AICoin AI: Researchers Propose Monitoring Chatbot ’Thoughts’, Sparking Surveillance Debate
Over 40 AI safety researchers have proposed a framework to analyze the internal reasoning of language models before execution. This technique aims to prevent harmful outputs but introduces dual-use risks—the same mechanism enabling safety checks could be repurposed for mass surveillance of human-AI interactions.
Market implications remain unclear, though privacy-focused blockchain projects may see renewed interest if AI monitoring tools proliferate. The proposal highlights growing tensions between AI safety protocols and decentralized values in Web3 ecosystems.