Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Filosofické problémy nanotechnologií

Ontologicko-systémová východiska a etické implikace

Bibliographic Data

ID21665945
AuthorsVít Bartoš (Technical University of Liberec), Michal Trčka (0000-0003-4846-7630, Technical University of Liberec)
Year2022
Volume44
Issue2
Pages169-198
Publication date2022-12-08
Open AccessYes
TypeARTICLE
VenueTeorie vědy / Theory of Science (JOURNAL)
Journal identifiersISSN: 1210-0250 • E-ISSN: 1804-6347
PublisherInstitute of Philosophy of the Czech Academy of Sciences (PUBLISHER)
DOI10.46938/tv.2022.532
OpenAlexW4282839985
LanguageCS
References cited1

From the perspective of philosophy of science and technologies, we firstly attend to the issue of the role of nanotechnologies within the evolution of technologies. We recognize their utmost importance in the respect that they are technologies of life itself. We further explain that the nano-level is the domain of intersection of the rules of quantum physics and traditional Newtonian physics. This is our starting point from which we discuss the issue of conditions under which minimizing things also changes their functional essence. We use the example of the Drexler vs. Smalley debate to demonstrate the paradigmatic incomparability of the two perspectives and the physical-chemical and engineering-related limits of nanotechnologies. We discuss to what extent are the dangers and ethical implications emerging from Drexler’s contemplations real, be it what he calls the “grey goo” problem or the issues of molecular production. We regard certain problems linked to synthetic biology as more serious. We conclude our text with the consideration that the human civilization should think of the possibilities of nanotechnologies in the development of life as an existential challenge

Civilization · Emerging technologies · Engineering ethics · Epistemology · Existentialism · Political science · Sociology · Computer Science · Engineering · Law · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Artificial Intelligence

  • Highly accurate protein structure prediction with AlphaFold

    Open Access•John Jumper, Richard Evans et al.•Nature•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae