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Beyond Science: AI Models, Genetic Privacy, Research Under Siege, and the Future of Expertise
Neher Aseem Parimoo,
Cinthya Souza Simas,
Sara Tóth Martínez,
Gerhard Steinmann,
Roland Mertelsmann
Affiliation: Journal of Science, Humanities, and Arts
Keywords: Large AI Models; Genetic data privacy; Science policy and funding; Academic entrepreneurship.
Categories: News and Views
DOI: 10.17160/josha.12.3.1052
Languages: English
This paper presents JOSHA’s curated synthesis of recent scientific, technological, and socio-political articles offering readers a comprehensive overview of key debates and emerging insights across disciplines. Topics range from biological aging patterns, data privacy risks in the context of genetic information and corporate bankruptcy, and the socio-cultural framing of large AI models, to policy-driven tensions between science and governance. Additionally, the collection explores challenges in fostering deep-tech entrepreneurship among PhDs, novel immunological findings on food tolerance, and reflections on societal dynamics in Germany. The compilation also includes critical analysis of artificial intelligence's role in education, law, and academic institutions, as well as discussions on AI's potential in countering misinformation. By providing concise summaries and critical perspectives, this summary aims to facilitate interdisciplinary dialogue and support scholars, policymakers, and practitioners in navigating complex contemporary issues at the intersection of science, technology, society, and governance.