Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda (2022), Fairness in agreement with European values: An interdisciplinary perspective on ai regulation, In AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society p.107-118, ACM.

Johanne R. Trippas, David Maxwell (2022), First Early Career Researchers Roundtable for Information Access Research, In CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval p.369-370, ACM.

Alexander Erlei, Richeek Das, Lukas Meub, Avishek Anand, Ujwal Gadiraju (2022), For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems, In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, ACM.

Lixia Chu, Jeroen Nelen, Lukas Höller, Hülya Lasch, Dirk Schubert, Carola Hein, Christoph Lofi (2022), Framework of visualising and analysing urban transformation features responding to Covid 19 pandemic, Living Planet Symposium 2022.

G.M. Allen, Andrea Hu, Ujwal Gadiraju (2022), Gesticulate for Health’s Sake! Understanding the Use of Gestures as an Input Modality for Microtask Crowdsourcing, Jane Hsu, Ming Yin (Eds.), In HCOMP 2022 - Proceedings of the 10th AAAI Conference on Human Computation and Crowdsourcing Volume 10 p.14-26.

Ji Youn Jung, Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju (2022), Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing, Cliff Lampe, Simone Barbosa (Eds.), In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, ACM.

Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula (2022), Helping Voice Shoppers Make Purchase Decisions, In CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, ACM.

Ali Soleymani, Maarten de Laat, L.C.M. Itard, M.M. Specht (2022), How Networked learning can facilitate professional development?, J. Jaldemark, M. Håkansson Lindqvist, P. Mozelius (Eds.), In Proceedings for the Thirteenth International Conference on Networked Learning 2022 p.229-236.

Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon (2022), How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?, In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, ACM.

Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux (2022), Human-in-the-Loop Rule Discovery for Micropost Event Detection, In IEEE Transactions on Knowledge and Data Engineering Volume 35 p.8100-8111.