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Anthropology of the Algorithm: how stereotypes, biases, and cultural…

The world of artificial intelligence (AI) is rapidly evolving, but it is not without its complex challenges. The new video article titled Anthropology of the Algorithm: How Stereotypes, Biases, and Cultural Belonging Influence AI, presented by Professor Alessandra Castellani, sheds light on a crucial and often overlooked aspect of AI development: the influence of cultural biases.

In her work, Professor Castellani explores how AI is not a neutral entity but rather the product of the choices, experiences, and beliefs of its creators. Through an anthropological lens, she examines how algorithms can reflect and amplify stereotypes and biases already present in human societies.

For example, many facial recognition systems have shown lower accuracy rates when applied to individuals with darker skin tones, a problem attributed to unbalanced datasets and a lack of attention to cultural diversity during their design.

Professor Castellani places particular emphasis on the ethical responsibility of developers and tech companies. “We cannot treat AI as a tool isolated from human reality,” Castellani highlights in the video. “Every algorithm is born within a cultural context that influences its design, implementation, and even its use.”

The video article is rich with practical examples, including case studies on how cultural belonging and social dynamics influence key decisions in algorithm design. Castellani invites reflection on the importance of building inclusive AI systems that respect diversity.

The central message of the video is clear: the tech community must recognize and address the role of stereotypes and cultural biases in AI. Only through a conscious and multidisciplinary approach can technologies avoid perpetuating social inequalities or injustices.

Professor Castellani’s contribution is a call to action, not only for experts in the field but also for the entire academic and industrial community.

The video article Anthropology of the Algorithm is available on the official Res4Net website and on major academic community channels. We encourage everyone interested to watch it and join the discussion on how to make AI a truly fair and inclusive tool.

Author of the Video Article: Prof. Alessandra Castellani.

Published on: Res4Net Official Channel

Duration: 19 minutes


Language: Italian (subtitles available in English)

Don’t miss this opportunity to discover a new perspective on one of the most influential technologies of our time.