Alex Hanna

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 29

Top Topics

Subset Selection

Machine Learning

Current Practices

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

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)
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)
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 (2023)
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) (2022)
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)
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)
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 (2022)
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) (2022)
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)
Morgan Klaus Scheuerman, Madeleine Pape, Alex Hanna
Auto-essentialization: Gender in automated facial analysis as extended colonial project. Big Data Soc. 8 (2) (2021)
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna
AI and the Everything in the Whole Wide World Benchmark. CoRR (2021)
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) (2021)
Morgan Klaus Scheuerman, Emily Denton, Alex Hanna
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. CoRR (2021)
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) (2021)
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR (2021)
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)
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) (2021)
Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna
Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices. FAccT (2021)
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)
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 (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. AIES (2020)
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. CoRR (2020)
Alex Hanna, Emily Denton
CtrlZ.AI zine fair: critical perspectives. FAT* (2020)
Dylan Baker, Alex Hanna, Emily Denton
Algorithmically encoded identities: reframing human classification. FAT* (2020)
Alex Hanna, Tina M. Park
Against Scale: Provocations and Resistances to Scale Thinking. CoRR (2020)
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 (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a critical race methodology in algorithmic fairness. FAT* (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR (2019)
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)