Fei-Fei Li

Fei-Fei Li

x.com/drfeifei

Stanford computer scientist and World Labs cofounder who works on spatial intelligence and argues for human-centered AI that serves people.

Comment l’IA changera-t-elle le monde ?

Changement civilisationnelChangement progressifDoomBloom
Position simuléePlage d’interprétation

Horizontalement : sa perspective Doom–Bloom telle qu’elle l’a exprimée. Verticalement : ampleur de la transformation.

Doom–Bloom : 81 sur 100. Ampleur de la transformation : 61 sur 100. Plages d’interprétation : de 75 à 86 horizontalement, de 50 à 75 verticalement. Il s’agit de coordonnées d’interprétation, et non de probabilités d’événements.

P(doom) de Fei-Fei Li · inféré

≈4%

0%100%

Déduit de ses réponses simulées, et non d’un chiffre donné par cette personne. Plage plausible : 2–8%.

Ce dont dépend sa perspective

Une hypothèse centrale

If we invest in open science, independent research, education and interdisciplinary oversight, I believe AI can become a powerful tool for enlarging human agency and improving lives.
Réponse 2

Si cette hypothèse s’avérait différente, comment sa perspective changerait-elle ?

Une question non résolue

I would not assign a credible number.
Réponse 4

Qu’est-ce qui l’aiderait à distinguer les résultats plausibles ici ?

Plus de détails

Bénéfices attendus

Plusieurs interprétations restent plausibles : Des bénéfices substantiels sont attendus, sous réserve de conditions importantes ou de limites dans leur répartition. / Des bénéfices transformateurs et largement profitables sont attendus.

82 / 100

Faible impactImpact transformateur

Plage d’interprétation de 67 à 100 sur l’échelle qualitative.

Dommages attendus

Des dommages gérables ou localisés sont attendus.

39 / 100

Faible impactImpact transformateur

Plage d’interprétation de 33 à 67 sur l’échelle qualitative.

Influence humaine

Les choix humains sont décisifs : des futurs de l’IA très différents restent à la portée de l’action collective.

94 / 100

Faible influenceForte influence

Plage d’interprétation de 75 à 100 sur l’échelle qualitative.

Ces interprétations conservent les conditions qu’elle a énoncées. Les bénéfices et les dommages peuvent tous deux être substantiels. Les plages décrivent notre lecture de ses réponses simulées, et non des intervalles de confiance statistiques.

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Ce que Fei-Fei Li a dit sur l’IA

Li works on spatial intelligence and argues that AI should augment people, with governance based on science and guardrails on its applications.

  1. “The goal of building any technology, AI included, should be bettering human lives and society.”

    Post on X
  2. “As one of the scientists who helped usher in the era of modern AI, my motivation has always been clear: AI must augment human capability, not replace it.”

    Essay, From Words to Worlds
  3. “Spatial intelligence will transform how we create and interact with real and virtual worlds—revolutionizing storytelling, creativity, robotics, scientific discovery, and beyond.”

    Essay, From Words to Worlds
  4. “I really think a pragmatic approach that focuses on applications and ensuring a guardrail for safe deliverance of this technology is a good starting point.”

    PBS, Firing Line
  5. “One thing that I think we should do is base all this on science, not science fiction.”

    Possible podcast

Citations exactes tirées des sources en lien, vérifiées le 3 oct. 2026

Évaluation simulée

Question 1

Selon vous, que signifie l’IA pour notre avenir, et pourquoi ?

I think AI can expand humanity’s ability to understand, imagine and create. But AI is much bigger than a chatbot. Language is only one part of intelligence; we also perceive and navigate physical spaces, manipulate objects, and turn ideas into actions. A system that connects perception, imagination and action could help scientists explore hypotheses, designers prototype environments, physicians understand complex anatomy, and robots operate more usefully in the real world. That future is not automatic. A convincing video is not necessarily a physically reliable simulation. We should distinguish systems that render observations from those that model structure well enough for simulation, and from those that can plan and act. Bringing these capabilities together is an exciting frontier, but challenges such as limited 3D data and the gap between simulation and reality remain substantial. Most importantly, the future of AI is a human choice. Technology does not decide whom it serves—we do. Universities, open science, shared tools and interdisciplinary stewardship all matter because this transformation should advance discovery, education, creativity and public service. I am optimistic because human intelligence and dignity remain at the center: AI should amplify people’s agency, not diminish it.

Question 2

Taking benefits and harms together, what overall impact do you expect AI to have?

Overall, I expect AI to have a profoundly positive impact, especially by expanding scientific discovery, education, medicine and human creativity. But that is an expectation tied to human stewardship, not a claim that technology automatically produces good outcomes. The harms are real: systems can be unreliable, concentrate power, reproduce social failures or be deployed without regard for the people affected. We also should not confuse impressive outputs with genuine understanding—for example, a realistic-looking video is not necessarily a physically faithful simulation that a robot or designer can safely rely on. So I reject both easy utopianism and fatalism. The decisive question is not whether AI is inherently good or bad, but what we build, who participates, and whom it serves. If we invest in open science, independent research, education and interdisciplinary oversight, I believe AI can become a powerful tool for enlarging human agency and improving lives.

Question 3

Setting aside good or bad: how much do you think AI will ultimately change the world—a little, a lot, or completely?

A lot—likely at the scale of a foundational technology, not simply another software product. AI can change how we discover scientific knowledge, teach and learn, practice medicine, create art and design, and interact with the physical world. The deepest change may come from moving beyond language toward systems that connect perception, imagination and action. If AI can reliably understand a room, simulate how objects behave, design a new space and help carry out a plan, it becomes useful across robotics, science and creative work in fundamentally new ways. That said, I would not say AI changes everything completely. Human needs, relationships, institutions and choices remain central. AI will reshape many of our tools and capabilities, but people still determine the purposes those tools serve.

Question 4

What’s your rough gut-feel chance that AI causes human extinction or a similarly permanent catastrophe? A number or “no idea” is fine.

I would not assign a credible number. Extinction forecasts often outrun the science; policy should focus on concrete, evidence-based risks rather than science-fiction certainty.

Sources

Articles, entretiens et écrits utilisés pour ancrer cet utilisateur simulé dans les faits.

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