The field of AI research is moving towards increased collaboration between humans and AI systems, with a focus on designing effective and meaningful interfaces that support human oversight of AI. Recent studies have highlighted the potential of generative AIs in usability inspection, as well as the importance of responsible AI design to mitigate emerging human-centric risks. The development of agentic software engineering and public red teaming models are also gaining traction, with a emphasis on laying strong foundations for deliberate and desirable AI development. Noteworthy papers in this area include: Cost Savings from Automatic Quality Assessment of Generated Images, which presents a formula for estimating cost savings from automatic image quality assessment. Will AI also replace inspectors, which examines the performance of generative AIs in identifying usability problems and suggests that AI can serve as a valuable augmentation tool to improve efficiency and expand defect coverage. Design Considerations for Human Oversight of AI, which develops a generalizable framework of twelve design considerations for effective and motivational interfaces that support human oversight of AI systems. Ask What Your Country Can Do For You, which proposes a cooperative public AI red-teaming exercise to deliver responsible AI and ensure AI's harms are fully understood and its security vulnerabilities mitigated.