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The Human Factor and Learning Needs

Building Human Skills in the Age of AI: Asking the Right Questions

One often-overlooked aspect of AI is the skill it takes to use it effectively. For AI to perform at its best, humans need to ask the right questions and provide it with high-quality, relevant data. These are not innate skills; they require learning and development, especially as the workforce becomes more AI-enabled. Many employees across different roles and demographics—whether Gen Z, seasoned professionals, or those who feel less ‘tech-savvy’—are eager to understand how to work with AI but often feel underprepared. This learning gap is a priority.

Building AI literacy across teams helps ensure that AI usage aligns with organisational values, including inclusivity and ethical standards. For instance, it’s crucial that AI outputs are reviewed by staff who understand the importance of maintaining human oversight to avoid unintended biases or errors. Embracing this new skillset within the workforce not only supports responsible AI integration but also fosters a culture of continuous learning and ethical responsibility.

https://mayvin.co.uk/podcasts/the-research-hub-podcast-ai-and-the-future-of-work

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