| Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing ID Raji, A Smart, RN White, M Mitchell, T Gebru, B Hutchinson, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 937 | 2020 |
| Towards a critical race methodology in algorithmic fairness A Hanna, E Denton, A Smart, J Smith-Loud Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 391 | 2020 |
| Listen to the noise: noise is beneficial for cognitive performance in ADHD G Söderlund, S Sikström, A Smart Journal of Child Psychology and Psychiatry 48 (8), 840-847, 2007 | 376 | 2007 |
| Towards accountability for machine learning datasets: Practices from software engineering and infrastructure B Hutchinson, A Smart, A Hanna, E Denton, C Greer, O Kjartansson, ... Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 355 | 2021 |
| On the genealogy of machine learning datasets: A critical history of ImageNet E Denton, A Hanna, R Amironesei, A Smart, H Nicole Big Data & Society 8 (2), 20539517211035955, 2021 | 205 | 2021 |
| Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction R Shelby, S Rismani, K Henne, AJ Moon, N Rostamzadeh, P Nicholas, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 723-741, 2023 | 172 | 2023 |
| The use and misuse of counterfactuals in ethical machine learning A Kasirzadeh, A Smart Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 134 | 2021 |
| Bringing the people back in: Contesting benchmark machine learning datasets R Denton, A Hanna, R Amironesei, A Smart, H Nicole, MK Scheuerman arXiv preprint arXiv:2007.07399, 2020 | 122 | 2020 |
| Semantics vs. world knowledge in prefrontal cortex L Pylkkänen, B Oliveri, AJ Smart Language and Cognitive Processes 24 (9), 1313-1334, 2009 | 83 | 2009 |
| Participatory problem formulation for fairer machine learning through community based system dynamics D Martin Jr, V Prabhakaran, J Kuhlberg, A Smart, WS Isaac arXiv preprint arXiv:2005.07572, 2020 | 82 | 2020 |
| Healthsheet: development of a transparency artifact for health datasets N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 73 | 2022 |
| The anterior midline field: Coercion or decision making? L Pylkkänen, AE Martin, B McElree, A Smart Brain and language 108 (3), 184-190, 2009 | 73 | 2009 |
| Touch screen having adaptive input parameter S Whitlow, W Rogers, J Lancaster, E Robert, A Smart US Patent App. 12/699,591, 2011 | 50 | 2011 |
| Walking the walk of AI ethics: Organizational challenges and the individualization of risk among ethics entrepreneurs SJ Ali, A Christin, A Smart, R Katila Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 41 | 2023 |
| Extending the machine learning abstraction boundary: A Complex systems approach to incorporate societal context D Martin Jr, V Prabhakaran, J Kuhlberg, A Smart, WS Isaac arXiv preprint arXiv:2006.09663, 2020 | 40 | 2020 |
| From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML S Rismani, R Shelby, A Smart, E Jatho, J Kroll, AJ Moon, N Rostamzadeh Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 35 | 2023 |
| & Barnes, P.(2020, January). Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing ID Raji, A Smart, RN White, M Mitchell, T Gebru, B Hutchinson Proceedings of the 2020 conference on fairness, accountability, and …, 0 | 24 | |
| Cognitive efficacy estimation system and method S Mathan, PM Ververs, A Smart US Patent App. 12/953,763, 2012 | 23 | 2012 |
| Identifying sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction R Shelby, S Rismani, K Henne, A Moon, N Rostamzadeh, P Nicholas, ... arXiv preprint arXiv:2210.05791, 2022 | 22 | 2022 |
| Assessing llms for moral value pluralism N Benkler, D Mosaphir, S Friedman, A Smart, S Schmer-Galunder arXiv preprint arXiv:2312.10075, 2023 | 19 | 2023 |
Alex HannaDistributed AI Research InstituteBestätigte E-Mail-Adresse bei dair-institute.org