Human-AI Co-evolution (Definitions)
The concept of Human-AI coevolution encompasses various interpretations across different disciplines. Below are seven definitions along with corresponding sources:
Reciprocal Evolution of Humans and AI
- Definition: A process where humans and AI algorithms continuously influence each other, leading to mutual development over time.
- Source: Pedreschi, D., et al. (2023). Human-AI Coevolution. arXiv.
Feedback Loop Between AI and Society
- Definition: A dynamic feedback loop where AI technologies impact social systems, which in turn influence AI development.
- Source: Northeastern University News (2024). Researchers Are Pioneering the Study of Human AI Coevolution.
Integration of AI into Human Evolution
- Definition: An extension of humanity’s evolutionary journey, where AI becomes a significant driver of biological, cognitive, and cultural evolution.
- Source: Kurzweil, R. (2024). The Singularity is Nearer: When We Merge with AI. New York Post.
Collaborative Evolution
- Definition: Emphasizes collaboration between humans and AI to achieve common goals, viewing coevolution as a partnership.
- Source: Pedreschi, D., et al. (2023). Human-AI Coevolution. arXiv.
Ethical and Philosophical Perspective
- Definition: Developing AI systems that align with human values while adapting human behavior and policies to responsibly manage AI technologies.
- Source: Pedreschi, D., et al. (2023). Human-AI Coevolution. arXiv.
AI as a Cultural and Cognitive Partner
- Definition: AI is seen as a participant in human cultural and cognitive evolution, contributing to the creation of art, knowledge, and social systems.
- Source: Pedreschi, D., et al. (2023). Human-AI Coevolution. arXiv.
Systems Theory Perspective
- Definition: Approaches Human-AI coevolution from a systems theory perspective, emphasizing the emergent properties of interconnected human and AI systems.
- Source: Pedreschi, D., et al. (2023). Human-AI Coevolution. arXiv.
These definitions highlight the multifaceted nature of Human-AI coevolution, reflecting its complexity and the diverse perspectives from which it is studied.
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