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Argument Technology - the Key Value of IBM's Debating Computer

The real value of argument technology as a whole is going to be delivered not in the debating chamber but in applications in which AI systems can contribute to human decision-making teams. Whether in the police incident room, the intelligence analysis bunker or the classroom, it can only be a good thing to increase the robustness of evidence-based decision making by introducing AI systems that can contribute to the conversation. They will be able to add new information or critique human reasoning.
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Using AI to Improve Human Arguments

Using AI to Improve Human Arguments | Language Tech Market News | Scoop.it

A Univ of Dundee (UK) project to provide argument-support using AI monitoring: "Ultimately, the goal is not to build a machine that can beat us at an argument. Much more exciting is the potential to have AI software contribute to human discussion – recognising types of arguments, critiquing them, offering alternative views and probing reasons are all things that are now within the reach of AI.

LT-Innovate's insight:

Interesting experiment in using TV debating data to model argument success using #ML. Could be extended to revealing successful/failed arguments in written text for multiple application in law, international diplomacy, organisation theory etc. Would need to go multilingual.

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From Winning at Jeopardy to Struggling to Argue with IBM's 'Debater'

From Winning at Jeopardy to Struggling to Argue with IBM's 'Debater' | Language Tech Market News | Scoop.it

Jeff Welser, Lab Director for IBM research at Almaden says that it “helps us understand how language is used,” by teaching a system to work in a rhetorical context that’s more nuanced than the usual Hey Google discourse of give me this piece of information and turn off my lights. Perhaps it might someday help a lawyer structure their arguments, “not that Project Debater would make a very good lawyer,” he joked. Another IBM researcher suggested that this technology could help judge fake news.

LT-Innovate's insight:

Basically, arguments (i.e. deductions from experience) become the new data because machines only "experience" data. Humans come with their personal history/memory banks as well.

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