Alex Hanna

According to our database, Alex Hanna authored at least 20 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access.

Christine Pinney, Amifa Raj, Alex Hanna, Michael D. Ekstrand

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

AI Art and its Impact on Artists.

Harry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Documenting Data Production Processes: A Participatory Approach for Data Work.

Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna

Proc. ACM Hum. Comput. Interact., 2022

When is Machine Learning Data Good?: Valuing in Public Health Datafication.

Divy Thakkar, Azra Ismail, Pratyush Kumar, Alex Hanna, Nithya Sambasivan, Neha Kumar

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Considerations for Building Solidarity among Academic and Tech Workers: Thinking through access, positionality and limits to collective action.

Noopur Raval, Rida Qadri, Richmond Y. Wong, Tamara Kneese, Alex Hanna

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Auto-essentialization: Gender in automated facial analysis as extended colonial project.

Morgan Klaus Scheuerman, Madeleine Pape, Alex Hanna

Big Data Soc., July, 2021

On the genealogy of machine learning datasets: A critical history of ImageNet.

Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole

Big Data Soc., July, 2021

Data and its (dis)contents: A survey of dataset development and use in machine learning research.

Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna

Patterns, 2021

Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development.

Morgan Klaus Scheuerman, Alex Hanna, Emily Denton

Proc. ACM Hum. Comput. Interact., 2021

AI and the Everything in the Whole Wide World Benchmark.

Inioluwa Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, Amandalynne Paullada

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research.

Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices.

Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.

Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Against Scale: Provocations and Resistances to Scale Thinking.

Alex Hanna, Tina M. Park

CoRR, 2020

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets.

Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman

CoRR, 2020

Towards a critical race methodology in algorithmic fairness.

Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud

Proceedings of the FAT* '20: Conference on Fairness, 2020

CtrlZ.AI zine fair: critical perspectives.

Alex Hanna, Emily Denton

Proceedings of the FAT* '20: Conference on Fairness, 2020

Algorithmically encoded identities: reframing human classification.

Dylan K. Baker, Alex Hanna, Emily Denton

Proceedings of the FAT* '20: Conference on Fairness, 2020

Diversity and Inclusion Metrics in Subset Selection.

Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2005

Integrating Fire, Structure and Agent Models.

Alok R. Chaturvedi, Sergei A. Filatyev, Jay P. Gore, Alex Hanna, Jeremy Means, Angela K. Mellema

Proceedings of the Computational Science, 2005