Le code a changé - Amour & sexualité au temps des algorithmes

Le code a changé - Amour & sexualité au temps des algorithmes

🎙 Aurélie Jean 👥 234K 📅 December 3, 2025 ⏱ 78 min 👁 8K 📄 expert opinion 🧭 2026-08-03
Available in: English (current) Français

Keywords

algorithmlovesexualitydating appsAI

Summary

In this talk, Aurélie Jean, a computer scientist and author, discusses the influence of algorithms on love and sexuality. She explains how dating apps and connected objects shape our perceptions and behaviors, accelerating the process of ‘crystallization’ (falling in love) and commodifying relationships. She addresses issues of discrimination reproduced by algorithms, the rise of conversational agents and sex robots, and the new forms of intimacy they create. Jean emphasizes the importance of understanding these technologies to reclaim agency in our relationships. She argues that while algorithms can enhance human connection when used well, they can also diminish it when misused. The talk includes personal anecdotes, references to her book ‘Le code a changé’, and a Q&A session with the audience. She advocates for a human-centered approach to technology, urging scientists to engage with humanities and philosophers to understand the digital world. The discussion also touches on her career, from materials science to founding a startup that uses AI for medical imaging.

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Critical Evaluation

The talk is a well-articulated and insightful exploration of the intersection of algorithms and human intimacy. Aurélie Jean demonstrates deep expertise in algorithmic science, and she effectively translates complex concepts for a general audience without oversimplifying. Her arguments are grounded in both technical knowledge and social awareness, making a compelling case for the need to understand and critically evaluate the role of algorithms in our personal lives. She avoids dystopian narratives, instead offering a balanced perspective that acknowledges both the benefits and risks. The discussion is supported by references to her book and other works, though she does not cite specific academic studies during the talk. The Q&A session adds value by addressing audience concerns and clarifying points. The talk’s strength lies in its interdisciplinary approach, bridging technology and humanities, which is refreshing and necessary. However, some claims could benefit from more empirical evidence, and the talk occasionally veers into personal opinion. Overall, it is a high-quality, thought-provoking presentation that encourages critical thinking about the digital transformation of love and sexuality.

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Title / Content Match

The title accurately reflects the content, which explores the impact of algorithms on love and sexuality.

Quality & Reliability

8/10

The speaker is a recognized expert in algorithmic science, and the talk is based on her book published by a reputable publisher. The content is well-structured, nuanced, and avoids sensationalism, though it is primarily an opinion/expert talk rather than a peer-reviewed presentation.

Key Moments

Cited Sources

Concurring Sources

Dissenting Sources

  • None — No discordant sources were mentioned in the talk.

Contribution & Novelties

This talk provides a nuanced, expert perspective on how algorithms are reshaping love and sexuality, moving beyond common dystopian narratives. Aurélie Jean’s background in algorithmic science lends credibility, and she offers practical insights into how individuals can understand and navigate these technologies. The discussion of ‘crystallization’ and the commodification of relationships is particularly insightful.

Pour aller plus loin :

  • Algorithmic bias — Relevant to the discussion of discrimination in dating apps.
  • Human–computer interaction — Context for conversational agents and intimacy.
  • Sociology of love — Theoretical background on love as a social construct.

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Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a moderate technical level. This indicates a well-balanced talk that is both informative and accessible, suitable for a general audience interested in the societal impact of algorithms.

Reliability 8/10