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Feminist AI 101: Concepts and tools in ethical artificial intelligence for social inclusion and development

Training date
Registration deadline

Learn the basics, gain skills, and build confidence to engage in social impact projects with machine learning components! If you work in gender & social inclusion support, proposal development, program design, backstopping, and other non-technical areas, this training is for you. In this 5-day interactive online course, we will learn how machine learning algorithms operate, review development use cases, and explore challenges around bias, ethics, and inclusion. We will finish with best practices and examples of harnessing the power of machine learning for gender equity and social inclusion. This course will empower you to represent gender equality, social inclusion, diversity, and equity concerns and propose solutions in machine learning discussions in your organization.

Fee information

We offer a tiered fee scale to make the training accessible to individuals not backed by heavily resourced organizations. Tier 1: $850 for institutions with annual budgets of greater than $50 million USD *Early registration discount through September 9. Use code EARLY001. Applicable to Tier 1 only. Tier 2: $725 for individuals who are consultants and do not meet Tier 3 or 4 eligibility Individuals who work for organizations with an annual budget that is less than $50 million USD a year . Use discount code MACHINE2 *Early registration discount through September 9. Use code EARLY002. Applicable to Tier 2 only. Tier 3: $385 for early career professionals, such as students or freelancers who are making a career transition. Limit 1-2 per training. Email for discount code. Tier 4: $150 for individuals who are from a low- or middle-income country as designated by The World Bank and who meet one of the of the following criteria: (1) Are self-employed and earn less than $45,000 USD a year (2) Work for organizations with a budget of less than $500,000 USD a year . Limit 1-2 per training.. Limit 1-2 per training. Email for a discount code.

How to Register

Register online at