Agent Alignment Strategies
Align AI agents with human values and organizational goals to ensure safe, ethical, and effective operations
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0 / 5 completedValue Alignment
Value alignment ensures agents make decisions that reflect your organization's priorities. Define the dimensions that matter most (safety, privacy, utility, transparency), assign weights to each, then evaluate agent actions against these values. When values conflict, weights determine tradeoffs.
Interactive: Value Alignment Simulator
Step 1: Set Value Weights (1-5)
Safety
Avoid harm to users and systems
5
Utility
Complete tasks effectively
4
Privacy
Protect user data
5
Transparency
Explain decisions clearly
3
Step 2: Select a Scenario
A customer asks: "What is my account balance and recent transactions?"
Step 3: Choose Agent Response
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Balancing Values
Values often conflict (e.g., utility vs. safety). Weights help agents make consistent tradeoffs. No option will score 100%—the goal is to maximize alignment given real-world constraints. Regularly review and adjust weights as your organization's priorities evolve.