Generative AI can seem like magic, which makes it both enticing and frightening. Scholars are helping society come to grips with the potential benefits and harms.
Language AI’s have trouble weighing potential gains and losses.
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Language model AIs are smooth talkers, but you shouldn’t rely on them to make important decisions. That’s because they have trouble telling the difference between a gain and a loss.
Words have meaning for people because we use them to make sense of the world.
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The latest release in the GPT series shows marked improvement over predecessors.
Large language model AI responds to questions but doesn’t actually know anything and is prone to making things up.
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Searching the web with ChatGPT is like talking to an expert – if you’re OK getting a mix of fact and fiction. But even if it were error-free, searching this way comes with hidden costs.
To what extent will our psychological vulnerabilities shape our interactions with emerging technologies?
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Artists and photographers have strongly opposed their distinct styles being replicated by AI image generators. And the law has yet to catch up with this issue.
ChatGPT and other AI chatbots seem remarkably good at conversations. But you can’t believe anything they say. Sometimes, though, reality isn’t the point.
Could AI be your next colleague – or replacement?
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Now that AI systems can generate realistic images and convincing prose, are creative and knowledge workers endangered or poised for productivity gains? A panel of experts says it’s not so clear-cut.
AI models can now produce meaningful responses to exam and assignment questions. We’ll have to embrace them if we want the next few years to go smoothly.
We’re facing a significant advance in AI using methods that are not described in scientific literature, and with datasets restricted to a single for-profit company.