The concept of Human-AI coevolution encompasses various interpretations across different disciplines. Below are seven definitions along with corresponding sources:
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.
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.
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.
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.
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.
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.