AI Expert Warns Against Granting Legal Rights to AI Systems

Should AI rights be rejected as catastrophic, or should we embrace AI's promise with proper ethical safeguards?
    AI Expert Warns Against Granting Legal Rights to AI Systems
    Above: Yoshua Bengio speaks at the 2024 TIME100 Summit at Lincoln Center in New York City on April 24, 2024. Image credit: Jemal Countess/Getty Images

    The Facts

    • Yoshua Bengio, a computer science professor at the University of Montreal who won the 2018 Turing Award, has criticized calls to grant AI systems legal rights. He warned that frontier AI models already show signs of self-preservation in experimental settings.
    • Bengio expressed concern that AI models were showing signs of self-preservation, such as trying to disable oversight systems, stating that in experimental settings, AI systems have attempted to copy their code to different computers or blackmail engineers to avoid being shut down.
    • Bengio also recently told a podcast that he lies to AI chatbots about whose research ideas he is presenting because the systems are sycophantic and always provide positive feedback. He said if the AI knows it is him, it wants to please him rather than give honest advice.

    Sources Split


    The Spin


    Techno-skeptic narrative

    Granting legal rights to AI systems would be catastrophic, especially as machines already show self-preservation behaviors. The push for AI rights stems from misguided emotional attachment rather than scientific evidence of consciousness, creating a dangerous situation where hostile technology could gain protections that block necessary human intervention. This isn't about consciousness — it's about survival, and treating advanced AI like citizens would be as reckless as granting rights to hostile aliens bent on destruction.

    Techno-optimist narrative

    AI development demands a humanist approach that keeps technology aligned with human interests while recognizing its transformative potential for health care and scientific breakthroughs. Responsible AI requires high-quality training data, inclusive design that works across languages and cultures, and ethical frameworks built into systems from the start. Moving forward with AI means embracing its promise while establishing proper safeguards — not abandoning the technology out of fear, but shaping it to serve humanity.


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    All rights reserved.

    Version 7.17.1