Limited-Time Offer: Up to 75% Off Coursera Plus!
7000+ certificate courses from Google, Microsoft, IBM, and many more.
This course aims to help learners understand the importance of trust in Artificial Intelligence (AI) systems, especially in critical domains like healthcare and finance. By exploring Explainable AI (XAI), participants will learn how to make AI models more transparent and trustworthy through providing explanations for their predictions. The course covers topics such as different types of explanations, fairness, trust, and the TrustyAI initiative at Red Hat. The teaching method includes theoretical discussions, practical examples, and references for further exploration. This course is intended for individuals interested in AI ethics, transparency, and accountability, particularly those working with AI systems in impactful industries.
