AI Summary: The article proposes a comprehensive framework to enhance the enforceability of AI governance in healthcare, emphasizing the need for institutional empowerment, corporate liability, transparency, and participatory governance. It advocates for AI Ethics Boards to have conditional veto powers to halt non-compliant deployments and suggests embedding corporate responsibility mechanisms based on strict liability to ensure accountability for AI failures. The framework also highlights the importance of transparency measures, such as public registries and audit trails, to foster compliance and trust, while recommending that hospitals serve as the primary organizational locus for implementing these governance principles. Ultimately, the article calls for a shift in oversight from advisory roles to an institutional architecture capable of generating binding effects in AI governance.
Older adults’ engagement with AI tools: how privacy, use frequency relate to needs, enjoyment, sustained use
AI Summary: Self-Determination Theory (SDT) is applied to understand the psychological impacts of AI-powered tools on older adults, emphasizing the fulfillment of three basic needs: autonomy, competence, and relatedness. The article discusses how AI technologies, such as voice assistants and health management applications, can enhance these needs by promoting user control, providing feedback for effective task management, and facilitating social connections. The authors propose that increased engagement with AI tools correlates with greater satisfaction of these needs, which may lead to enhanced enjoyment and continued use of such technologies. Three hypotheses are presented, linking the frequency of AI tool use to the satisfaction of autonomy and competence needs.