Jul 1, 2026 · 12 min · 9 segments
In this compilation episode of *The Parlor Room Presents: Hello AI,* host and Harvard Business School Online Creative Director Chris Linnane explores one of the biggest challenges in artificial…
When you're working with gen AI or agentic AI too, the, the issue is, is the, the-- there's-- you are the y- the, the human is, at this point anyway, you're bringing the judgment to the, to the s- the, the equation or the solution, right? Because the, the-- these are just mathematic-- these are equations that are running, right? There's someone's...
But to figure out the use case and whether it's how to design it in a way that it, it will solve the problem that you want it to solve, use case, and/or w- to look back and say, "Well, did it really do it?" given that we know the technology's still evolving, you have to have pretty good judgment about what really matters.
And one of the things that executives are telling me who are deploying all of these different tools is y- you have to keep reminding people that it isn't human, because one of the things that sort of tricks you about it is it looks like it's human.
It turns out that people-- if you tell, uh, people this solution is the result of machine learning-
When you're working with gen AI or agentic AI too, the, the issue is, is the, the-- there's-- you are the y- the, the human is, at this point anyway, you're bringing the judgment to the, to the s- the, the equation or the solution, right? Because the, the-- these are just mathematic-- these are equations that are running, right? There's someone's...
But to figure out the use case and whether it's how to design it in a way that it, it will solve the problem that you want it to solve, use case, and/or w- to look back and say, "Well, did it really do it?" given that we know the technology's still evolving, you have to have pretty good judgment about what really matters.
And one of the things that executives are telling me who are deploying all of these different tools is y- you have to keep reminding people that it isn't human, because one of the things that sort of tricks you about it is it looks like it's human.
It turns out that people-- if you tell, uh, people this solution is the result of machine learning-
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