Modern technology shapes society and vice versa. When determining how to manage future technology, it is necessary to encourage beneficial breakthroughs while keeping in mind the core principles and rights upon which democratic societies are built. In the international discourse on the legal and ethical regulation of Artificial Intelligence (AI) and other emerging technologies, the need for an interdisciplinary approach is widely recognised. Generally speaking, legal, ethical, and computer science or machine learning expertise are considered to be the bare minimum requirements. In addition to examining governance from a holistic and interdisciplinary approach to determine what is required to comply with the law, to define what is ethically correct, and to provide practical technical solutions. This study highlights the law, ethics, and machine learning. Thus, by identifying the legal developments in regulating legal education in public universities and reviewing the Standard Programme Law and Syariah issued by the Malaysian Qualifying Agency (2015), this study is informed by ethical aspects that should be addressed in governing emerging technology. The Maqasid Syariah and ethics serve as the study's core pillars and are utilised to build a model for managing emerging technologies in legal and syariah programmes. Doctrinal research from primary and secondary sources is used in this study. Adopting the Maqasid Syariah framework into higher education courses in law and Syariah can help to ensure that new technology is governed by ethical and moral principles, even though both frameworks share certain common ground or aims. The ideals of Maqasid Syariah improve people's quality of life as well as society. Overall, governing emerging technologies requires a multi-faceted approach that prioritizes benefits and costs, trustworthy characteristics, equitable and inclusive processes, consumer safety, privacy, and security. It also requires knowledge sharing and cross-sector collaboration to adapt to the unpredictable nature of business models that rely on emerging technologies.