The tech will be interesting. But we need to make sure the tech is generating correct results. It's getting basics wrong, tho answering confidently: See https://
bit.ly/3K6MxEe + the image, 2 of 3 of the co's listed for my leadership roles & both of the orgs are wrong. 3/4
@jeggers
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AI Technology Accuracy Issues: Confident Wrong Answers
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ChatGPT Bard hype cycle: Reality vs tech giant narratives
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Answers to qs I'm asked abt ChatGPT & Bard: The Q: Is this going to change the world the way people are saying it is? My A: No. This is a hype cycle of a new, fun, consumer consumable tech. It's being fueled by 2 tech giants who want to keep it in the news. A challenge… 1/4
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Search AI Integration Criticized: TikTok Dance Interpretive Alternative Proposed
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…for search incorporation is that reading longer prose isn't the direction consumers have gone. Google and MS would be better off creating a tictok interpretive dance of search results, than using this tech. 2/4
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ChatGPT’s Role in Amplifying AI Hype Cycle
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Why ChatGPT amplified the #ai hype cycle: It's a consumer consumable -> ppl directly use it vs it being "hidden' in everyday mapping, search, design, supply chain, etc. apps. Now 2 tech giants pushing the hype: http://
bloom.bg/3HFTB7S @daveyalba covers what experts think abt that -
AI Identifies Faces Holocaust Museum Photos Family Reunion
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#aiForGood #HolocaustRemembranceDay Numbers to Names https://
bit.ly/407380h AI discovering family & friends from 171,466 faces in photos from @HolocaustMuseum "That aunt that Fixler saw in that photo played a big role in helping her survive." NPR article: -
Mitigating AI Biases: Practical Steps for Smart Teams
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….to take certain steps to mitigate those biases or not” from @ryanbsteed And, none of these are impossible, even hard, steps to take and your smart teams can do this. Reach out if you need help. 2/2
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AI Training Data Bias: Sexualization and Racism in Models
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No judgment if you#lensaai, but this is why I can't https://
bit.ly/3BK9iZJ Sexualization of women + racism. If your company is working w #ai, know this, this can be prevented. As the article says,“Someone has to choose the training data, decide to build the model, decide…1/2 -
AI Learning Trust and Hype: Key Challenges Ahead
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And this is a good summary of the key points: #ai mimics people's mistakes, needs to learn to learn vs being trained, needs to focus on trust! And I will repeat again, I only fear the hype! Thx @constellationr for giving us the platform. @AndyThurai was a great guide for us!
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Data Quality Critical: Flawed Input Ruins AI Systems
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Y'all know my #AI trinity: chicken (algorithm), eggs (data), & bacon (objective). Here's an example of rotten eggs: https://
bit.ly/3WUGCGs You need to know the data going into your AI for BOTH training and input. This was flawed automated input & could have easily been expected. -
AI Panel Discussion at YPO Edge Event Highlights
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Fantastic panel! Along with hearing my fellow panelists provide their extensive experience examples on #AI and the expert guidance in the discussion from @adamlashinsky
, the audience qs were amazing! Hats off to the @YPO #YPOEdge attendees and their thoughtful engagement.