Towards a feints framework for AI development: from principles to practice

This article is a practical approach, with a feminist perspective and located in Latin America, to the development of Artificial Intelligence (AI). Is it possible to develop AI that does not reproduce logics of oppression? To answer this question, we focus on the power relations immersed in the field of AI and make an interpretative analysis of the day- to-day experiences of seven women working in some field of AI or data science in the region, in dialogue with different statements of feminist principles and guidelines for the development and deployment of digital technologies.

The narrative order of the document responds to the most relevant practical principles identified, as follows: 1. state the scope and limitations of this research; 2. how we understand the field of AI and how is the participation from Latin America in the scenarios of knowledge production in this field; 3. discrimination problems associated with the way the field of AI is currently configured and alternative proposals from feminist practices; 4. alternative proposals for the careful management of data, and to promote its auditability and reuse, from a feminist perspective; 5. practical proposals for the development of an AI that does not reproduce logics of oppression; 6. as a conclusion, a basic guide of questions and practices for AI development. Continue reading here.

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