Virtual Algorithms 101 held in April 2021 featured internationally renowned experts working to achieve inclusive algorithms that upturn the current path of Automated Decision-Making (ADM). The series established the landscape of gender bias in ADM, highlighting with real life examples, and sharing best practices and innovative tools not only to mitigate but to correct gender and racias bias in AI & ADM.
Why and where can algorithms be gender biased? What practical tools and solutions can be used to mitigate and proactively correct for real life gender biases in AI? With the explosion of new technologies and the data revolution, what happens next? How can we use a human rights framework to ensure inclusion and gender equality in algorithms in the future we create? What is a feminist vision for an inclusive digitial future?
What would feminist and inclusive data collection look like Before, During, After data is gathered? What methodologies exist to create Feminist data collection? How could governments (and other actors) ensure / facilitate so that this gender transformative approach can be mainstreamed?
With Nuria Oliver (Commissioner for the President of the Valencian Region in Spain on AI and Data Science against COVID-19, Co-Founder and Vice-President of ELLIS, the European Laboratory for Learning and Intelligent Systems); Lauren Klein (co-author, Data Feminism); Emily Courey-Pryor (Executive Director, Data2x ) and Katie Clancy (Networked Economies, International Development Research Centre, Canada).
What are the most current technical and design approaches to unbiasing algorithms? What methodologies and environments are needed to mitigate bias? What would algorithms or Automated Decision-Making systems that actively correct for bias (rather than only mitigate bias) look like?
With Nyalleng Moorosi (Google AI); Elisa Celis (Professor of Data Science at Yale University); and Paola Villarreal (Head of Data Science, National Council for Science and Development, Mexico).
For the public & private sector on the sidelines of the UN Business & Human Rights Forum: How can private and public sector AI be leveraged to ensure AI and ADM are unbiased? How can gender- responsive public procurement be used to incentivise inclusion and influence of feminists in the conception, budgeting, design, deployment, and monitoring of AI & ADM systems?
With Helani Galpaya (CEO of @LIRNEasia) & Carina Lopes (Head of Digital Future Society Think Tank)