Algorithmic Harm and AI Governance: An Intersectional Feminist Analysis of the EU and Brazil

Event Description

Artificial intelligence is reshaping consequential decisions, from access to employment to eligibility for public services. But as these systems are increasingly deployed across several domains, it is increasingly important to interrogate who they harm and whether legal frameworks are keeping pace. A growing body of evidence shows that AI systems can produce outcomes that harm women, yet it remains unclear whether existing approaches to AI governance can adequately respond to these harms.

In this talk, through an intersectional feminist lens, Oludolapo Makinde examines how the European Union and Brazil are approaching the governance of AI systems and whether these frameworks adequately address harms faced by those whose exposure to algorithmic harm is shaped by gender, race, class, and other intersecting inequalities. She also discusses what an intersectional approach to AI governance might look like.

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Speaker

Oludolapo Makinde is a PhD Candidate at the Peter A. Allard School of Law and a Liu Scholar at the School of Public Policy and Global Affairs. Her research investigates the practicability of adopting an integrated approach which fuses corporate governance and corporate social responsibility measures with artificial intelligence tools to effectively tackle corruption involving Canadian multinationals doing business in the Global South. 

In addition to her doctoral research, Oludolapo engages with the Vancouver community on issues relating to anti-Black racism. In particular, as a 2019 UBC Sustainability Scholar under the auspices of the Sustainability Scholars’ Program, she investigated and identified key actions needed to address anti-Black racism in Vancouver. Her report which details her findings and recommendations drawn from literature and stakeholders, has contributed to ongoing municipal action on the subject.