MIT Researchers Develop Framework Evaluating System Ethics

MIT researchers today presented SEED-SET, an automated evaluation framework that balances measurable objectives and human values to test AI systems. The method uses a large language model as a human proxy and an adaptive experimental-design loop to identify scenarios where system recommendations meet or violate ethical criteria, demonstrated on power-grid and urban-traffic simulations. The approach reduces manual evaluation and surfaces ethically problematic strategies before deployment.