Thilo Hagendorff

Orcid: 0000-0002-4633-2153

According to our database1, Thilo Hagendorff authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review.
Minds Mach., December, 2024

A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions.
CoRR, 2024

2023
Lessons Learned from Assessing Trustworthy AI in Practice.
Digit. Soc., December, 2023

Speciesist bias in AI: a reply to Arandjelović.
AI Ethics, November, 2023

Ethical and methodological challenges in building morally informed AI systems.
AI Ethics, May, 2023

Ethical considerations and statistical analysis of industry involvement in machine learning research.
AI Soc., February, 2023

AI ethics and its pitfalls: not living up to its own standards?
AI Ethics, February, 2023

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT.
Nat. Comput. Sci., 2023

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms.
CoRR, 2023

Deception Abilities Emerged in Large Language Models.
CoRR, 2023

Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods.
CoRR, 2023

Methodological reflections for AI alignment research using human feedback.
CoRR, 2023

Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals.
AI Ethics, 2023

2022
Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5.
CoRR, 2022

How to Assess Trustworthy AI in Practice.
CoRR, 2022

Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems.
CoRR, 2022

Blind spots in AI ethics.
AI Ethics, 2022

2021
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning.
Minds Mach., 2021

Forbidden knowledge in machine learning reflections on the limits of research and publication.
AI Soc., 2021

2020
Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.
Minds Mach., 2020

The Ethics of AI Ethics: An Evaluation of Guidelines.
Minds Mach., 2020

AI virtues - The missing link in putting AI ethics into practice.
CoRR, 2020

Ethical behavior in humans and machines - Evaluating training data quality for beneficial machine learning.
CoRR, 2020

The Big Picture: Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research.
CoRR, 2020

15 challenges for AI: or what AI (currently) can't do.
AI Soc., 2020

2019
From privacy to anti-discrimination in times of machine learning.
Ethics Inf. Technol., 2019

Artificial Intelligence Governance and Ethics: Global Perspectives.
CoRR, 2019

2017
Animal Rights and Robot Ethics.
Int. J. Technoethics, 2017


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