The more I work with technology and data, the more I think the biggest AI question isn’t “How intelligent can we make these systems?”
It’s “How much should we trust them?”
My work has repeatedly brought me back to questions around verification, measurement, standards, and data quality. AI is making those questions even more important.
A system can produce an impressive answer in seconds, but that doesn’t automatically make the answer accurate, explainable, or useful.
Where did the data come from?
What assumptions are behind the output?
Can someone verify it?
And who is accountable when it’s wrong?
For me, the most interesting future of AI isn’t just more powerful models.
It’s building intelligent systems that people can understand, challenge, and trust.
