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Trustworthy XAI and Application

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arxiv 2410.17139 v2 pith:H3AGVZRS submitted 2024-10-22 cs.AI

classification cs.AI
keywords systemsartificialimportantintelligencetrustwillaccountabilityaccurate
verification ladder T0 review T1 audit T2 compute T3 formal
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Artificial Intelligence (AI) is an important part of our everyday lives. We use it in self-driving cars and smartphone assistants. People often call it a "black box" because its complex systems, especially deep neural networks, are hard to understand. This complexity raises concerns about accountability, bias, and fairness, even though AI can be quite accurate. Explainable Artificial Intelligence (XAI) is important for building trust. It helps ensure that AI systems work reliably and ethically. This article looks at XAI and its three main parts: transparency, explainability, and trustworthiness. We will discuss why these components matter in real-life situations. We will also review recent studies that show how XAI is used in different fields. Ultimately, gaining trust in AI systems is crucial for their successful use in society.

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