I’ve been working on my family tree. It’s slow work.
You chase one name for days and come up with nothing. Then a hint pops up on the screen, and it looks like exactly what you were hunting.
That’s where the trouble starts. The hint says it’s your man. Right name, close enough dates, the right part of the country. All you have to do is click “accept.” One click, and he’s in your tree for good.
Plenty of folks click it. I understand why. You’ve been digging a long time, and here’s an answer handed to you. It feels like a reward for the work. But a hint is not a fact. A hint is a guess the machine made for you.
Here’s what happens next. Somebody else is building a tree on the same family. They see your entry and copy it. Then ten more people copy theirs. Before long, a hundred trees all agree. And every one of them traces back to a single click that nobody checked.
That’s how a mistake grows up and starts looking like the truth. Not because anyone lied. Because everybody trusted the one before them. A hundred copies of one error is still one error. It just wears a bigger coat.
Good genealogists have a rule for this. Nothing goes in the tree until two records agree. A census and a death record. A marriage notice and an obituary. Two separate sources, made by different people, for different reasons, saying the same thing. One record is a hint. Two records that line up is a fact you can stand on.
It’s a simple rule. It’s also slow. That’s why so many skip it. But the slow way is the only way the tree holds up when somebody leans on it.
Now I want you to think about the AI on your phone. Or the one on your computer at work. Because it does the same thing that hint does. It hands you an answer that looks finished. It sounds sure of itself. And it’s waiting for you to click “accept.”
Most people do. They ask a question, get an answer, and pass it along. They put it in a report. They tell a friend. They make a decision on it. And nobody stops to ask where it came from.
Here’s something you should know. The machine sounds the same whether it found the answer or made a good guess. It doesn’t sweat. It doesn’t stammer. A wrong answer comes out of it in the same steady voice as a right one. You can’t tell by listening.
I saw this up close this week. I asked an AI to find an old obituary for me. It searched and searched. It came back empty, time after time. To its credit, it told me so. It said the records I wanted were behind doors it couldn’t open. Paywalls. Old microfilm. Search boxes it couldn’t reach.
That was an honest answer. But think about how easy it would have been to get a dishonest one. A made-up date. A newspaper that sounded right. A name that fit. I might never have known the difference.
So here’s the rule I’m asking you to carry. Treat every AI answer like a hint. Not a fact. A hint. Before it goes in your tree, before it goes in your report, before it goes out your mouth to somebody else, find a second record.
That second record has to come from outside the machine. Not the same AI asked a different way. Not another AI that read the same pile of words. Something separate. A document. A person who knows. A source you can put your finger on.
If the two agree, you’ve got something. If they don’t, you’ve got a question. Either way, you’re better off than the fellow who clicked “accept” and walked away.
Some folks will say that’s too much work. The whole point of the machine is to save time. I hear that. But think about what it costs to be wrong. A bad branch in a family tree sends your grandkids down the wrong road. A bad fact in a work report can cost a job. A bad answer on a medicine or a contract can cost a lot more.
The time you save by skipping the check is borrowed. Sooner or later, somebody pays it back.
This is where responsibility lands. Not on the machine. On you. The company that built it won’t be standing next to you when the mistake comes due. The machine won’t apologize to your boss. You’re the last watchdog between that answer and the world.
That’s not a burden. It’s the job. Same as it’s always been. Before there were computers, a smart man didn’t believe everything he read in the paper either. He checked. He asked around. He waited for a second voice before he made up his mind.
The machine didn’t change that rule. It just made it easier to forget.
There’s one more thing worth saying. You can ask the machine to help you keep the rule. Tell it to name where its answer came from. Tell it to say when it’s guessing. Tell it to admit what it couldn’t reach. A good one will do it. And if it won’t, that tells you something too.
That’s what a level playing field looks like. The machine brings what it knows. You bring your judgment. Neither one gets to run the show alone. The answer has to earn its place, same as a name in a family tree.
So the next time an answer pops up looking finished and sure of itself, slow down. Don’t click “accept” just yet. Ask yourself one question.
Where’s my second record?
If you can find it, you’re standing on solid ground. If you can’t, you’re holding a hint. Treat it like one.
That’s the whole lesson. Two records. One from the machine, one from the world. When they agree, you can build on it. When they don’t, you keep digging.
It’s slow. It’s honest. And it holds up when somebody leans on it.
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This post was drafted with AI governed assistance and reviewed and directed by Michael S. Faust Sr. before publication.
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