Title: [Episode 48] Entering an Era Where We Can Ask AI “Why?” — The Trust and Assurance Aimed for by Explainable AI
Excerpt:
“Explainable AI,” which allows us to understand how AI makes its decisions, plays a key role in enhancing trust and safety. It is increasingly expected to be applied in various fields such as healthcare and finance.
AI systems can also exhibit “unfairness,” which means they may make decisions that disadvantage certain individuals or groups. To address this, the concept of “fairness” has become increasingly important. Fairness in AI involves efforts to reduce bias and ensure that decisions are made in a way that is just and equitable. Achieving fairness requires both technical approaches and ethical considerations, as developers strive to create AI systems that treat everyone with respect and impartiality.
As AI evolves, businesses are shifting towards hybrid systems that enhance reliability and predictability in complex applications, ensuring safer outcomes.
