Artificial intelligence has become an influential part of life for people all over the world. With the age of technology, there is concern on whether the traditional legal can fairly deal with the legal ramification of automation. The key artificial intelligence issues that might prompt a legal response in society today are algorithmic transparency, infringement of data privacy, artificial intelligence bias, cyber security vulnerabilities, and the adverse impact of automation in the workplace. The research will focus on global jurisdictions that have widely implemented the use of artificial intelligence and available law concerning artificial intelligence. These jurisdictions include the People's Republic of China, the United States of America (both the federal and local governments), the United Arabs Emirates, and the European Union. Sources of data for the research journal articles and case law reports on artificial intelligence and the law. Information will be extracted from google scholar, lexis advance and Westlaw for journal articles and the case law reports will be obtained from Westlaw, LexisNexis, and case law data for the European Union. Besides the electronic database searches, a target website search will also be performed to assist in accessing grey literature that mostly will be composed of the different data protection and implementation of AI. A comprehensive examination and evaluation of the articles and judicial decisions will be conducted to determine their relevance in the study. Thereafter relevant material incorporated in the study will be arranged in a table for easier access and explanation of findings. An extensive review of the materials will be done to combine and summarize the results included in the selected studies and journal articles. The researcher will then provide a conclusion on the research topic based on the evidence gained from the review. Keywords
artificial intelligence and law, algorithmic transparency, infringement of data privacy, artificial intelligence bias, cyber security vulnerabilities, and the adverse impact of automation in the workplace.