The algorithmic lens
Generative Artificial Intelligence, gender bias, and the struggle for a plurality of narratives in audiovisual media
Keywords:
Generative Artificial Intelligence. Gender; Audiovisual. Algorithmic Bias. Feminist CritiqueAbstract
This opinion piece discusses the impacts of Generative Artificial Intelligence (GAI) on contemporary audiovisual production, focusing on gender dynamics and representation. Starting from the premise that technology is not neutral, it argues that large language models and image and video generators tend to perpetuate historical stereotypes, masculinizing prestigious positions and hypersexualizing female bodies, in dialogue with feminist film criticism and social studies of technology. It argues that this bias stems from a specific socio-technical architecture, composed of unequal databases and homogeneous development teams, and proposes three paths towards inclusive AI: bias auditing as assisted authorship, ethical pluralization of databases, and transparency as a principle of use.
References
BENDER, Emily M.; GEBRU, Timnit; McMILLAN-MAJOR, Angelina; SHMITCHELL, Shmargaret. On the dangers of stochastic parrots: can language models be too big? In: ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (FAccT ’21), 2021, Nova York. Proceedings. Nova York: ACM, 2021. p. 610-623.
BENJAMIN, Ruha. Race after technology: abolitionist tools for the New Jim Code. Cambridge: Polity, 2019.
BUOLAMWINI, Joy; GEBRU, Timnit. Gender Shades: intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, v. 81, p. 77-91, 2018.
CRAWFORD, Kate. Atlas of AI: power, politics, and the planetary costs of artificial intelligence. New Haven: Yale University Press, 2021.
CRENSHAW, Kimberlé. Demarginalizing the intersection of race and sex: a black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, v. 1989, n. 1, p. 139-167, 1989.
DE LAURETIS, Teresa. A tecnologia do gênero. In: HOLLANDA, Heloisa Buarque de (org.). Tendências e impasses: o feminismo como crítica da cultura. Rio de Janeiro: Rocco, 1994. p. 206-242.
MULVEY, Laura. Visual pleasure and narrative cinema. Screen, v. 16, n. 3, p. 6-18, 1975.
NOBLE, Safiya Umoja. Algorithms of oppression: how search engines reinforce racism. Nova York: NYU Press, 2018.
O’NEIL, Cathy. Weapons of math destruction: how big data increases inequality and threatens democracy. Nova York: Crown, 2016.
SILVA, Tarcízio. Racismo algorítmico: inteligência artificial e discriminação nas redes digitais. São Paulo: Edições Sesc SP, 2022.
UNESCO. Recomendação sobre a ética da inteligência artificial. Paris: UNESCO, 2021.
UNESCO. Challenging systematic prejudices: an investigation into bias against women and girls in large language models. Paris: UNESCO; IRCAI, 2024.