AI Development is Only Considered Beneficial by 9% of Americans

The technology industry is suddenly obsessed with artificial intelligence tools that can produce responses that resemble those of humans, and Google, Microsoft, and billion-dollar startups are rushing to release prototypes of search engines and productivity tools that take advantage of the new technology.

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The companies creating this software claim it would boost human creativity and save hours of work.

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The public, however, is not yet persuaded. According to a recent Monmouth University study, only 9% of Americans believe that AI's effects on society would be more beneficial than detrimental.

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A little more than half of respondents, or 46%, feel that the development of AI will have a roughly equal positive and negative impact, and 41% of the sample members think the technology will ultimately be harmful to society as a whole.

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According to a study, 55% of Americans are extremely or somewhat concerned that AI could one day endanger the human race.

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The phrase "artificial intelligence" is used to refer to a wide range of programs that enhance their functionality without the help of software experts. The recent buzz, however, is concentrated on a novel approach known as "big language models" that examines petabytes of data.

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Large language models (LLMs) are increasingly being employed in generative AI tools that can spit out blocks of text, such as ChatGPT and Google's upcoming Bard. Drawings or audio produced by related models can approximate human output.

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Both Google and Microsoft's latest AI launches showed their program making factual errors, but there have been problems with huge language models, which can just make information up, a phenomenon known as "hallucinating."

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Additionally, some observers are concerned that cutting-edge AI might oust people from their jobs or render some professions obsolete. Additionally, LLMs and chatbots built on them have the ability to persuade users that the tools are truly thinking and feeling.

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In the study sample, for instance, 72% of participants predict that soon, AI will compose full news pieces, and 78% of respondents think that's a terrible thing.

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Public concern is not limited to recent developments in generative AI. For instance, some artificial intelligence algorithms can be used to recognize spectators at athletic events through facial recognition. Even though the practice has drawn criticism, a paltry 54% of respondents backed it.