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The ‘CARMEL’ Artificial Intelligence, Revolutionizes the Detective Industry and it Writes a Poem

The ‘CARMEL’ Artificial Intelligence, Revolutionizes the Detective Industry and it Writes a Poem

Hunting a serial killer is, according to experts, a fundamentally different type of detective work. For decades, the top investigators in this hyper-specialized field have turned to . In 2017, AI is revolutionizing the industry.

There’s a dark future ahead for serial killers, but first machines need to understand what they’re dealing with. There’s an adage that goes “to catch a killer, you have to think like one” and this is true of computers as much as men.

One academic, in conjunction with The History Channel, is teaching AI to think like a killer by exposing it to all the information available on The Zodiac Killer. As reported by History.com’s Brynn Holland and Missy Sullivan:
“In the late 1960s and early 1970s, the self-named murderer terrorized Northern California with a succession of random killings and taunting letters to the police and newspapers. Four of those communiqués contained ciphers filled with perplexing letters and abstract symbols. Cryptologists consider the Zodiac’s 340-character cipher, sent to The Chronicle in November 1969, a holy grail of sorts.”

The AI, named CARMEL, and its creator, Kevin Knight, already have a legacy. They broke a code called the Copiale Cipher, that’d held its secrets unsolved since the 18th century.

Another fun fact about CARMEL: it’s quite the accomplished poet. The machine creates impromptu poetry on demand (and free of charge) on its website. You can check it out here and, as you may have guessed, its work is decidedly creepy.

Solving an old case, however, won’t necessarily provide any actionable insight on our current serial killer problem. In order to take the hunt for these very real monsters to the next level, we need to treat the data we have on serial killers as seriously as Facebook treats the data it has on your family. This requires AI.

The New Yorker recently profiled Thomas Hargrove and his algorithms. Together, along with several other team members, they comprise the Murder Accountability Project (MAP). The group writes:
“America does a poor job tracking and accounting for its unsolved homicides. Every year, at least 5,000 killers get away with murder. The rate at which police clear homicides through arrest has declined over the years until, today, about a third go unsolved.”

On the MAP website, users can search through its of current and historical murder statistics, like a Google Analytics for killings. It appears limited to the US, but otherwise it’s a tool, and a fine example of how AI can be used for the forces of good.

Even when AI isn’t purpose built for tracking serial killers or cracking codes, it still represents a future bright with potential. Just like oncologists will one day rely on AI to confirm their diagnoses (or even provide them), it’ll be imperative that all data gathered at a crime scene be run by an AI that can produce leads or direct investigations.

Agencies are beginning to employ AI, like Veritone’s, to sift through video. This is a task that we’ve had to rely on humans to do traditionally. In a future where thousands of hours of can be analyzed instantly, our ability to connect the dots between one murder and the next will increase exponentially.

Credits: https://thenextweb.com/artificial-intelligence/2017/12/07/ai-is-unraveling-the-mysteries-of-the-serial-killer-mind/

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