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2020 – today
- 2023
[c13]Harry H. Jiang
, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru:
AI Art and its Impact on Artists. AIES 2023: 363-374- [c12]Christine Pinney, Amifa Raj, Alex Hanna, Michael D. Ekstrand:
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access. CHIIR 2023: 269-279 - [i11]Christine Pinney, Amifa Raj, Alex Hanna, Michael D. Ekstrand:
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access. CoRR abs/2301.04780 (2023) - 2022
- [j5]Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna:
Documenting Data Production Processes: A Participatory Approach for Data Work. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-34 (2022) - [c11]Noopur Raval, Rida Qadri, Richmond Y. Wong, Tamara Kneese, Alex Hanna:
Considerations for Building Solidarity among Academic and Tech Workers: Thinking through access, positionality and limits to collective action. CHI Extended Abstracts 2022: 153:1-153:3 - [c10]Divy Thakkar, Azra Ismail, Pratyush Kumar, Alex Hanna, Nithya Sambasivan, Neha Kumar:
When is Machine Learning Data Good?: Valuing in Public Health Datafication. CHI 2022: 322:1-322:16 - [i10]Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna:
Documenting Data Production Processes: A Participatory Approach for Data Work. CoRR abs/2207.04958 (2022) - 2021
- [j4]Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole:
On the genealogy of machine learning datasets: A critical history of ImageNet. Big Data Soc. 8(2): 205395172110359 (2021) - [j3]Morgan Klaus Scheuerman, Madeleine Pape, Alex Hanna:
Auto-essentialization: Gender in automated facial analysis as extended colonial project. Big Data Soc. 8(2): 205395172110537 (2021) - [j2]Morgan Klaus Scheuerman, Alex Hanna, Emily Denton:
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 317:1-317:37 (2021) - [j1]Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna:
Data and its (dis)contents: A survey of dataset development and use in machine learning research. Patterns 2(11): 100336 (2021) - [c9]Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna:
Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices. FAccT 2021: 161-172 - [c8]Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell:
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT 2021: 560-575 - [c7]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. NeurIPS Datasets and Benchmarks 2021 - [c6]Inioluwa Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, Amandalynne Paullada:
AI and the Everything in the Whole Wide World Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i9]Morgan Klaus Scheuerman, Emily Denton, Alex Hanna:
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. CoRR abs/2108.04308 (2021) - [i8]Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna:
AI and the Everything in the Whole Wide World Benchmark. CoRR abs/2111.15366 (2021) - [i7]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR abs/2112.01716 (2021) - 2020
- [c5]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. AIES 2020: 117-123 - [c4]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a critical race methodology in algorithmic fairness. FAT* 2020: 501-512 - [c3]Dylan K. Baker, Alex Hanna, Emily Denton:
Algorithmically encoded identities: reframing human classification. FAT* 2020: 681 - [c2]Alex Hanna, Emily Denton:
CtrlZ.AI zine fair: critical perspectives. FAT* 2020: 686 - [i6]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. CoRR abs/2002.03256 (2020) - [i5]Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman:
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. CoRR abs/2007.07399 (2020) - [i4]Alex Hanna, Tina M. Park:
Against Scale: Provocations and Resistances to Scale Thinking. CoRR abs/2010.08850 (2020) - [i3]Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell:
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR abs/2010.13561 (2020) - [i2]Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna:
Data and its (dis)contents: A survey of dataset development and use in machine learning research. CoRR abs/2012.05345 (2020)
2010 – 2019
- 2019
- [i1]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR abs/1912.03593 (2019)
2000 – 2009
- 2005
- [c1]Alok R. Chaturvedi, Sergei A. Filatyev, Jay P. Gore, Alex Hanna, Jeremy Means, Angela K. Mellema:
Integrating Fire, Structure and Agent Models. International Conference on Computational Science (2) 2005: 695-702
Coauthor Index
aka: Emily Denton
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