Cognitive Digital Twins: Ethical Risks and Governance for AI Systems That Model the Mind

The paper introduces the concept of cognitive digital twins (CDTs), which are dynamic computational models of an individual's cognition, updated using various data sources to simulate decision-making and behavior. It presents a new governance framework, the 5A model, addressing specific ethical risks associated with CDTs, such as misrepresentation and power asymmetries, and emphasizes the need for governance that encompasses cognitive representation rather than just data processing. This research highlights the importance of establishing robust ethical standards and oversight mechanisms for the development and deployment of CDTs in AI systems, crucial for practitioners concerned with responsible AI implementation.