Impossible Futures Lab

Publications

2023

Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI.

Hubert Dariusz Zając, Natalia Rozalia Avlona, Finn Kensing, Tariq Osman Andersen, and Irina Shklovski

In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’23). Association for Computing Machinery, New York, NY, USA, 351–362. https://doi.org/10.1145/3600211.3604766

Sensing Care Through Design: A Speculative Role-play Approach to “Living with” Sensor-supported Care Networks.

Sonja Rattay, Robert Collins, Aditi Surana, Youngsil Lee, Yuxi Liu, Andrea Mauri, Lachlan D Urquhart, John Vines, Cara Wilson, Larissa Pschetz, Marco C. Rozendaal, and Irina Shklovski

In Proceedings of the 2023 ACM Designing Interactive Systems Conference (DIS ’23). Association for Computing Machinery, New York, NY, USA, 1660–1675. https://doi.org/10.1145/3563657.3596066

Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance.

Mirabelle Jones, Christina Neumayer, and Irina Shklovski

In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 654, 1–24. https://doi.org/10.1145/3544548.3580885

2022

“Artificial Intimacy: An Exploration of the Personal and Intimate in Natural Language Processing Models.”

Jones, Mirabelle, et al.

Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference.

2021

“Can Machine Learning be Moral?.”

Sicart, Miguel, Irina Shklovski, and Mirabelle Jones

arXiv preprint arXiv:2201.06921