So one wouldn’t have concerns about Google’s mission if all the images of 15th century artists were white Europeans? In any case, this is an imperfect creative tool, not search – why not aim to create more inclusive visions of the world, within reason?
ETHICS
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Pseudo AI and AI Washing: Problems and Explanations
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In this episode of the #AIToday #podcast we explain what Pseudo AI or “AI washing” is , why it happens, and why it’s a problem for everyone. https://
cognilytica.com/pseudo-ai-stil
l-a-thing-still-a-problem-ai-today-podcast/?utm_source=dlvr.it&utm_medium=twitter
… #AI #ML #fakeit #AIWashing -
Pseudo AI and AI Washing: Problems and Solutions Explained
By
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In this episode of #AIToday #podcast we explain what Pseudo AI or “AI washing” is , why it happens, and why it’s a problem for everyone. https://
cognilytica.com/pseudo-ai-stil
l-a-thing-still-a-problem-ai-today-podcast/?utm_source=dlvr.it&utm_medium=twitter
… #AI #ML #AIWashing -
Do LLMs Lie? Understanding Intent and Deception in AI
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Lies are deliberate and require intention which an LLM does not have
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Model Tuning Choices Shape AI Inaccuracies and Outputs
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I guess my understanding is all inaccuracies are in some way a result of tuning choices made by model creators. And this one is just particularly visible and visceral to (some) humans..
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LLM Inaccuracies and Representation Bias in AI Systems
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Inaccuracies obviously an issue. But haven’t we all agreed LLMs make mistakes? I haven’t seen this sort of reaction for any other errors. Outrage directed at things like Arab mathematicians in 17c or female soldiers, as if these things are an affront
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Stanford Scholar Testifies on Public Sector AI Policy California
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Happening today: @StanfordHAI senior fellow Daniel E. Ho testifies before the California State Senate to provide an academic perspective to conversations around public sector AI. Watch the livestream: https://
senate.ca.gov/media/senate-t
v1/video?id=194498
… Or read the full testimony: https://
stanford.io/3wq0N6m -
AI adoption in social and education sectors survey
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How are the social and education sectors thinking about AI? In collaboration with @project_evident
, we surveyed nonprofits and philanthropic organizations about their current and future use of the technology. https://
stanford.io/3T4dDA4 -
Gemini Image Generation Bias: Race Representation in AI Models
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Impossible to have a nuanced conversation about race on here, but genuine question: why does seemingly everyone have such a huge issue with Gemini generating images of women/people of colour, when AI has been doing this for YEARS in the opposite direction?
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Historical Accuracy vs Representation in AI Generated Content
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Isn’t the outrage overblown? There may be some historical inaccuracies but people seem annoyed about stuff like prompts for 17th century physicists/mathematicians showing Arab/Asian/African people and not Europeans. Surely that’s not inaccurate, just unrepresentative?