ETHICS - AI Dynamics

Awards Bias: Why Selection Processes Harm Great People

By

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27 January 2023 21h38

In other cases, the truth is that there's more really great people than awards. So selections end up being arbitrary, superficial, political, or biased. Yet people only see the outcomes: awarded, or not awarded. This is where the harms creep in. 3/n

→ View original post on X — @thegautamkamath

27 January 2023

What makes work hardest? Exploring difficult labor challenges

By

@sama

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27 January 2023 19h30

what’s the hardest kind of work you know of?

→ View original post on X — @sama

27 January 2023

AI Progress Unpredictability and Human Capability Assessment

By

@gdb

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27 January 2023 17h38

One lesson from AI progress is it’s hard to predict the relative difficulties of various skills; one lesson from AI limitations is that humans are much more capable than we give ourselves credit for.

→ View original post on X — @gdb

27 January 2023

Meta Myths: Point by Point Affirmation Analysis

By

@benthompson

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27 January 2023 17h34

Sounds like a point by point affirmation of Meta Myths

→ View original post on X — @benthompson

27 January 2023

Medium Requires AI-Assisted Stories Be Clearly Labeled

By

@steipete

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27 January 2023 12h44

“We welcome the responsible use of AI-assistive technology on Medium. To promote transparency, and help set reader expectations, we require that any story created with AI assistance be clearly labeled as such.” https://
blog.medium.com/how-were-appro
aching-ai-generated-writing-on-medium-16ee8cb3bc89
…

→ View original post on X — @steipete

27 January 2023

Preparing youth to interact with AI inevitably

By

@rafiksmati

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27 January 2023 11h08

Toujours une guerre de retard. Une démarche orientée vers l’avenir consisterait au contraire à préparer nos jeunes à interagir et s'interfacer avec les IA. Mieux vaut embrasser un mouvement inéluctable plutôt que le nier.

→ Voir le post original sur X — @rafiksmati

27 January 2023

Building Trustworthy AI Amidst Models-as-a-Service Growth

By

@arya_ai1

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27 January 2023 7h42

There is a lot to uncover as Trustworthy AI gains prominence. @SVinayKumar12
, our Co-founder and CEO, shares his perspective on the ideal components of trustworthy AI, the impact of AI regulations, and perfecting the template for trustworthy AI. https://
medcitynews.com/2023/01/can-we
-build-a-trustworthy-ai-while-models-as-a-service-maas-is-projected-to-take-over/
…

→ View original post on X — @arya_ai1

27 January 2023

Responsible AI Discussion: Interpretability and H2O Products

By

@h2oai

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27 January 2023 2h02

Join @bhutanisanyam1 for a thought-provoking discussion on #ResponsibleAI with @ledell
, @_dynamic24_ + @pandeyparul
. We'll delve into the current states of #interpretability, using models responsibly, and how @h2oai products support these efforts. http://
ow.ly/ql3x50MBCNT

→ View original post on X — @h2oai

27 January 2023

WiFi Signals Now Track Multiple People’s Body Movements Without Cameras

By

@therundownai

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26 January 2023 17h35

New AI research can track body movements of multiple people by using WiFi signals. A deep neural network has been developed that maps the phase and amplitude of WiFi signals to specific body regions. This means there's no longer a need for cameras to track body movements

→ View original post on X — @therundownai

26 January 2023