THE TECHNOLOGY INTERVIEW
“ A student sitting in front of a professor, needing to articulate exactly what they know, truly demonstrates their depth of learning.”
Dave is equally direct about where he thinks the industry gets ahead of itself. He describes talk of fully autonomous agents replacing jobs as overstated, while pointing to agent verification – the process of assessing what a given AI agent is actually capable of – as an area deserving closer attention. Pearson has already built a working AI Agent Verification prototype in that space, drawing on its background in assessing people rather than machines.
Built with IBM Consulting, the prototype applies the company’ s decades of human credentialing experience to autonomous machines. The system continuously tests and audits digital agents to certify they can safely execute corporate workflows without veering outside their designated boundaries.
By treating software agents like employees who need to earn a skill credential, the platform provides businesses with a standardised framework to govern and trust their AI workforce.
Reflecting on what continues to motivate him, Dave returns to something more personal than any product roadmap.
“ It takes a lot of courage to learn,” he says.“ Learning, actually, is meant to be hard. If it’ s not difficult and you’ re not getting your brain to actually do work, then you won’ t learn.”
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