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Andrew Smart
Andrew Smart
Dirección de correo verificada de google.com - Página principal
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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
6842020
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
3492007
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
3192020
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
2712021
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
1412021
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
992021
Bringing the people back in: Contesting benchmark machine learning datasets
E Denton, A Hanna, R Amironesei, A Smart, H Nicole, MK Scheuerman
arXiv preprint arXiv:2007.07399, 2020
902020
Semantics vs. world knowledge in prefrontal cortex
L Pylkkänen, B Oliveri, AJ Smart
Language and Cognitive Processes 24 (9), 1313-1334, 2009
752009
The anterior midline field: Coercion or decision making?
L Pylkkänen, AE Martin, B McElree, A Smart
Brain and language 108 (3), 184-190, 2009
722009
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
702020
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
632023
Touch screen having adaptive input parameter
S Whitlow, W Rogers, J Lancaster, E Robert, A Smart
US Patent App. 12/699,591, 2011
482011
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
372022
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
282020
& 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
18
El arte y la ciencia de no hacer nada
AJ Smart
Clave Intelectual, 2014
172014
Cognitive efficacy estimation system and method
S Mathan, PM Ververs, A Smart
US Patent App. 12/953,763, 2012
172012
Towards an index of cognitive efficacy EEG-based estimation of cognitive load among individuals experiencing cancer-related cognitive decline
S Mathan, A Smart, T Ververs, M Feuerstein
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
172010
Autopilot: The Art & Science of Doing Nothing
A Smart
OR Books, 2013
152013
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
132023
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