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Michael Guckert

Biographic Data

ID7742057
NAMEMichael Guckert
GIVEN NAMESMichael
FAMILY NAMEGuckert
SIGNATUREGUCKERT M
AFFILIATIONSTechnische Hochschule Mittelhessen–University of Applied Sciences, Gießen, Germany
ORCID0000-0003-0523-3295
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2025
H-INDEX0
  • What’s It Like to Trust an LLM

    Open Access•Simon T Power, Neil Urquhart et al.•ARTICLE•IEEE Technology and Society…•2025

  • IEEE Technology and Society Magazine Publication Information

    Open Access•Patrick Kempf Senior, Joanna Gojlik et al.•ARTICLE•IEEE Technology and Society…•2024

  • IEEE Technology and Society Magazine Publication Information

    Open Access•Ketra Schmitt, A Wunsch et al.•ARTICLE•IEEE Technology and Society…•2023

  • The Stuff We Swim in

    Open Access•Simon T Power, Olena Linnyk et al.•ARTICLE•IEEE Technology and Society…•2023

    Recent activity in the field of artificial intelligence (AI) has given rise to large language models (LLMs) such as GPT-4 and Bard. These are undoubtedly impressive achievements, but they raise serious questions about appropriation, accuracy, explainability, accessibility, responsibility, and more. There have been pusillanimous and self-exculpating calls for a halt in development by senior researchers in the field and largely self-serving comment…

  • Trusting Intelligent Machines

    Open Access•Péter András, Lukas Esterle et al.•ARTICLE•IEEE Technology and Society…•2018

    Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha Go Zero [1]) are an impressive example of an artificial intelligence system calculating results that even a human expert for the game can hardly retrace [2]. But this is, quite literally, a toy examp…

No prominent works on this page.

  • Trusting Intelligent Machines

    Open Access•Péter András, Lukas Esterle et al.•ARTICLE•IEEE Technology and Society…•2018

    Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha Go Zero [1]) are an impressive example of an artificial intelligence system calculating results that even a human expert for the game can hardly retrace [2]. But this is, quite literally, a toy examp…

  • IEEE Technology and Society Magazine Publication Information

    Open Access•Ketra Schmitt, A Wunsch et al.•ARTICLE•IEEE Technology and Society…•2023

  • The Stuff We Swim in

    Open Access•Simon T Power, Olena Linnyk et al.•ARTICLE•IEEE Technology and Society…•2023

    Recent activity in the field of artificial intelligence (AI) has given rise to large language models (LLMs) such as GPT-4 and Bard. These are undoubtedly impressive achievements, but they raise serious questions about appropriation, accuracy, explainability, accessibility, responsibility, and more. There have been pusillanimous and self-exculpating calls for a halt in development by senior researchers in the field and largely self-serving comment…

  • IEEE Technology and Society Magazine Publication Information

    Open Access•Patrick Kempf Senior, Joanna Gojlik et al.•ARTICLE•IEEE Technology and Society…•2024

  • What’s It Like to Trust an LLM

    Open Access•Simon T Power, Neil Urquhart et al.•ARTICLE•IEEE Technology and Society…•2025

Computer Science (4 works) · Political science (3 works) · Artificial Intelligence (2 works) · Diverse Scientific and Economic Studies (2 works) · Educational Robotics and Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Human auditory perception and evaluation (2 works) · Sociology (2 works) · World Wide Web (2 works) · Appropriation (1 work)

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