You Can't Iterate to Trustworthy AI Code Without Understanding
ronbodkin · x · 2026-08-19
As the AI industry races to automate research, a critical question arises: to what extent is human understanding of AI-generated code required for reliable automation? This article argues that iterating on outcomes from automatically generated code without human understanding is inadequate.
Undetected failures can produce flawed safety cases, allowing the deployment of unsafe AI. This has implications for how much automation can be done safely and what needs to be measured to mitigate risks.
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