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Humans + AI: Decision Structures

A set of frameworks for how Humans and AI can best collaborate in making decisions.


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Decision types

Strategic
Tactical
Routine
Micro

Factors in use of AI

Complexity
Impact
Frequency
Decision clarity
Data availability
Volatility
Time sensitivity

Delegation levels

Fully delegated to AI
Humans for exceptions
AI recommendation to humans
AI contextual input to humans
Human only

Decision archetypes

AI Decision
AI Recommend → Human Approve
AI Analysis → Human Judgment → Human Decision
AI Input → Human Assessment →  AI Option analytics → Human Decision

Decision process role allocation

Decision awareness

Humans

  • Strategic understanding of issues

AI

  • Identify relevant trends and emergent issues

 

Define decision

Humans

  • Establish scope and objectives

AI

  • Analysis on context
  • Identify decision parameters

 

Generate options

Humans

  • Ideation
  • Diverse outlooks

AI

  • Option generation
  • Prediction

 

Assess options

Humans

  • Judgment
  • Apply decision frameworks

AI

  • Data-driven analysis
  • Recommendation

 

Decision

Humans

  • Apply experience and AI inputs

AI

  • Automated

 

Post decision

Humans

  • Monitoring
  • Review

AI

  • Outcome analytics
  • Model improvement

 

Governance

Accountability
Who is responsible for the decision?
Explainability
Can automated decisions be explained?
Transparency
What data and models underlie decisions?
Bias
How can any bias be identified and addressed?