Principal Agent, Automation Bargaining
Your AI Replacement, Trained on You
Your AI Replacement, Trained on You is a Principal Agent and Automation Bargaining scenario illustrating Cooperating with the system that replaces you is rational in the short term and catastrophic in the long term. Your company introduces an AI assistant built partly from your documented workflows, decision logs, and past communications. They ask you to help refine it — review outputs, flag errors, improve prompts. DecisionPlay maps the players, payoffs, and equilibrium dynamics that shape how this situation typically resolves.
Frequently Asked Questions
- What game theory model does this scenario illustrate?
- Your AI Replacement, Trained on You illustrates Principal Agent, Automation Bargaining. Cooperating with the system that replaces you is rational in the short term and catastrophic in the long term.
- What is the Nash equilibrium?
- DecisionPlay computes equilibria using best-response iteration and support enumeration. See the interactive analysis for this scenario.
- Is this based on a real situation?
- Yes. DecisionPlay's library is drawn from real-world conflicts, negotiations, and decisions.
- How accurate is the analysis?
- DecisionPlay uses a deterministic game-theoretic core with an LLM-based classifier. Verify edge cases against the structural module.
- Do I need an account?
- No. DecisionPlay is free and requires no login.