In this episode, we discuss Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards by Jaeho Kim, Yunseok Lee, Seulki Lee. The paper addresses challenges in AI conference peer review caused by massive submission volumes and declining review quality. It proposes a bi-directional review system where authors evaluate reviewers, and reviewers receive formal accreditation to improve accountability. The paper focuses on reforming reviewer responsibility through a two-stage feedback loop and incentive mechanisms to promote sustainable, high-quality reviews.