This podcast episode explores the economic impact and potential unintended consequences of the "right to be forgotten" privacy law. The speakers discuss how this right, which allows individuals to request the deletion of their personal data, can lead to adverse selection and moral hazard in economic markets. They highlight the distortion of information and the harm it can cause to individuals and society as a whole. Furthermore, the speakers emphasize the importance of considering the broader social impacts of the right to be forgotten, particularly in the context of data protection and generative AI systems. They discuss how the selective removal of data can induce biases and negatively affect the quality of outputs. The lack of transparency surrounding the training data used in generative AI models is also highlighted, as it can introduce biases and limit the understanding of model performance.