Artificial Intelligence in Service of HR -
Practical Possibilities
We hear about AI constantly, yet the picture often remains blurry.
It’s already present in our workplaces, sometimes without us noticing. But there is still little conversation about how it can genuinely work in our favour.
We have a tool with vast potential, but it often feels like we’re missing the manual. Fortunately, practical examples and good practices are starting to emerge — and HR is no exception.
In the latest episode of our Game Changers podcast, Anna Török, Senior Learning and Development Specialist at Sony Europe, shared her view on how AI can support HR in everyday operations.
The Future of HR Practices
deliver faster and more targeted results. Internally, skill mapping helps optimise learning and development and identify internal candidates. Big Data can speed up the search process from start to finish.
Anna Török works with a “Work Smart, Not Hard” approach and sees AI as part of that, provided there are clear boundaries:
“There’s internal company data — but also external Big Data — that needs to be handled carefully and with legal constraints in mind. But if we already have a system in place and proper monitoring, then both internal and external datasets can be used by AI to draw conclusions. This helps both L&D experts and users find relevant opportunities more easily!”
As long as data protection rules are respected and usage is transparent, AI can become a valuable tool at every level of HR — from finding the right candidate to offering the right training.
Skill Maps and Customisable Taxonomies
Mapping employee skills is a cornerstone of strategic HR. AI-generated skill taxonomies can help structure and track competencies while reducing administrative work.
“These taxonomies are essentially lists of skills and competencies — not only linked to people (e.g., I enter my own skills into the system), but also to job positions (what skills are needed for a given role), and even to courses. If I attend a training that develops a certain skill, the system registers and tracks that,” explains Anna Török.
Employees can see which skills they have, which ones they could develop, and which courses might help them progress. Flexibility is key — systems should adapt to both individual preferences and company culture. This can include:
Manager-verified skill assessments (for data reliability)
Position-specific weighting of different skills
Keeping Automation Human-Centred
One common fear about AI is losing control or removing the human element. But delegating repetitive tasks to AI can free up time for human-level thinking and decision-making.
From the employee’s perspective, it matters that people feel there are humans behind the process — and that decisions aren’t made solely by algorithms.
“We never make it mandatory or say: ‘You can only do this with AI.’ If someone wants to use the training platform, if they want to add skills to their profile to find the most logical next step in their career — or how to reach a specific goal — they can. The opportunity is there for them.”
The takeaway: AI is not the destination, it’s a tool. Used with clear guidelines, it can open new opportunities in HR. If you’d like to explore how AI could make your HR processes more effective while keeping people at the centre, listen to the latest Game Changers podcast episode.




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