Integrating Fire, Structure and Agent Models. - Alok R. Chaturvedi; Sergei A. Filatyev; Jay P. Gore; Alex Hanna; Jeremy Means; Angela K. Mellema (International Conference on Computational Science (2), 2005)

Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Algorithmically encoded identities: reframing human classification. - Dylan K. Baker; Alex Hanna; Emily Denton (FAT*, 2020)

CtrlZ.AI zine fair: critical perspectives. - Alex Hanna; Emily Denton (FAT*, 2020)

Towards a critical race methodology in algorithmic fairness. - Alex Hanna; Emily Denton; Andrew Smart; Jamila Smith-Loud (FAT*, 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)

Against Scale: Provocations and Resistances to Scale Thinking. - Alex Hanna; Tina M. Park (CoRR, 2020)

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 (FAccT, 2021)

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices. - Milagros Miceli; Tianling Yang; Laurens Naudts; Martin Schuessler; Diana Serbanescu; Alex Hanna (FAccT, 2021)

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Bernard Koch; Emily Denton; Alex Hanna; Jacob G. Foster (NeurIPS Datasets and Benchmarks, 2021)

AI and the Everything in the Whole Wide World Benchmark. - Inioluwa Deborah Raji; Emily Denton; Emily M. Bender; Alex Hanna; Amandalynne Paullada (NeurIPS Datasets and Benchmarks, 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)

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)

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., 2021)

Auto-essentialization: Gender in automated facial analysis as extended colonial project. - Morgan Klaus Scheuerman; Madeleine Pape; Alex Hanna (Big Data Soc., 2021)

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 (CHI Extended Abstracts, 2022)

When is Machine Learning Data Good?: Valuing in Public Health Datafication. - Divy Thakkar; Azra Ismail; Pratyush Kumar; Alex Hanna; Nithya Sambasivan; Neha Kumar 001 (CHI, 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)

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 (AIES, 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 (CHIIR, 2023)

The Role of Expertise in Effectively Moderating Harmful Social Media Content. - Nuredin Ali Abdelkadir; Tianling Yang; Shivani Kapania; Meron Estefanos; Fasica Berhane Gebrekidan; Zecharias Zelalem; Messai Ali; Rishan Berhe; Dylan K. Baker; Zeerak Talat; Milagros Miceli; Alex Hanna; et al. (CHI, 2025)