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Thilo Hagendorff
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2020 – today
- 2024
- [j16]Thilo Hagendorff:
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. Minds Mach. 34(4): 39 (2024) - [i16]Thilo Hagendorff:
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. CoRR abs/2402.08323 (2024) - [i15]Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff:
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions. CoRR abs/2409.20303 (2024) - 2023
- [j15]Thilo Hagendorff:
AI ethics and its pitfalls: not living up to its own standards? AI Ethics 3(1): 329-336 (2023) - [j14]Thilo Hagendorff, David Danks:
Ethical and methodological challenges in building morally informed AI systems. AI Ethics 3(2): 553-566 (2023) - [j13]Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals. AI Ethics 3(3): 717-734 (2023) - [j12]Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI: a reply to Arandjelović. AI Ethics 3(4): 1043-1047 (2023) - [j11]Thilo Hagendorff, Kristof Meding:
Ethical considerations and statistical analysis of industry involvement in machine learning research. AI Soc. 38(1): 35-45 (2023) - [j10]Dennis Vetter, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Magnus Westerlund, Renee Wurth, Roberto V. Zicari:
Lessons Learned from Assessing Trustworthy AI in Practice. Digit. Soc. 2(3): 35 (2023) - [j9]Thilo Hagendorff, Sarah Fabi, Michal Kosinski:
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT. Nat. Comput. Sci. 3(10): 833-838 (2023) - [i14]Thilo Hagendorff, Sarah Fabi:
Methodological reflections for AI alignment research using human feedback. CoRR abs/2301.06859 (2023) - [i13]Thilo Hagendorff:
Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods. CoRR abs/2303.13988 (2023) - [i12]Thilo Hagendorff:
Deception Abilities Emerged in Large Language Models. CoRR abs/2307.16513 (2023) - [i11]Kristof Meding, Thilo Hagendorff:
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms. CoRR abs/2311.06826 (2023) - 2022
- [j8]Thilo Hagendorff:
Blind spots in AI ethics. AI Ethics 2(4): 851-867 (2022) - [i10]Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI - How AI applications perpetuate discrimination and unfair outcomes against animals. CoRR abs/2202.10848 (2022) - [i9]Sarah Fabi, Thilo Hagendorff:
Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems. CoRR abs/2203.09911 (2022) - [i8]Roberto V. Zicari, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Eleanore Hickman, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth:
How to Assess Trustworthy AI in Practice. CoRR abs/2206.09887 (2022) - [i7]Thilo Hagendorff, Sarah Fabi, Michal Kosinski:
Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5. CoRR abs/2212.05206 (2022) - 2021
- [j7]Thilo Hagendorff:
Forbidden knowledge in machine learning reflections on the limits of research and publication. AI Soc. 36(3): 767-781 (2021) - [j6]Thilo Hagendorff:
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning. Minds Mach. 31(4): 563-593 (2021) - 2020
- [j5]Thilo Hagendorff, Katharina Wezel:
15 challenges for AI: or what AI (currently) can't do. AI Soc. 35(2): 355-365 (2020) - [j4]Thilo Hagendorff:
The Ethics of AI Ethics: An Evaluation of Guidelines. Minds Mach. 30(1): 99-120 (2020) - [j3]Thilo Hagendorff:
Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines. Minds Mach. 30(3): 457-461 (2020) - [i6]Thilo Hagendorff, Kristof Meding:
The Big Picture: Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research. CoRR abs/2006.04541 (2020) - [i5]Thilo Hagendorff:
Ethical behavior in humans and machines - Evaluating training data quality for beneficial machine learning. CoRR abs/2008.11463 (2020) - [i4]Thilo Hagendorff:
AI virtues - The missing link in putting AI ethics into practice. CoRR abs/2011.12750 (2020)
2010 – 2019
- 2019
- [j2]Thilo Hagendorff:
From privacy to anti-discrimination in times of machine learning. Ethics Inf. Technol. 21(4): 331-343 (2019) - [i3]Thilo Hagendorff:
The Ethics of AI Ethics - An Evaluation of Guidelines. CoRR abs/1903.03425 (2019) - [i2]Angela Daly, Thilo Hagendorff, Li Hui, Monique Mann, Vidushi Marda, Ben Wagner, Wei Wang, Saskia Witteborn:
Artificial Intelligence Governance and Ethics: Global Perspectives. CoRR abs/1907.03848 (2019) - [i1]Thilo Hagendorff:
Forbidden knowledge in machine learning - Reflections on the limits of research and publication. CoRR abs/1911.08603 (2019) - 2017
- [j1]Thilo Hagendorff:
Animal Rights and Robot Ethics. Int. J. Technoethics 8(2): 61-71 (2017)
Coauthor Index
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