Hi! I'm a PhD candidate at the Australian National University. I'm interested in how people and communities who are marginalised by systems—legal systems, systems of government, and socio-technical systems—can regulate the operation of those systems. My PhD research explores 'participation' in the development of AI-enabled systems. I am advised by Professor Alex Zafiroglu. Previously, I worked at Google Research, researching ways to ensure AI-enabled systems are inclusive of diverse languages and dialects. Before that, I worked in strategy consulting in Australia and the UK, and as a human rights lawyer in Australia and Guatemala.
Email: edward.cooper [at] anu.edu.au
Ned Cooper. 2023. How can NLP better serve Indigenous communities? Presentation to the Association of Computational Linguistics (ACL) Special Interest Group on Endangered Languages (SIGEL). Presentation
Skyler Wang*, Ned Cooper*, Margaret Eby, and Eun Seo Jo. 2023. From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT’s Impact through Disruptive Events. Under review. https://arxiv.org/abs/2306.00227
Snehal Prabhudesai*, Ned Cooper*. 2022. The Potential Harms of Algorithmic Hand-offs. Workshop on Human-Machine Collaboration in a Changing World 2022, 1 - 2 December, Paris, France. Abstract Presentation
Julian Vido*, Ned Cooper*. 2022. The Artist Formerly Known As Your Computer: Ensuring Safe and Responsible Human-Machine Collaboration with Automated Media Generation Tools. Workshop on Human-Machine Collaboration in a Changing World 2022, 1 - 2 December, Paris, France. Abstract Presentation
Ned Cooper. 2022. Would the Trees Dim the Lights? Adopting the Intentional Stance for More-Than-Human Participatory Design. In Participatory Design Conference 2022: Volume 2 (PDC 2022 Vol. 2) , August 19-September 1, 2022, Newcastle upon Tyne, United Kingdom. ACM, New York, NY, USA, 5 Pages. https://doi.org/10.1145/3537797.3537799
Ned Cooper, Ellen Broad. 2022. Enabling Participation in the Review of Algorithms: Lessons from Law Reform. Social Responsibility of Algorithms Workshop (SRA '22), 13-17 June 2022, Virtual. Abstract and presentation
Ned Cooper, Tiffanie Horne, Gillian R. Hayes, Courtney Heldreth, Michal Lahav, Jess Holbrook, and Lauren Wilcox. 2022. A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research. In CHI Conference on Human Factors in Computing Systems (CHI '22), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 18 pages. https://doi.org/10.1145/3491102.3517716