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Thread: Miscellaneous

  1. #111
    Article "The Pros And Cons Of Anthropomorphic Robots"
    Robots will soon start working in public places and stand to encounter abuses from humans.

    by Kashyap Raibagi
    January 19, 2021

  2. #112
    Article "A New Law Makes Bots Identify Themselves—That's the Problem"
    California's so-called 'bot bill,' which aims to protect users from automated bots on Twitter and other platforms, is noble, flashy, intriguing...and inept.

    by Renee DiResta
    July 24, 2019

  3. #113
    Article "Can privacy coexist with technology that reads and changes brain activity?"
    Ethicists, scientists and our readers consider the ethics of brain technology

    by Laura Sanders
    February 11, 2021

  4. #114

    Milgram Experiment - Furhat Robotics

    Feb 23, 2021

    The Milgram Experiment was a series of famous social psychology experiments in the 1960s on the conflict of obedience to authority.

    The goal was to measure the willingness of study participants to obey an authority figure who instructed them to perform acts conflicting with their personal conscience, leading participants to believe they were inflicting serious pain to a “fake” study participant.

    We set out to see if social robots could have the same influence over people, despite demanding morally wrong actions to be taken.
    Milgram experiment on Wikipedia

    Furhat Robotics

  5. #115
    Article "The World Needs Democratic AI Principles"
    Democratic artificial intelligence principles are an essential guardrail in the age of great power competition.

    by Alexander Vindman, Igor Jablokov, and Ian J. Lynch
    February 26, 2021

  6. #116

    Will A.I. bring utopia, or dystopia? | Helen Kontozopoulos | TEDxUofT

    Jul 12, 2018

    Today, no two letters will evoke more excitement and anxiety than A.I. Helen Kontozopoulos, a lecturer at the University of Toronto and co-founder of the Department of Computer Science Innovation Lab (DCSIL), is all-too-familiar with the emotions A.I. evokes. However, she argues that we can make A.I. work better into the future if we adopt a holistic Artificial Intelligence framework. Helen co-founded the University of Toronto's Department of Computer Science Innovation Lab “DCSIL” in 2015, an incubator and accelerator for early-stage startups in Canada. DCSIL’s startups focus on artificial intelligence, machine learning, data science, AR/VR and cybersecurity technologies, Helen works with these teams on their strategy, growth, industry relationships, and UX areas of their ventures. She is directing efforts at DCSIL to foster innovation and commercialization through entrepreneurship programs, curating talent development, supporting tech transfer and increasing industry collaborations.

    She is a lecturer at the University of Toronto, in the Department of Computer Science (St.George campus) and Department of Computer and Mathematical Sciences (Scarborough Campus), where she teaches product development, UX, lean startup methodologies, rapid prototyping, entrepreneurship, innovation, and growth strategy.

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