This research presents a novel ethical framework for autonomous decision-making systems in critical infrastructure environments.
Our study proposes a dynamic decision-making framework that integrates ethical constraints with real-time operational requirements. This research was conducted in collaboration with over 25 institutions across 14 countries.
We developed a hybrid model combining reinforcement learning with ethical utility matrices. The system was tested in 37 simulated scenarios including:
Ethical Framework API
Live decision simulation
Python SDK with real-time ethics validation
Case Study Archive
257 real-world scenarios
Anonymized datasets from actual deployment
Dr. Daniel Richards
Chief AI Scientist
Dr. Amelia Li
Ethics Research Lead