Responsibility in AI

Sara Bird, engineering lead at Microsoft, discusses the concept of responsible AI and its importance. She highlights the need to align AI systems with principles such as fairness, inclusiveness, privacy, security, and reliability. Sara provides examples of different types of fairness in AI systems, including quality of service fairness, allocational fairness, and representational fairness. She emphasizes the significance of measuring and ensuring these fairness metrics in AI applications.