{"id":1450,"date":"2019-01-18T11:50:00","date_gmt":"2019-01-18T11:50:00","guid":{"rendered":"https:\/\/www.hrgrapevine.com\/content\/article\/new-survey-reveals-ai-is-creating-jobs-not-killing-them"},"modified":"2019-01-18T11:50:00","modified_gmt":"2019-01-18T11:50:00","slug":"new-survey-reveals-ai-is-creating-jobs-not-killing-them","status":"publish","type":"post","link":"https:\/\/squarehr.com\/index.php\/2019\/01\/18\/new-survey-reveals-ai-is-creating-jobs-not-killing-them\/","title":{"rendered":"New survey reveals AI is creating jobs, not killing them"},"content":{"rendered":"
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New survey reveals AI is creating jobs, not killing them<\/figcaption><\/figure>\n

A new study from commercial data specialists Dun and Bradstreet has found that 40% of multinational organisations are actively adding more jobs as a result of deploying artificial intelligence.<\/strong><\/p>\n

Contrary to concerns of AI being a job killer, only eight per cent of respondents said their organisation is cutting jobs due to AI implementation. A further 34% reported that job demand is staying the same, whereas 18% said that AI is not impacting their workforce.<\/p>\n

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The research team gathered insights from business executives working for Global 2,000 organisations at the AI World Conference and Exposition.<\/p>\n

Whereas one in five businesses say they are already fully deploying AI within their company, the study also revealed that number is expected to rise significantly over the next 12 months. Just under half (44%) of businesses are in the process of deploying AI solutions, while an additional 23% are in the planning phase of implementing. Only 11% are not deploying AI at all.<\/p>\n

The commercial challenge<\/b><\/p>\n

“Businesses are looking to artificial intelligence to provide answers to more complex questions, but because AI models have been trained by humans, this approach often results in the potentially misleading reinforcement of existing knowledge, especially when the right steps are not taken in advance,” said Anthony Scriffignano Ph.D., Chief Data Scientist at Dun and Bradstreet.<\/p>\n

“This underscores the need to have conversations about diversity of thought and methodology so that the technology can be more valuable to the enterprise.”<\/i><\/p>\n

“Data is the foundation upon which any technology – especially AI – can be built. If you have a faulty data foundation, you will likely have a faulty technology approach yielding faulty insights. As data continues to be produced and stored in exponentially increasing quantities, we will begin to see AI systems adapt and improve, which is inherent to the value of AI.”<\/p>\n