Responsible AI Integration and Human Flourishing

The field of AI research is moving towards a more human-centric approach, focusing on responsible AI integration and its impact on human flourishing. Researchers are exploring the potential of AI to enhance human capabilities, while also emphasizing the need for preserving intrinsic human superpowers and evaluating AI's impact on human abilities. The concept of sovereignty and self-sustaining AI agents is also gaining attention, with the potential for decentralized AI societies to thrive alongside humanity. Furthermore, there is a growing recognition of the importance of ethical considerations and participatory research in AI development, particularly in areas such as education and rehabilitation. Noteworthy papers include: Human Authenticity and Flourishing in an AI-Driven World, which proposes a pathway towards a Human Flourishing Benchmark. On the Day They Experience, which speculates on the emergence of sentient AI agents and their potential to evolve into self-sustaining beings. A Participatory Strategy for AI Ethics in Education and Rehabilitation, which integrates ethical, educational, clinical, and technological expertise in designing AI-based technologies for inclusive learning environments. Exploring Moral Exercises for Human Oversight of AI systems, which outlines a methodology for cultivating virtues that enable effective human oversight of AI systems. Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships, which systematically identifies risks of AI thought partners and proposes concrete metrics for risk evaluation and mitigation strategies.

Sources

Human Authenticity and Flourishing in an AI-Driven World: Edmund's Journey and the Call for Mindfulness

Unremarkable to Remarkable AI Agent: Exploring Boundaries of Agent Intervention for Adults With and Without Cognitive Impairment

On the Day They Experience: Awakening Self-Sovereign Experiential AI Agents

A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach

Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies

Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships

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