Science and certainty
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 99, Heft 1, S. 3-22
ISSN: 1573-0964
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In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 99, Heft 1, S. 3-22
ISSN: 1573-0964
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 11, Heft 3, S. 231-244
ISSN: 1573-0964
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 5, Heft 7-8, S. 296-308
ISSN: 1573-0964
In: Laws and legislation
Evidence and the expert witness -- The breath analysis for alcohol and problems with error -- The poison pill -- House fire #1 -- House fire # 2 -- Slip and fall -- The phenol spill -- Thunderstorm flooding or hedge your bets -- Expert liability -- Summing up, conclusions and appraisals.
In: Scottish studies 8
In: Bulletin of science, technology & society, Band 1, Heft 4, S. 388-398
ISSN: 1552-4183
In: Bulletin of science, technology & society, Band 1, Heft 4, S. 399-416
ISSN: 1552-4183
In: Science and public policy: journal of the Science Policy Foundation, Band 18, Heft 1, S. 9-10
ISSN: 1471-5430
In: Voprosy filosofii: naučno-teoretičeskij žurnal, S. 93-105
In 2016, Hiroaki Kitano proposed that artificial intelligence (AI) will be able to overcome a number of human cognitive limitations that slow down the process of scientific discovery [Kitano 2016 web]. Since then, the odds of AI being awarded the Nobel Prize have been widely discussed, particularly within academic community [Engineering for Research Symposium web 2020]. At the AI Journey 2021 conference, some renowned representatives of four scientific disciplines (physics, mathematics, neurobiology, philosophy) discussed this issue and then co-authored this article [AI 2021 web]. In the first part of our paper, we critically analyze the role of AI technologies in natural science research: how useful they can be for fundamental science, what the potential of AI in natural and exact sciences is, and what principal limitations it has. Another part of our article discusses a counter-question of what science can do for the future research into AI. Today, it is impossible to imagine machine learning without linear algebra, physics of materials, and brain research. All this falls under what is now commonly referred to as AI, a general umbrella term [Russel, Norvig 2021]. Thus, having served the birth of AI once, how can physics, mathematics, and neuroscience serve it today?
In: Special Issue Law and Literature Reconsidered; Studies in Law, Politics and Society, S. 153-172
In: Studies in modern German and Austrian literature Volume 5
In: The annals of the American Academy of Political and Social Science, Band 300, Heft 1, S. 4-12
ISSN: 1552-3349
In: The annals of the American Academy of Political and Social Science, Band 28, Heft 1, S. 28-37
ISSN: 1552-3349