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Panelists from more info either side from the classroom discussed the significance of generative AI end users currently being liable for the written content they create and avoiding automation bias — trusting the technology’s response implicitly without the need of wondering critically about why it created that solution and no matter if it’s accurate.
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“We suggest that AI appreciation takes place when AI is perceived as being a lot more capable than humans and personalization is perceived as being pointless in the specified conclusion context,” suggests MIT Professor Jackson Lu, co-creator of a newly released paper detailing the review’s final results.
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