Human-Centered Explainable AI: An Overview of Current Approaches and Challenges

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 41

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شناسه ملی سند علمی:

CMELC02_023

تاریخ نمایه سازی: 16 خرداد 1404

چکیده مقاله:

As artificial intelligence (AI) systems are increasingly adopted in high-stakes domains such as healthcare, finance, and criminal justice, their opaque and complex decision-making processes present significant challenges for user trust, accountability, and transparency. Human-Centered Explainable AI (HCXAI) aims to address these challenges by focusing not only on algorithmic transparency but also on how explanations are designed, delivered, and understood by human users. This overview articulates the progress and the persistent gaps in building AI systems that are not only accurate but also interpretable, usable, and trustworthy.

نویسندگان

Fatemeh Barati

Kharazmi University, Tehran, Iran