The integration of artificial intelligence (AI) and machine learning (ML) into modern electronics has revolutionized design, manufacturing, and functionality across various sectors. Key impacts include enabling smart devices like voice assistants, optimizing manufacturing processes for defect detection and yield improvement, and transforming consumer electronics through personalized recommendations and predictive maintenance. From very-large-scale integration (VLSI) design to smart consumer devices, AI/ML technologies have enhanced efficiency, performance, and adaptability. Moreover, incorporation of AI and ML into the metaverse for enhanced user experiences, such as creating realistic avatars and personalized environments, and for building intelligent systems that power content creation, analytics, and natural language interactions. These technologies enable more seamless navigation through voice or gesture, generate dynamic content, automate tasks, and provide developers with data insights for optimization. However, this rapid advancement presents complex regulatory challenges, including data privacy, algorithmic transparency, and cross-border compliance. This chapter assesses the current scenario of AI/ML integration in the electronics sector, the existing regulatory ecosystem, and emerging regulatory challenges, as well as possible solutions for addressing these challenges.