The next phase of the corporate AI boom: measuring which employees actually understand it

"If you can measure people fairly accurately, you can actually do a lot of things better in society. You can hire better and more meritocratically. You can match people to the right project. Internally at companies, you can determine what people should learn to maximize."

"Workera's AI fluency framework goes well beyond just knowing how to prompt ChatGPT. It's divided into three parts to assess employee fluency: AI, generative AI, and responsible AI. At the most basic level, it asks that employees be able to differentiate between machine learning, deep learning, and generative AI."

"To evaluate generative AI fluency, employees should be able to write basic AI prompts and spot hallucinations in AI-generated responses. They should also understand how large language models work and recognize potential biases in AI systems."

After aggressively promoting AI adoption rates, major American companies now focus on assessing how well employees understand and use AI. Workera, a business skills intelligence platform serving about 10% of the Fortune 500, leads this measurement phase. The company's AI fluency framework evaluates three areas: basic AI concepts, generative AI capabilities, and responsible AI practices. Employees must differentiate between machine learning types, describe AI agents, write effective prompts, identify AI hallucinations, and understand bias in AI systems. Accurate measurement of AI competency enables better hiring, project matching, and targeted learning programs within organizations.

Read at Business Insider