Conference paper by Tomoko Komatsu, Marisela Gutierrez Lopez, et al. Presented at the11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (NordiCHI 2020). Abstract: In the current climate of . . .
Conference paper by Jacob Dexe, Ulrik Franke, Anneli Avatare Nöu and Alexander Rad. Presented at the 2020 International Conference on Human-Computer Interaction: Artificial Intelligence in HCI. Abstract: In the past . . .
Conference paper by Ville Vakkuri, Kai-Kristian Kemell, Marianna Jantunen and Pekka Abrahamsson. Presented at the 21st International Conference on Agile Software Development, XP 2020. Abstract: Artificial Intelligence (AI) solutions are . . .
Conference paper by Edward F. Melcer, James Ryan, Nick Junius, Max Kreminski, et al.Presented at the 2020 CHI Conference on Human Factors in Computing Systems. Abstract: Concepts utilizing applied ethics, . . .
Conference Paper by Ryan Blake Jackson, Tom Williams and Nicole M. Smith. Presented at the 15th ACM/IEEE International Conference on Human-Robot Interaction, 2020. Abstract: A key capability of morally competent . . .
Conference Paper by Tom Williams, Qin Zhu and Daniel Grollman. Presented at EAAI-20: The 10th Symposium on Educational Advances in Artificial Intelligence. Abstract: We propose an experimental ethics-based curricular module . . .
Conference paper by Daniel Schiff, Justin Biddle, Jason Borenstein and Kelly Laas. Presented at the 2020 AAAI/ACM Conference on AI, Ethics, and Society. Abstract: Since 2016, more than 80 AI . . .
Conference paper by Debjani Saha, Candice Schumann, et al. Presented at the 2020 AAAI/ACM Conference on AI, Ethics, and Society. Abstract: Bias in machine learning has manifested injustice in several . . .
Conference paper by Abeba Birhane and Jelle van Dijk. Presented at the 2020 AAAI/ACM Conference on AI, Ethics, and Society. Abstract: The ‘robot rights’ debate, and its related question of . . .
Conference paper by Reuben Binns. Presented at the 2018 Conference on Fairness, Accountability, and Transparency (FAT*) Abstract: What does it mean for a machine learning model to be ‘fair’, in . . .
Conference paper by Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng and Olga Russakovsky. Presented at the 2020 Conference on Fairness, Accountability, and Transparency. Abstract: Computer vision technology is being . . .
Conference paper by Jessica Morley, Luciano Floridi, Libby Kinsey and Anat Elhalal. Presented at AI for Social Good workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) . . .