This maxim represents particular danger to women and girls of the Global South, historically marginalized and systematically excluded from technology wielding, decision-making, or multiple opportunities to participate in creating their own unique solutions.
This chapter explores the ethics, definitions, and metrics of conversations on fairness, and explores how even when models take these into account, how they are deployed and used in the real world matters just as much.
Algorithms are a set of instructions that determine how programs read, collect, process, and analyze data to generate an output. Intentionally or unintentionally, bias can be introduced at any stage of this process.
In this chapter, we explore potential directions to advance scholarship on debiasing AI, and more importantly, applying feminist approaches and methodologies to how AI systems are designed, created, deployed, and governed.
The African continent has seen the growth of a number of high-impact innovations across several domains that are leveraging emerging technologies to solve pressing problems, and Artificial Intelligence (AI) is a major driver for these innovations.
Regulations for public procurement of AI systems and new technology for managing and automating public procurement are unfolding together, guided by the need to make public services more efficient, competitive, transparent and accountable.
by Renata Avila, Elisa Celis, Caitlin Kraft-Buchman, Nuria Oliver, and Nanjira Sambuli
Published: Sep 13, 2021
What’s next for Feminist approaches to AI? We explore practical next steps for key actors in ensuring that AI doesn’t embed bias, and can instead be positioned to overcome bias and help to realize a bountiful, equitable future.