Top Tweets for #AwfulAI
As the year ends, we present the annual #AwfulAI award, an honor no one asked for, for the most unethical AI event of 2023 - and wow this year's contenders were particularly striking. And the winner is... (drumroll) ๐๐ฅ - a thread ๐งต /1
https://t.co/eV6BslKS8X
๐ This year's #AwfulAI award goes to @FastCompany for awarding @checkr, a controversial automated background check startup, a prize for world-changing "ethical" AI
@Checkr had several lawsuits in the past. Maybe @FastCompany should do its own background checks next time ๐
A machine-learning model can be used to predict the future โimpactโ of research published in scientific literature, according to a @NatureBiotech paper. The model could aid in the construction of diversified, impact-optimized funding portfolios. https://t.co/SX592OYIsj
@NaturePortfolio @NatureBiotech I predict that this paper will be added to @dwddao's #AwfulAI list. https://t.co/bKZZywRnaP
Days 7, 8, 9 - Watched a few webinars on Product Management on @LinkedIn via @productschool to gain more insights. Watch out for #AwfulAI examples. #Data #ProductManagment #AI #ML #ArtificialIntelligence #MachineLearning #Testing #Datasets #Products #Bias #60DaysOfUdacity
This paper doesn't sit well with me.
โThe salient facial feature discovery is one of the important research tasks in ethnical group face recognition. In this paper, we first construct an ethnical group face dataset including Uyghur, Tibetan, and Korean.โ
https://t.co/qLURa3FMot
We will return in two weeks! While you wait, you can check out Some Awful AI with David Dao.
https://t.co/aDvIKeMhBH
@jbensnyder Just added it to a list called #AwfulAI ~ https://t.co/eV6BsltgKn, where I'm trying to collect all shitty machine learning ideas out there. This is a prime example of it. Besides the scientific flaws and overselling, it's just scary what kind of ideas some people can come up with
@alirahimi0 Thanks for sharing! I'll add this to a list I have been creating, called #AwfulAI ~ https://t.co/eV6BsltgKn. As a community, we need to raise awareness! People need to stop doing this!
A scary example of #AwfulAI! Please, don't just throw terms like "data-driven" or "AI" to sell officers an algorithm that might put innocent individuals at risk! Better: Open-source training data and make the AI model auditable! - So we can check for bias, fairness and privacy!
Police forces in Britain and America are turning to data and AI-driven programmes to help them fight crime
#AI #Platform to spur discussion for the development of possible contestational technology
#AwfulAI #AI #facepalm #senseface #televisa #fakenews #ML #ArtificialIntelligence
https://t.co/teubG51c38
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