AI in anthropology

Abstract (English)

Artificial intelligence (AI) has emerged as a transformative tool in evaluating the long-term impacts of science in general. The integration of AI technology into anthropology impact assessment allows for a nuanced analysis of how anthropology activities influence various socio-economic, biological and other factors. Recent studies indicate that AI can significantly enhance understanding by processing vast amounts of data to reveal patterns and forecast future trends in anthropology-related impacts on scientific results and communities. Applications of AI Models Enhancing Decision-Making Processes AI applications in anthropology impact evaluation provide valuable insights that aid scientists in making informed decisions. By leveraging algorithms, scientists can analyze historical data and predict demand, leading to better resource allocation and scientific engagement strategies. Sustainability Monitoring AI also plays a pivotal role in promoting sustainable scientific practices. To fully harness the potential of AI in science impact evaluation, further research is necessary to bridge existing gaps in knowledge and application. This includes developing standardized methodologies for assessing AI effectiveness in different scientific fields and exploring innovative AI technologies that could redefine tra ditional scientific approaches. Collaborative efforts among academic researchers, industry practitioners, and policymakers are essential to establish comprehensive frameworks that align AI applications with sustainable scientific goals.