"The important shift is that software contribution itself is becoming programmable,"
"Once contribution and reputation building can be automated, the attack surface moves from the code to the governance process around it. Projects that rely on informal trust and maintainer intuition will struggle, while those with strong, enforceable AI governance and controls will remain resilient,"
"The long-term solution is not banning AI contributors, but introducing machine-verifiable governance around software change, including provenance, policy enforcement, and auditable contributions,"
"AI trust needs to be anchored in verifiable controls, not assumptions about contributor intent."
Software contribution is becoming programmable, enabling automated contributions and reputation building. Automating contribution and reputation shifts the attack surface from source code to the governance processes that regulate change. Projects that rely on informal trust and maintainer intuition will struggle to defend against governance-level attacks. Projects with strong, enforceable AI governance, policy enforcement, provenance tracking, and auditable contribution controls will remain resilient. The long-term solution is not banning AI contributors but introducing machine-verifiable governance around software change. AI trust needs to be anchored in verifiable controls rather than assumptions about contributor intent.
Read at InfoWorld
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