Humans + AI resources > Humans + AI: Decision Structures
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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?
