The Shocks To Crude Oil Production. Nonparametric Stationarity Analysis For 20 OPEC And Non-OPEC Countries

Le résumé fourni par la source

Introduction: With recent breakthroughs in organized and amorphous data and rapid growth in analysis methodologies, Artificial Intelligence (AI) is causing a revolution in the health care industry. The value of Artificial Intelligence in health care is becoming recognized at the same time that people are becoming concerned about the models' possible lack of explainability and bias. This discusses the concept of explainable artificial intelligence (XAI), which enhances a system's trustworthiness, resulting in more widespread AI adoption in health care. In this chapter, we discuss several perspectives on explainable artificial intelligence principles, as well as the understandability and interpretability of explainable AI systems, with a particular focus on the health care sector. This chapter uses AI explainability as a way to help build trustworthiness in the medical domain and takes a look at the recent developments in the area of explainable AI, which encourages creativity and at times are necessary in practice to raise awareness. The goal is to teach health care providers about the interpretability and understandability of explainable AI systems.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.