Afro Feminist Data Governance principles are anchored on a feminist methodology that takes on a conceptual len or framework as seen below

1. The Seven Guiding Principles of Data Feminism by Catherine D’Ignazio and Lauren F Klein examine power, challenge power, elevate emotion and embodiment, rethink binaries and hierarchies, embrace pluralism, consider context, and make labour visible.^[1]
2. The Feminist principles of the Internet use a gendered lens to examine privacy and data, access, information, usage, resistance, movement building, governance, economy, environment, open source, amplify, expression, consent, anonymity and violence.
3. Intersectionality: Kimberle Crenshaw, Patricia Hill Collins and Sylvia Tamale all present an understanding of social interactions with technology that consider multiple inequalities and locating technology in the context of systematic oppression including racism, sexism, colonialism, classism, and patriarchy.
4. Data Justice by Linnet Taylor; Data justice Lab and Global Data justice a way to centre marginalised groups in datafied societies to recognise opportunities and respond to harms emerging from use of data in society that may harm groups in society.
5. Principles of Afro-feminist AI Data  by Bobina Zulfa and Amber Singh from Pollicy is a guide to understanding Afro-feminism to imagine creative frameworks of inquiry outside dominant ways of knowing to find meaningful and contextually relevant ways of addressing the marginalisation of African women in relation to the development and deployment of AI systems across the African continent. Principle solutions in this guide include intersectionality, marginality, risk and impact assessment, trust ethics and data justice.
6. The Feminist Methodology  assessing AI, privacy and data protection is a framework by Chenai Chair from My Data Rights. The framework presents a feminist approach by unpacking the spectrum of issues and opportunities from technology. By using gender inequality as a conceptual lens, one can ask questions of who is being represented and by whom; whose interests are being centred; why this discussion is important and how it is taking place, which allows for criticism of power and how data itself can be used to ensure justice in society.

^[1] D’ignazio, Catherine, and Lauren F. Klein. Data feminism. MIT press, 2023.