Data Dignity and the Inversion of AI

University of California Television (UCTV)
University of California Television (UCTV)
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Published 2023-11-26
In this program, Jaron Lanier, Microsoft's prime unifying scientist, discusses a piece he published in The New Yorker (“There Is No AI”) about applying data dignity ideas to artificial intelligence. Lanier argues that large-model AI can be reconceived as a social collaboration by the people who provide data to the model in the form of text, images and other modalities. This is a figure/ground inversion of the usual conception of AI as being a participant or collaborator in its own right. Explanations of model results and behaviors would then center around the relative influence of specific inputs through a provenance calculation mechanism. This formulation suggests new and different strategies for long-term economics in the context of high-performance AI, as well as more concrete approaches to many safety, fairness and alignment questions.

This program is co-hosted with the UC Berkeley College of Computing, Data Science, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. The CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Recorded on 09/13/2023. [11/2023] [Show ID: 39326]

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All Comments (19)
  • @davidraho
    Lanier makes some persuasive arguments and tentative truths here with humility and sensitivity. Worth a repeat listen. Love the emphasis on human-centredness that is often missing in other discussions.
  • @dantv23
    I'm glad he is aware of citizen impacts of ML.
  • @MaryDem89
    Thank you very much for posting this video. Greetings from Russia.
  • @myparceltape1169
    Can we afford the dreamer on the hill who sees the Earth spinning round and not the sun going down? If a lot of people are serviced by machines and so freed to dream - yes we can and can expect a new Enlightenment, with extras.
  • @emreon3160
    Challenges to these ideas; Event data horizon may be reached with human inputs making the dignity a commodity. Including the engineered perception components and data gathered from the real world [eg Tesla cars] and digital realm may be limited. Secondly, The "a.i." may also gain the ability to plan, and gain motivation, or other new digital cognitive traits outside the realm of human biology, and pass beyond the scope of boundaries set by humans and systems. By moving itself into separate closed supply chains, and self harnessed resources such as energy, materials, and entropy.
  • @ThomasBaxterSoutar
    Best anthology, analogy and abstract creative ideas of the future I've ever heard...can be challenged but not by many... Only 6million people like this video lol x
  • @katherandefy
    Well one thing about Jaron is he doesn’t playact. That note we left it on oof. Yeah people hold it together for a few more years ok. We’ll make it.
  • @zacharymax8894
    Был такой фильм 2009 года, Воины света, так вот как будто то бы к этому идём
  • @illpadrino6473
    “I don’t know if the US will be around in a couple years” WHOA
  • @jaysphilosophy1951
    Ah yes, but has the feeling Lanier describes really been with us since the dawn of civilization? Was the question of human roles being asked 8,000 years ago? I doubt it.
  • @rustyshimstock8653
    First 30 minutes: Return of he semantic web! Get cracking on that metadata, kids! Last 5 minutes: kabam!
  • @sirg1764
    so humans will become a glorified data entry for AI to feel its gaps..pretty horrible and it doesn't really solve the problem. also even this will only last until those gaps are filled
  • @GerardSans
    Training data exploitation is the big no-no of current AI which is also unsustainable. Somehow Jaron is omitting this important fact while introducing data dignity that attends some of its ramifications: transparency on data sources (potential copyright infringement and penalties) and filling gaps in the latent space or improving data representation for specific domains. This is an indefensible position for Microsoft and quite embarrassing once AI literacy catches up on current questionable practices that profit from other people work. Somehow Jaron is complicit as he is proposing to pay people within the data dignity system but not to the people whose data was used to train GPTx models. A massive ethical and moral contradiction in his position. His opinions and ideas are coherent and technically sound besides the important omissions.