Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

🤖 Plain-English Summary

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated applications, but the outcomes of many AI models are challenging to comprehend and trust due to their black-box nature. An examination of XAI techniques and evaluation was conducted by looking at 410 critical articles, published between January 2016 and October 2022, in reputed journals and using a wide range of research databases as a source of information.

🔑 Key Findings

• Usually, it is essential to understand the reasoning behind an AI model’s decision-making.
• Thus, the need for eXplainable AI (XAI) methods for improving trust in AI models has arisen.
• XAI has become a popular research subject within the AI field in recent years.

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