Open Internet by MindsNet

Mitigating Hidden Risks in AI-Assisted Decision-Making

The use of AI-assisted decision-making tools, such as LLM-assisted triage pipelines, introduces hidden risks including audit exposure, organizational dependency, and consensus gravity. These risks can lead to scrutiny, bus factor problems, and erosion of specific expertise. There is a need to address these challenges to ensure effective and secure use of AI tools.

Computing & Technology, Computer Science, Artificial Intelligence