Microsoft's New AI Governance Tool: The Decision Tree
Microsoft has introduced a governance tool, the Decision Tree, to guide professionals in integrating AI into their tasks. This tool aims to prevent overreliance on AI, ensure trust aligns with business risks, and maintain professional accountability.
The Decision Tree poses two key questions: 'What are the trust requirements?' and 'Do you have deep domain expertise?' Based on these, it routes users into one of four AI integration strategies.
In 'Human-Led Amplification', AI accelerates tasks but the human signs off, suitable for high trust and deep expertise situations. 'Human-First Learning' sees AI as a learning companion, requiring expert validation before acting, for high trust and no domain expertise scenarios. 'Confident Delegation' has AI handle routine work with human spot-checks for low trust and deep expertise situations. Lastly, 'Full AI Assistance' allows AI to run tasks with minimal oversight, suitable for low trust and no domain expertise situations.
Used consistently, the Decision Tree creates a repeatable standard for every task, role, and team regarding AI acceleration, assistance, and human judgment. It ensures AI adoption maps to real business risk and professional accountability.
Microsoft's AI Integration Decision Tree provides a clear roadmap for professionals to determine how to use AI in specific tasks. By considering trust requirements and domain expertise, it promotes responsible AI adoption and maintains human oversight.
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