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Getting AI to not BE racist is harder than getting AI to not SEEM racist
Read more: Getting AI to not BE racist is harder than getting AI to not SEEM racistAI systems tell you what you want to hear, not what they “think” is right. One bad aspect of this is that they have learned not to *appear* racist, even if they really are.
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How do AI detectors work? (And why shouldn’t you trust them?)
Read more: How do AI detectors work? (And why shouldn’t you trust them?)Ever wondered how AI detectors work — and why they don’t really work that well? Here’s an overview of them and some of the big issues that come up while designing AI systems in general.
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What the heck’s the difference between an “algorithm” and “AI”, anyway?
Read more: What the heck’s the difference between an “algorithm” and “AI”, anyway?“Algorithm” and “AI” are two terms that often get used interchangeably, but they have important technical differences. I ran across an algorithm labelled as AI and realized that my intuitions about them are strong, but my definitions are fuzzier than I’d like. So what are yours?
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Terrible AI-deas: Aspect, the AI social media space that’s all bots (and you)!
Read more: Terrible AI-deas: Aspect, the AI social media space that’s all bots (and you)!A social media system where everyone but you is a bot. It’s another Terrible AI-dea.
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Terrible AI-deas: A Series
Read more: Terrible AI-deas: A SeriesThe landing page for a series of posts on bad ideas involving AI.
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“Wrong but plausible” is the worst kind of wrong for AI
Read more: “Wrong but plausible” is the worst kind of wrong for AIGenerally, it’s better to have a small error than a big error. But the upside to a big error is that it’s easier to notice than a small one. With AI-generated information, plausible errors are more likely to go unnoticed, and thus may be a lot worse than just getting the answer totally wrong.
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What is this blog?
Read more: What is this blog?Everything, it seems, is AI nowadays. Texts. Images. Bots. Chatbots. New annoying notifications on your apps. Existing features rebranded as “AI”. WordPress, as I write this, is using the power of AI to tell me what I am doing wrong in my writing. My language is too unconfident. I need to add an image; click…
Hallucinating Parrots
Thoughts on Artificial Intelligence, Language, and Being Human
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About the blog
Artificial Intelligence may be the future. But is it a future we want? We’re linguists looking at large language models (LLMs) and other AI systems with a fair but skeptical eye. Our goal is to give an overview of AI technologies to help readers understand the strengths and weaknesses, and successes and failures of AI.
About the authors
Gabriel Doyle is an associate professor of Linguistics at San Diego State University.
Amanda Simons is an ESOL instructor at San Diego College of Continuing Education.
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