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Thread: Miscellaneous

  1. #11


    DeepMind’s take on how to create a benign AI

    Published on Jan 2, 2019

    The paper "Scalable agent alignment via reward modeling: a research direction" is available here:
    1. arxiv.org/abs/1811.07871
    2. medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84

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  2. #12


    How do we learn to work with intelligent machines? | Matt Beane

    Published on Feb 21, 2019

    The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, we're handling AI in a way that blocks that path -- and sacrificing learning in our quest for productivity, says organizational ethnographer Matt Beane. What can be done? Beane shares a vision that flips the current story into one of distributed, machine-enhanced mentorship that takes full advantage of AI's amazing capabilities while enhancing our skills at the same time.

  3. #13
    Robot panic seems to move in cycles, as new innovations in technology drive fear about machines that will take over our jobs, our lives, and our society—only to collapse as it becomes clear just how far away such omnipotent robots are. Today’s robots can barely walk effectively, much less conquer civilization.

  4. #14


    Can we protect AI from our biases? | Robin Hauser | TED Institute

    Published on Feb 12, 2018

    As humans we’re inherently biased. Sometimes it’s explicit and other times it’s unconscious, but as we move forward with technology how do we keep our biases out of the algorithms we create? their programming? Documentary filmmaker Robin Hauser argues that we need to have a conversation about how AI should be governed and ask who is responsible for overseeing the ethical standards of these supercomputers. “We need to figure this out now,” she says. “Because once skewed data gets into deep learning machines, it’s very difficult to take it out."

  5. #15


    How AI can save our humanity | Kai-Fu Lee

    Published on Aug 27, 2018

    AI is massively transforming our world, but there's one thing it cannot do: love. In a visionary talk, computer scientist Kai-Fu Lee details how the US and China are driving a deep learning revolution -- and shares a blueprint for how humans can thrive in the age of AI by harnessing compassion and creativity. "AI is serendipity," Lee says. "It is here to liberate us from routine jobs, and it is here to remind us what it is that makes us human."

  6. #16


    AI: our new best friend | Intel's Lama Nachman

    Published on Sep 16, 2019

    The fourth wave of the Industrial Revolution is here. If change is led by the right people, we will have ethical machines, says Intel's Lama Nachman.

    - We're entering the fourth wave of the Industrial Revolution, says Genevieve Bell, cultural anthropologist and fellow at Intel. You can chart humanity's progress through four disruptive stages: Steam engine, electricity, computers, and now AI.

    - AI is already all around us, but what will it look like at scale? What will life be like when "suddenly all the objects around us are capable of action without us directing them?" asks Bell. Will fully scaled AI be a boon or an existential threat to humanity?

    - Speaking at The Nantucket Project, Lama Nachman, director of Intel's Anticipator Computing Lab, affirms her optimism. "My belief is that, really, ethical people and ethical researchers are the ones who are going to build ethical machines."

  7. #17
    Article "Don’t Panic about AI"
    Instead focus on making artificial intelligence controllable and responsive to human needs

    by John Browne
    December 10, 2019

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