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Two Princeton researchers delve into the hype and misconceptions surrounding AI in their new book “AI Snake Oil”!
Unpacking the AI Hype Cycle
In AI Snake Oil, Princeton researchers Arvind Narayanan and Sayash Kapoor critique the rampant hype surrounding artificial intelligence (AI), identifying companies, researchers, and journalists as the main perpetrators of misleading narratives, reports Wired.
They highlight how companies often prioritise profit over ethical considerations, particularly regarding AI’s impact on marginalised communities. The authors also scrutinise media sensationalism, which can distort public understanding by exaggerating current AI technologies.
To combat the scare tactics and alarm, the authors emphasise the need for improved education on AI, urging individuals to grasp key concepts like predictive and generative AI to navigate this complex landscape effectively. By doing so, they are confident “A user may approach the AI’s outputs with more scepticism when they have a better understanding of where the model’s training data came from—often the depths of the internet or Reddit threads—and it may hamper their misplaced trust in the software.”
Despite the ongoing hype, they believe that generative AI will significantly influence society, making critical assessment essential for responsible engagement with these technologies.
Editor’s Comment: We don’t know which way the chips will fall… whether ‘good guy’ AI wins in the end or ‘bad guy’ AI takes over… what we do know is that we will continue to keep you informed about both positions.
(Visit Wired for the full story)
*An AI tool was used to add an extra layer to the editing process for this story.
