ABSTRACT Contemporary developments have empowered artificial intelligence (AI) to take a generalist approach: a single AI like ChatGPT can now solve problems from diverse fields. Here, we discuss the long‐debated human‐versus‐AI argument through a systematic review of AI literature from 1996–2024. While the strengths of AI are undeniable—it can perform various tasks from different bodies of knowledge more accurately and efficiently than humans—its output is hindered by the explainability of its information processing mechanism also known as explainable AI (XAI). This shortcoming of AI has reduced its feasibility. In the future, humans and AI can work synergistically: AI can support humans by doing tiring work, while humans assume the role of expert by maintaining AI performance and approving (and/or improving) its output.
Ahmed et al. (Wed,) studied this question.