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AI debate as a tool for judging hard questions
AI debate means asking AI systems to argue opposite sides of a question, so that a person can judge between the strongest cases rather than accept a single smooth answer. Done well, it brings out objections a lone answer would bury. Done poorly, it produces a long exchange that leaves the reader where they began.
Why debate can help
A single answer tends to follow the framing of the question. Ask whether to expand into a market and the reply leans toward the reasons to expand. Assigning one side to argue for and another to argue against brings both sets of reasons into view.
Researchers have also studied debate as a way for a person to check answers they could not easily produce alone. Judging which of two arguments holds up is often easier than working out the answer from nothing.
Running a useful debate
State the question as a choice between named options rather than an open topic. Give each side the same facts and the same length. Ask each side for its three strongest claims, one sentence apiece, followed by its best answer to the other side's strongest claim. Then judge the claims, not the speeches: which are supported by evidence, which are only asserted, and which went unanswered.
What to keep afterwards
Keep the claims that survived, the evidence behind them, and the one objection neither side could answer. That short record is the whole value of the exercise. The transcript itself can be set aside; nobody will reread it, and nobody should need to.
The common mistake
Judging the debate by its style. A fluent, confident side can win a reader's sympathy while making claims that would not survive a check. The other mistake is letting the debate stand in for the decision: the exchange informs a judgment, and someone still has to make that judgment and own it.
From debate to Verdict
Argumont arranges the debate around the options. Each option has its own Champion, the Challenger attacks the weakest reasoning, and the Inspector marks every claim supported, partly supported, unverified, or contradicted, so the result turns on evidence rather than eloquence. The Judge decides what survived and issues a Verdict, which can say No Strong Winner Yet. The Human Decision stays with the person who asked.
Resellers or a direct team
A firm asks whether to sell through resellers or build a direct sales team. The case for resellers claims faster reach: 30 partners closing 4 deals a year each, or 120 deals. The case for direct sales claims better margin, since resellers keep 25 percent, or $5,000 of an average $20,000 deal. The attack on resellers cites the firm's own pilot, in which five partners averaged 2 deals each in their first year. Worked again, resellers bring 60 deals worth $900,000 after the partner share. A direct team of four, costing about $160,000 a person, would need about 77 deals to cover its own cost and still match that figure, or roughly 19 for each seller. The debate ends with one question worth researching: can a direct seller in this market close 19 deals a year?
Questions
- Is AI debate reliable?
- As reliable as the judging. Debate brings the strongest objections to the surface, but each claim still needs checking against evidence before it carries weight.
- How is AI debate different from asking for pros and cons?
- A single answer listing pros and cons is written from one framing, and both columns tend to be mild. Separate sides with opposing assignments press their cases harder and must answer each other.
Further reading
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