Abstract
The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies is transforming industries, societies, and the nature of human-machine interactions. This paper explores the impact of AI and the critical role of transdisciplinary research in understanding, harnessing, and guiding its evolution. We discuss the evolution of AI from rule-based systems to complex neural networks, followed by various use cases and a case study of the MITRE Corporation's xAcademy platform. Challenges and safety recommendations are presented, and future work is proposed to address ethical, social, and economic implications of AI. The aim is to foster a comprehensive understanding of AI's potential and promote interdisciplinary collaboration to ensure an ethically sound and equitable AI-powered future.
Published Version
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