Evolutionary Perspectives on Human-Artificial Intelligence Convergence.

Autor: Zybailov BL; University of Arkansas for Medical Sciences, Department of Biochemistry and Molecular Biology, Little Rock, AR,72205 USA., Kosovsky GY; FSBSI V.A. Afanasyev RI for Fur and Rabbit Farming, Moscow region, Ramen's district, Rodniki, 140143 Russian Federation., Glazko GV; University of Arkansas for Medical Sciences, Department of Biomedical Informatics, Little Rock, AR, 72205 USA., Glazko VI; FSBSI V.A. Afanasyev RI for Fur and Rabbit Farming, Moscow region, Ramen's district, Rodniki, 140143 Russian Federation., Skobel OI; FSBSI V.A. Afanasyev RI for Fur and Rabbit Farming, Moscow region, Ramen's district, Rodniki, 140143 Russian Federation.
Jazyk: angličtina
Zdroj: Acta naturae [Acta Naturae] 2024 Jul-Sep; Vol. 16 (3), pp. 4-17.
DOI: 10.32607/actanaturae.27406
Abstrakt: In this analytical review, we explore the potential impact of the rapid proliferation of artificial intelligence (AI) tools on the biosphere and noosphere, suggesting that the trend may lead to a transformative event that could be termed "Human-AI integration." We argue that this integration could give rise to novel lifeforms, associations, and hierarchies, resulting in competitive advantages and increased complexity of structural organizations within both the biosphere and noosphere. Our central premise emphasizes the importance of human-AI integration as a global adaptive response crucial for our civilization's survival amidst a rapidly changing environment. The convergence may initially manifest itself through symbiotic, endosymbiotic, or other mutualistic relationships, such as domestication, contingent on the rate at which AI systems achieve autonomy and develop survival instincts akin to those of biological organisms. We investigate potential drivers of these scenarios, addressing the ethical and existential challenges arising from the AI-driven transformation of the biosphere and noosphere, and considering potential trade-offs. Additionally, we discuss the application of complexity and the balance between competition and cooperation to better comprehend and navigate these transformative scenarios.
(Copyright ® 2024 National Research University Higher School of Economics.)
Databáze: MEDLINE