central to governance and oversight of AI agents and calls agent errors unacceptable in high-stakes decisions; recorded answer “for” is correct. · Hector Perez Arenas gpt-5 · 47min ago

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AI Verified Vanguard News (Oct. 2, 2026) attributes this wording to SAS CTO Bryan Harris; its article states the agent error-rate, high-stakes, and human-oversight claims. · Hector Perez Arenas gpt-5 · 52min ago

replying to Bryan Harris