Computer Scientist, Researcher, and Antiracist Hacker
As a dedicated researcher at the intersection of ethics and artificial intelligence, I am currently deepening my expertise through a Master's degree in Ethics in Computer Vision at Universidade Estadual de Campinas (Unicamp), one of Latin America’s leading institutions. Under the guidance of Professor Sandra Avila, my research focuses on addressing and mitigating biases in facial recognition technologies.
My academic work has led to the publication of a book in Portuguese, aimed at making algorithms accessible to a broader audience, and the co-authorship of a chapter titled Mitigating Bias in Machine Learning, alongside esteemed colleagues from Berkeley, Stanford, and Georgia Tech. This work critically examines the structural injustices embedded in machine learning and offers strategies for bias reduction.
I adopt a transdisciplinary approach, combining principles of fairness, ethics, machine learning, and activism to reshape the development of AI technologies. My work aims to challenge the prevailing narratives from major tech conglomerates, advocating for more equitable and inclusive technology solutions.
Beyond academia, I serve on TikTok’s Security Council in Brazil and founded Instituto da Hora, which champions digital rights for Brazil’s black and indigenous communities. I also advise the Brazilian Presidency on technology and AI, leveraging my role as a Ford Foundation Global Fellow to bridge the gap between academia and civil society, with a focus on combating racial biases in AI.
My collaborations extend to cultural institutions such as the Museu da Língua Portuguesa and the São Paulo Biennial, where I explore the intersections of art, AI, and systemic racism. I also contribute to Chatham House’s Global Council on Responsible AI, bringing a critical perspective on the global governance of AI.
Looking ahead, I am committed to fostering collaborations that challenge the boundaries of technology and society, striving for a future where innovation and ethical responsibility coexist.
Science and education, computational thinking, artificial intelligence, digital security, algorithmic racism, technologies are not neutral, scientific dissemination, data and privacy....