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What AI Experts Fear From AI - AI Summary

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Titled "Investing in trustworthy AI," the 82-page report from Deloitte and the Chamber Technology Engagement Center sought to identify the concerns that technology experts have when it comes to the adoption of AI, as well as highlight the impact that government investment in AI can have on the emerging technology. For instance, the survey found that 66% of respondents indicated that "the government could mitigate unwanted biases" and found 69% suggested that "the government could encourage accountability for AI decisions." Two-thirds of survey-takers want the government to reduce the impact of job loss due to AI, while 72% said the government could "mitigate acceleration of social divides between workers with and without AI skills." "Broadly, respondents overwhelmingly supported the notion that government intervention could enhance the benefits of AI and thus contribute to increased AI trustworthiness," the report states. One-quarter of patents granted by the United States Patent and Trademark Office use AI technologies in some shape or form, reports Deloitte, which claims that the economic impact of AI will be somewhere between $447 billion and $1.43 trillion over the next five years.


What AI Experts Fear from AI

#artificialintelligence

These are some of the outcomes that AI developers fear will come from their work, according to a new report issued today by the Deloitte AI Institute and the U.S. Chamber of Commerce. Titled "Investing in trustworthy AI," the 82-page report from Deloitte and the Chamber Technology Engagement Center sought to identify the concerns that technology experts have when it comes to the adoption of AI, as well as highlight the impact that government investment in AI can have on the emerging technology. Algorithmic bias and a lack of humans in decision loops are concerns for about two-thirds of the 250 people who participated in the survey. Another 60% identified "rogue or unanticipated behavior" of autonomous agents as a threat, while 56% said the lack of explainability of algorithms was a concern. "Perceived, and actual, discrimination by AI systems undermines the confidence individuals have in whether they are being given a fair opportunity when AI is involved," the report stated.