• The Fault in our Algorithms

  • 著者： Ananya Roy
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The Fault in our Algorithms

著者： Ananya Roy
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  • We can all agree that AI must be designed to minimize bias and promote inclusive representation - but how much do we really understand about how AI perceives fairness, or who should have control over how data is collected, or even our own responsibilities in this transformation? Join us, Nickunj Chopra and Ananya Roy as we attempt to uncover answers to these questions and envision a world with fairer and more ethical AI through conversations with some of the finest minds in the field of Data Ethics, AI and Responsible Innovation.
    Ananya Roy
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  • vAIsually Stunning: Exploring Ethical Synthetic Media with Michael Osterrieder

    vAIsually Stunning: Exploring Ethical Synthetic Media with Michael Osterrieder
    2023/02/13
    Join us as we chat with Michael Osterreider, a seasoned media industry professional and the CEO of vAIsual. With nearly two decades of IP licensing experience, Michael brings a wealth of knowledge to the table as we delve into the exciting world of synthetic media and artificial intelligence. With a portfolio of over 40,000 images and 12,000 footage clips, Michael has sold over 500,000 media licenses and has been a part of numerous design and online marketing projects. In this episode, we'll discuss the current state of AI regulation, the future of copyright and data ownership in the synthetic media industry, and the possibility of AI someday directing Hollywood films. Whether you're a media professional or simply curious about the intersection of technology and media, this is an exciting moment in the AI revolution as we witness the way we create, distribute, and consume content being changed forever. Check out the vAIsual whitepaper here: https://vaisual.com/whitepaper/
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    35 分
  • Episode 10: William Softky, Theoretical Neuroscientist | Is Technology Neutral?

    Episode 10: William Softky, Theoretical Neuroscientist | Is Technology Neutral?
    2022/09/08

    William Softky is a biophysicist who was among the first neuroscientists to understand micro-timing and also among the first technologists to build that understanding into algorithms. His name is on 10 patents, thousands have cited his scientific work, and two of the companies he inspired were acquired for $160 million total.   Softky holds a Ph.D. in Physics from Caltech, where he discovered a still-unsolved paradox about the firing patterns of brain neurons. A theoretical biophysicist — the son of two physicists — Softky served in the Peace Corps in Cameroon before attending grad school.

    His subsequent career in Silicon Valley (including biophysics, human-computer interaction, and signal processing) has given him a unique perspective on the software and hardware architecture of human brains, including new insights about our deepest (yet most deeply-hidden) high-bandwidth method of somatic communication.

    Real-time video and sound evidence of toxic LEDs: https://www.youtube.com/watch?v=9IOSwlQxDxE

    A tidy explanation of brains and fixing them which doesn't depend on neurons, memory, or symbols ("Vibration all the Way Down"): https://www.fairobserver.com/business/technology/brains-explained-vibration-all-the-way-down/
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    38 分
  • Episode 9: Rupa Singh, Founder at AI Beehive | Exploring AI Ethics from a Buddhist Perspective

    Episode 9: Rupa Singh, Founder at AI Beehive | Exploring AI Ethics from a Buddhist Perspective
    2022/09/01

    Rupa Singh is the author of the Book "AI Ethics with a Buddhist Perspective". She is the founder of AI-Beehive, an online learning platform providing courses and certifications in Machine Learning, Deep Learning and more. 

    In this episode, Rupa discusses the role of AI in various geographical and cultural contexts through her experiences as an AI-ethicist, writer, critical design thinker, machine learning and deep learning specialist and coach.


    Check out AI-Beehive here: https://ai-beehive.com
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    29 分

あらすじ・解説

We can all agree that AI must be designed to minimize bias and promote inclusive representation - but how much do we really understand about how AI perceives fairness, or who should have control over how data is collected, or even our own responsibilities in this transformation? Join us, Nickunj Chopra and Ananya Roy as we attempt to uncover answers to these questions and envision a world with fairer and more ethical AI through conversations with some of the finest minds in the field of Data Ethics, AI and Responsible Innovation.
Ananya Roy
続きを読む 一部表示

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