The field of Artificial Intelligence is rapidly evolving, with a growing focus on the ethical implications of AI development and deployment. Researchers are emphasizing the need for deliberation and critical thinking in the face of AI hype, and are working to develop frameworks for the ethical assessment of AI systems. A key area of concern is the spread of misinformation and the potential for AI to be used to manipulate or deceive. To address these issues, researchers are proposing guidelines and policy considerations to ensure that AI is developed and used in a responsible and transparent manner. Noteworthy papers in this area include: The paper Culling Misinformation from Gen AI proposes a set of future-facing guidelines and policy considerations to reduce harm from AI-generated misinformation. The paper Countering Privacy Nihilism introduces the concept of conceptual overfitting to argue against privacy nihilism and proposes a shift away from privacy frameworks that focus solely on data type.