This podcast discusses the implications of artificial intelligence (AI), particularly generative AI, on assessment practices in higher education. The first document, a systematic literature review, analyzes studies examining the relationship between assessment for learning and AI. It reveals that while much research focuses on qualitative approaches to assessment for learning, there is a gap in understanding the integration of AI into formative feedback practices. The second document, a discussion paper commissioned by the Tertiary Education Quality and Standards Agency (TEQSA), outlines guiding principles and propositions for assessment reform in the age of AI. It emphasizes the importance of equipping students to engage ethically and responsibly with AI, designing assessments that capture the learning process, and ensuring that assessment practices are inclusive and adaptable to the changing education landscape. The paper advocates for a systemic approach to assessment that considers how AI can be integrated into learning outcomes and program design. Both documents acknowledge the complexities and challenges associated with incorporating AI into assessment but ultimately offer a framework for navigating this evolving landscape and fostering a higher education system that is ethical, innovative, and prepares students for the future.