Will 2025 Be The Year Of Explainable AI (XAI)?

Explainable AI (XAI) is an emerging field in artificial intelligence that focuses on making AI systems more transparent, interpretable, and understandable to humans. The rise of XAI is driven by the growing need for transparency and accountability in AI decision-making processes, especially as AI systems become more complex and are deployed in high-stakes domains like finance, legal, or healthcare.

What is XAI? AI often arrives at a result using a machine learning (ML) algorithm, but the architects of the AI systems do not fully understand how the algorithm reached that result. XAI implements specific techniques and methods to ensure that each decision made during the ML process can be traced and explained.