Kristian Gonzalez Barman

Pawlowski, Pawel, and Kristian Gonzalez Barman. “Fortifying Trust : Can Computational Reliabilism Overcome Adversarial Attacks?” PHILOSOPHY & TECHNOLOGY, vol. 38, no. 1, 2025, doi:10.1007/s13347-025-00851-2.

Gonzalez Barman, Kristian, et al. “Reinforcement Learning from Human Feedback in LLMs : Whose Culture, Whose Values, Whose Perspectives?” PHILOSOPHY & TECHNOLOGY, vol. 38, no. 2, 2025, doi:10.1007/s13347-025-00861-0.

Gonzalez Barman, Kristian, et al. “Beyond Transparency and Explainability : On the Need for Adequate and Contextualized User Guidelines for LLM Use.” ETHICS AND INFORMATION TECHNOLOGY, vol. 26, no. 3, 2024, doi:10.1007/s10676-024-09778-2.

Gonzalez Barman, Kristian, et al. “Towards a Benchmark for Scientific Understanding in Humans and Machines.” MINDS AND MACHINES, vol. 34, no. 1, 2024, doi:10.1007/s11023-024-09657-1.

van Eck, Dingmar, and Kristian Gonzalez Barman. “Technology-Driven Causal Inference : Prospects and Challenges.” The Routledge Handbook of Causality and Causal Methods, edited by Phyllis Illari and Federica Russo, Routledge, 2024, pp. 342–52, doi:10.4324/9781003528937-38.