Your Team Is Already Using AI. They Just Won't Tell You. | Priyanka Dave, PhD | PODCAST EPISODE | An Analog Brain In A Digital Age With Marco Ciappelli
Episode Ep 2682 30 min 38s

Your Team Is Already Using AI. They Just Won't Tell You. | Priyanka Dave, PhD | PODCAST EPISODE | An Analog Brain In A Digital Age With Marco Ciappelli

PODCAST EPISODE | An Analog Brain In A Digital Age With Marco Ciappelli

Every organization has a policy on AI. Most of them are unwritten, unspoken, and enforced by silence. Priyanka Dave β€” behavioral scientist, dual PhD, and the person responsible for teaching an entire university system how to work with these tools β€” explains what actually happens inside a company that refuses to say the word out loud.

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This conversation sat in my queue for months.

I recorded it back when the show still went by another name, filed it under soon, and then buried it under travel, deadlines, and the small avalanche of everything else. So: my apologies to Priyanka Dave, who deserved better timing. What I did before publishing was listen to the whole thing again, half expecting it to have gone stale β€” AI conversations have the shelf life of fresh milk β€” and it hadn't. Not one line. That is either a compliment to her or an indictment of the rest of us. Possibly both.

Here is what has held up.

Priyanka Dave is a behavioral scientist with two doctorates and the unglamorous job of teaching a large public institution how to actually use these tools. Her diagnosis is not about the technology. It is about what happens when nobody in charge will say anything about it. An organization that stays quiet on AI does not prevent its people from using AI. It only stops hearing about it. Employees keep working the way they were already working β€” with a chatbot open in the next tab β€” and they simply stop mentioning it. The tool doesn't go away. The conversation does.

I cover cybersecurity for a living, so I recognized this immediately. It's shadow IT with a better vocabulary. And shadow IT was never a technology failure β€” it was a communication failure that grew teeth. The same thing is happening now, except the data walking out the door isn't on a USB stick. It's being pasted into a text box by someone who was never told where the line is, because nobody in the building was willing to draw one.

The schools got there first, and got it wrong first. Ban it, some of them announced, and the students used it anyway β€” badly, secretly, without a shred of judgment about when the machine is confidently wrong. Prohibition didn't produce abstinence. It produced amateurs. It always does.

So Priyanka's answer is education, and here I pushed, because education has a recursion problem. If the leader is supposed to model good AI use, who taught the leader? I asked her: who educates the educator? Her answer was refreshingly unromantic. Nobody, mostly. Budgets get cut, leadership development is the first line item to go, and the executives left standing are quietly teaching themselves at night so they don't look foolish in the morning. The people expected to be the role models are improvising just like

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