Is Truth The Theme for 2017? 

Can artificial intelligence help in the pursuit of truth?

What is truth? How do we know when a thing is true? Philosophers have debated these age-old questions for centuries.

The ancient Greeks believed a statement was true if it conformed to an external reality — in other words, a statement was true if it accurately described a real thing or event. Another theory called the consensus theory holds that the truth can’t be known objectively; therefore, the truth is whatever people agree is true. The pragmatic theory of truth, introduced at the start of the 20th century, asserts that what is best for the majority of people should be considered true. Another 20th-century theory, constructivism, believes that what constitutes truth is culturally and historically specific.

Today the question of what is true has taken on a greater immediacy. High-speed computers, working on massive amounts of data, drown us in information overload.  Consequently, finding the truth is harder than ever. This could be why we live in an era of what the comedian Stephen Colbert calls “truthiness.” Daily we are confronted with fake news and alternative facts posing as the truth. A polarized public finds it harder and harder to agree on what the truth really is — and this has negative ramifications for society at large. Society needs to know the truth if it wants to successfully address the environmental, political, economic, and cultural issues confronting us.

One thing everyone agrees on: With so much information available on virtually every subject, finding the kernels of truth in the welter of data can be extremely difficult.

Part of the problem lies in the fact that what is real is not necessarily true. As anyone who has read a murder mystery knows, what is true depends on how the facts are sequenced or connected.

Kyndi AI tools go behind verifying or restating the facts. The tools are capable of making connections and inferences among different facts. They are capable of mapping a context for information and, within that context map, determining whether facts balance out and are therefore accurate and true.

Kyndi artificial intelligence tools can do this because Kyndi combines symbolic AI and mathematical techniques borrowed from quantum physics (which permits more than binary answers). Kyndi allows users to sift through massive amounts of unstructured data — documents, e-mails, social posts, photos, and videos —to answer questions in real time.

Many people believe that machines aren’t capable of distinguishing truth from falsehood. The ability to do that, they believe, requires a certain amount of intuition — something that machines don’t possess.

However, you could argue that what we call intuition is the ability to process numerous bits of information quickly to make connections and associations that verify a truth of falsehood. By that definition, you could say that Kyndi AI machines are capable of intuition. Certainly they are capable of working at the speed of intuition.

Will we someday have artificial intelligence tools that tell us what is true? By its application of quantum science to artificial intelligence, Kyndi technology may provide the answer to that question.