Data-Driven Discrimination and (Dis)Respect. - Otto Sahlgren (Tethics, 2019)

Algorithmic Fairness and its Limits in Group-Formation. - Otto Sahlgren; Arto Laitinen (Tethics, 2020)

Towards a Conception of Sociotechnical Pathology. - Otto Sahlgren (Tethics, 2021)

AI Systems and Respect for Human Autonomy. - Arto Laitinen; Otto Sahlgren (Frontiers Artif. Intell., 2021)

What's (Not) Ideal about Fair Machine Learning? - Otto Sahlgren (AIES, 2022)

Incommensurability, Incomparability, and Robotic Choices. - Arto Laitinen; Otto Sahlgren (Robophilosophy, 2022)

Multi-Objective Fairness in Team Assembly. - Rodrigo Borges; Otto Sahlgren; Sami Koivunen; Kostas Stefanidis; Thomas Olsson 002; Arto Laitinen (ADBIS (Short Papers), 2023)

Using Fairness Metrics as Decision-Making Procedures: Algorithmic Fairness and the Problem of Action-Guidance. - Otto Sahlgren (EWAF, 2023)

Computational Team Assembly with Fairness Constraints. - Rodrigo Borges; Otto Sahlgren; Sami Koivunen; Kostas Stefanidis; Thomas Olsson 002; Arto Laitinen (CoRR, 2023)

Pitfalls and Tensions in Digitalizing Talent Acquisition: An Analysis of HRM Professionals' Considerations Related to Digital Ethics. - Sami Koivunen; Otto Sahlgren; Saara Ala-Luopa; Thomas Olsson 002 (Interact. Comput., 2023)

When the Ideal Does Not Compute: Nonideal Theory and Fairness in Machine Learning. - Otto Sahlgren (EWAF, 2024)

Action-guidance and AI ethics: the case of fair machine learning. - Otto Sahlgren (AI Ethics, 2025)