3 things workers can do to prepare for #AI and the #FutureofWork https://
bit.ly/3KHygwq via @FastCompany
ETHICS
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Three Worker Strategies to Prepare for AI and Future of Work
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University of Toronto Explains Deep Learning to Non-Technical Audiences
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The University of Toronto made a video for a non technical audience in which I explain how deep learning works, the enormous promise of this technology and some of the potential risks. https://
youtu.be/-9cW4Gcn5WY -
AI Ethics Panel Discussion with Experts Concludes Successfully
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hi, the AI ethics panel with @alexhanna and @mer__edith hosted by @sarahfrier that just concluded was fantastic, stay tuned for a video link! pic.twitter.com/yRoLy4BOHj
— Rachel Metz (@rachelmetz) 22 juin 2023hi, the AI ethics panel with @alexhanna and @mer__edith hosted by @sarahfrier that just concluded was fantastic, stay tuned for a video link!
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AI-Descartes: Scientific Renaissance in Artificial Intelligence
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AI-Descartes: A Scientific Renaissance in the World of Artificial Intelligence https://
bit.ly/3M4MJV3 #AI #ethics -
Robotaxis interfere with emergency vehicles in San Francisco
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Moving fast and breaking things. The long tail is not solved by learning, fire chief not happy with humanless vehicles in SF https://
latimes.com/business/story
/2023-06-22/san-francisco-robotaxis-interfere-with-firetrucks-los-angeles-is-next
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Model Ideological Bias Measurement and Mitigation
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For example, when we prompt a model to vote on key issues, it tends to align with certain opinion groups more than others. As a result, model-based ideological biases (which human facilitators and moderators may also have) must be carefully measured and considered.
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Language Models Risks Require Deeper Scientific Study
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At the same time, we also find that LMs applied in this context pose risks that require (and illuminate areas for) deeper study.
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Language Models Enhance Pol.is Platform for Diverse Dialogue
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We collaborated with @compdem to research the opportunities and risks of augmenting the http://
Pol.is platform with language models (LMs) to facilitate open and constructive dialogue between people with diverse viewpoints. -
Blocking ML and AI researchers is closed-minded and counterproductive
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No, not that I’m aware. But yeah, arbitrarily blocking ML & AI researchers is not a good look and quite close-minded. I honestly don’t want to waste time on people who behave like that.
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Criteo Fined EUR 40 Million by France’s CNIL for Advertising Consent Violations
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The fine is related to what France's CNIL says is Criteo's failure to verify if users consented to have their data processed for used in personalized online advertising. Here's the full announcement from earlier today: https://
cnil.fr/en/personalise
d-advertising-criteo-fined-eur-40-million
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