Ethic Principle

Ethical AI principles aim to guide the responsible development and deployment of artificial intelligence systems, addressing concerns about fairness, transparency, accountability, and societal impact. Current research focuses on operationalizing these high-level principles through practical frameworks and tools for risk assessment, system classification (e.g., using risk-based or multi-dimensional models), and managing ethical trade-offs. This work is crucial for bridging the gap between abstract ethical guidelines and concrete development practices, ultimately fostering the creation of trustworthy and beneficial AI systems.