The field of artificial intelligence (AI) is progressing rapidly and, as a data-driven technology, AI-powered tools lend themselves to a wide range of applications. In this blog we will look at potential opportunities for AI integration into teaching and learning, current case studies of successful use, and the explicit limitations and vulnerabilities of using this technology-driven approach. For assessment, AI-assisted marking and feedback software goes beyond what has been achieved through multiple-choice quizzes. In STEM subjects, AI-powered tools can help significantly in the semi-automation of marking. Rather than grading hundreds of calculus submissions, an AI tool is very fit for purpose, using a technology called'replay grading' ensuring that similar submissions are not marked twice, and grouping similar answers so they can be given a consistent grade at the same time.