Donna Haraway

Donna Haraway is a philosopher, feminist theorist, and historian of science whose work has explored the entanglements between technology, biology, politics, and knowledge production for over four decades. She is Professor Emerita in the History of Consciousness and Feminist Studies departments at the University of California, Santa Cruz.

Haraway's intellectual career is difficult to assign to a single discipline because her project is precisely to question disciplinary boundaries. Her 1985 essay "A Cyborg Manifesto" challenged the stable categories of human, animal, and machine and became a foundational text of feminist science and technology studies. Her 1988 essay "Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective" made the philosophical argument that has most directly shaped how AI ethics now frames the problem of training data bias: there is no view from nowhere. All knowledge is produced from a particular location, by a particular observer, under particular historical and social conditions.

Her subsequent books, including Primate Visions (1989), Modest Witness (1997), and Staying with the Trouble (2016), extended her critique of objectivity claims and universal knowledge across biology, science studies, and the philosophy of technology. Her thinking has been particularly influential in feminist science and technology studies, a field that has contributed more than most to the current discourse on AI bias, data ethics, and the politics of algorithmic systems.

She received a Lifetime Achievement Award from the Society for Social Studies of Science and has received honorary degrees from multiple institutions.

Haraway began her academic life as a biologist, completing a PhD at Yale University on developmental biology, and that grounding in the empirical sciences gives her later philosophical work an unusual texture. She is rigorous about how scientific knowledge is actually produced because she has produced it. Her decades of teaching at UC Santa Cruz, in the History of Consciousness program, trained a generation of scholars now working in feminist STS, post-humanism, multi-species ethnography, and critical AI studies. Many of the contemporary scholars whose work shapes current AI ethics discourse, including those whose research on data, power, and algorithmic harm has become canonical, trace intellectual lineage to her. The AI First Principles' first principle that AI inherits messiness rests on philosophical ground she did much of the work of building.

Donna Haraway's "Situated Knowledges" provides the philosophical foundation for AI Inherits Messiness. The treatise cites her work directly for the argument that all knowledge, including the data that AI systems are trained on, is produced from a particular perspective and carries the assumptions of its context.

This is not a methodological footnote; it is a foundational claim. If there is no view from nowhere, then there is no dataset from nowhere. Every training set was curated by someone, under particular conditions, in a particular historical moment, and reflects what was considered normal, correct, or worth measuring at that time. AI systems trained on that data are not discovering universal truths; they are learning the patterns of a specific time, place, and power structure. Haraway's philosophy is the reason why "clean data" is insufficient as a solution to bias: the question is not whether the data is clean but whose reality it reflects.