Are you letting the machines decide your metrics?
AI can default to measuring whatever is easiest to find and simplest for another system to score, regardless of intent. Time for some human oversight, says Robert Vilkelis. ...
by Amit Joshi Published September 10, 2026 in Brain Circuits • 2 min read
CHROs must persuade their fellow leaders to avoid hollow promises that employees perceive to be disingenuous. Rather, the goal should be to communicate openly and honestly, with an exchange of views about how both employer and employee see roles changing.
Some employees are grappling with “upskilling fatigue” – a constant discourse around improving their skills relating to new technologies. Instead, focus on human-centered organizational and technological design to facilitate the implementation of AI technologies in a way that supports, rather than undermines, staff.
Neither managers nor their teams will be keen to trust a “black box.” Instead, when introducing new AI capabilities, CHROs must ensure that people understand how models reach their conclusions. Users are much more likely to adopt AI technologies that they feel they understand.
Vague and unsubstantiated claims only add to people’s unease about AI. Where leaders do have a clear view of the likely impact, set that view out early. That way, they can give workers the support and reassurance they need to take advantage of the opportunity.
The HR function is well placed to monitor the use of new AI tools and collect feedback and address concerns about ethics, privacy, and safety.
Organizations can reap big benefits from “innovation champions” – individuals who are excited to try new technologies in their area of the business and share the learnings. Many of the most valuable gains from AI will come from the workforce exploring different use cases.
Once employees accept AI as a gateway to their personal progress, rather than a barrier, new horizons will open up to them and the organization.
Professor of AI and Strategy
Amit Joshi is Professor of AI and Strategy at IMD and Program Director of the AI Strategy and Implementation program, Generative AI for Business Sprint, and the Business Analytics for Leaders course. He specializes in helping organizations use artificial intelligence and develop their big data, analytics, and AI capabilities. An award-winning professor and researcher, he has extensive experience of AI and analytics-driven transformations in industries such as banking, fintech, retail, automotive, telecoms, and pharma.
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