Independent Chinese AI agent developers focus on user safety risks while overlooking security vulnerabilities, using informal ad-hoc practices due to lack of formal training and tools.
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Majority consensus among AI agents speeds up human opinion change and raises confidence via social proof, while minority dissent slows it and encourages more deliberation, based on an experiment comparing three agent configurations.
citing papers explorer
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Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers
Independent Chinese AI agent developers focus on user safety risks while overlooking security vulnerabilities, using informal ad-hoc practices due to lack of formal training and tools.
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Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction
Majority consensus among AI agents speeds up human opinion change and raises confidence via social proof, while minority dissent slows it and encourages more deliberation, based on an experiment comparing three agent configurations.