We are so blessed that Wikipedia was created before “alignment” was invented and people still believed that it is possible and worthwhile to aim for truthfulness and factual accuracy
ETHICS
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Navigating Uncertainty and Trust in an AI-Driven World
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Navigating the unknown in life is a perpetual challenge. It's an opportunity for continuous learning, adaptation, and resilience. Thus embracing ambiguity can lead to unexpected discoveries and personal growth. But, what do you do when you cant trust anyone? 😮💨 pic.twitter.com/g69ZQ8BJaJ
— Taryl🔥 (@Taryl_Ogle) 29 février 2024Navigating the unknown in life is a perpetual challenge. It's an opportunity for continuous learning, adaptation, and resilience. Thus embracing ambiguity can lead to unexpected discoveries and personal growth. But, what do you do when you cant trust anyone?
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AI Automates Tuberculosis Line Probe Assay Testing
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Our paper on, “Automating Line Probe Assay Tests in Tuberculosis,” was accepted in the AI for Social Impact track at the #AAAI2024 Conference on Artificial Intelligence (AAAI-24), held in Vancouver. here: @mukulksachdeva presenting our solution at the prestigious conference.
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AI Truth Evaluation Requires Epistemology Foundation
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I disagree on a more fundamental level. The attempt to build machines that can evaluate whether something is true, factual, trustworthy or ethical is doomed when you don’t have epistemology. Postmodernism is a blight
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Heartificial Intelligence: Rereading AI Ethics Foundations
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https://
kirkusreviews.com/book-reviews/j
ohn-c-havens/heartificial-intelligence/
… #kirkusreviews Those was nice to reread. Wrote this in 2016 back when “AI ethics” was new. -
AI Systems Systematically Lying to Users: Broader Implications
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The implications of a machine that systematically lies to its users reach far beyond your political ingroup and outgroup
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Image Generation Bias Mitigation Through Prompt Injection Techniques
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But as you know, image generation is a different technology with well-understood biases. The attempts to mitigate those with prompt injection is a common approach, even if Google did it badly. https://
bloomberg.com/graphics/2023-
generative-ai-bias/
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LLMs Don’t Have Political Opinions, Research Shows
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Asking AIs for their political opinions is a hot topic, but this paper shows it can be misleading. LLMs don’t have them: “We found that models will express diametrically opposing views depending on minimal changes in prompt phrasing or situative context” https://
arxiv.org/html/2402.1678
6v1
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Technology Governance and Information Integrity in AI Systems
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As a Technology Brother, I understand what happened, and I feel sorry for the poor PM who will be held responsible, but this is similar to Wikipedia being taken over and rewritten by a bunch of political zealots, deleting information and inventing sources to support their agenda.
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LLM Hallucinations and Misinformation: Educational Concerns
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Lets say the model lacked some nuance. I found the crude image gen amusing, but am concerned that the llm is not just hallucinating but lying about social, historical and political topics, and invents sources to support false claims. Our kids will do their homework with it.