Advances in large language models and automated interviewing systems are rapidly changing how interviews can be designed, delivered, and analysed. In this session, we will reflect on AI-based interviewing as an emerging assessment modality across chat, voice, and video delivery modes. The session will focus on psychometric foundations, response distortion, applicant experience, and implications for high-stakes decision-making. Drawing on recent and ongoing empirical work, we will discuss what AI interviewing appears to do well, where its limitations currently lie. The session will also consider applied use cases, including personnel selection, integrity assessment, and insider-threat or national-security contexts, as exemplars for understanding how AI interviewing performs when incentives to distort are strong. We will conclude by outlining key research, ethical, and professional challenges for I/O psychologists working in this space. The session will provide an opportunity for the audience to share experiences and ask questions of the panel.