Analytical reasoning and creativity are among the skills most required for successfully integrating AI into your work, according to new research from upskilling platform Multiverse.
Amid concerns that an over-reliance on generative AI technology can reduce critical thinking, Multiverse, the edtech unicorn founded by Euan Blair, son of former prime minister Tony Blair, conducted research into what skills would be needed to ensure the adoption of the technology was impactful.
The group found 13 human skillsets required for success workforce AI adoption. The most essential of these included:
Cognitive ability, including analytical reasoning to breakdown AI information, creativity to push beyond the boundaries of AI and systems thinking to identify patterns in AI performance.
Responsible AI skills, including an understanding of the ethical considerations such as bias and cultural sensitivity.
Self-management skills including self-regulated learning, adaptability, curiosity and detail orientation.
“Leaders are spending millions on AI tools, but their investment focus isn’t going to succeed. They think it’s a technology problem when it’s really a human and technology problem,” said Gary Eimerman, chief learning officer at Multiverse.
“Without a deliberate focus on capabilities like analytical reasoning and creativity, as well as culture and behaviours, AI projects will never deliver up to their potential. This framework provides a new model for talent development in the age of AI, which must include human skills as well as technical skills in order to drive tangible business results.”
Multiverse has been targeting AI training initiatives as a key part of its strategy amid calls in the UK to rapidly increase the availability of AI-skilled workers.
The company claims to have trained more than 20,000 apprentices in AI, data and digital skills.
“We need to start looking beyond technical skills and think about the human skills that the workforce must hone to get the best out of AI,” said Imogen Stanley, senior learning scientist at Multiverse.
“What we found during our first principles research phase was that skills like ethical oversight, output verification, and creative experimentation are the real differentiators of power AI users.
“By developing these specific skills, employees can move from being passive users of AI to active drivers of innovation and value.”
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