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Most of us dream of a future where our most mundane tasks are handled by artificial intelligence,
but we may still have to wait a while for that.
Why, you ask?
Just take a look at these top ten times artificial intelligence has gone off course - and you
should have your answer!
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10.
The D-Student Bot If you’re going to send an artificial intelligence
to school, chances are you expect it to ace every exam put in its path.
In 2011, a team of researchers from the National Institute of Informatics created an AI that
they hoped would gain admission into the University of Tokyo or Todai.
The AI, aptly named Todai Robot, had shown improvements over its academic performance
through the years but was ultimately stumped by a series of questions requiring an understanding
of broader meanings. 9.
The Boy Fighting Bot Knightscope, Inc. recently implemented a robot
dubbed K5 in an effort to “intimidate criminals.”
The 5’ (1.5 m)-tall bot is equipped with sensors, lasers, and coding that are meant
to gather and transmit real-time data and on-the-spot alerts to prevent crime in public
places like the Palo Alto shopping mall in California.
Instead, the bot has shown a tendency to just run over children that get in its way.
In a 2016 incident, the son of Tiffany Teng met the wrong end of K5 when the child fell
to the ground after running into the bot.
Despite sensors and an awareness of its surroundings, K5 ran over the child’s leg.
8.
Bested by Comics A team at the University of Maryland in College
Park, spearheaded by Mohit Iyyer, let their curiosity get the best of them when they tested
just how well an AI could follow the flow of comic books.
Iyyer and his researchers selected a series of comics and built a database of over 1.2
million panels within the learning machines.
The AI was then tested by first being shown a sequence of panels and then being tasked
with predicting which panel would follow.
In human tests, the subject was correct 80% of the time while the machine fell well below
this accuracy.
7.
The Racist Beauty Judge In mid-2016, Wayco International Limited launched
a unique use for an artificial intelligence – a beauty contest judged entirely by robots.
Allegedly, a team of biogerontologists and data scientists had developed a series of
algorithms that could accurately assess the criteria used when determining beauty and
health of a person, which became the cornerstone of the “First International Beauty Contest
Judged by Artificial Intelligence.”
Looking through the selection of winners, there appears to be a common denominator amongst
them – approximately 80% of them appeared white or light skinned.
Of course, the AI didn’t build its own algorithm, leading us to question precisely what was
fed into their processors.
6.
Losing to a Human Though Google’s AlphaGo AI wound up winning
the five-game series of Go it played against Korean Go master Lee Sedol, it didn’t do
so in a complete sweep.
In one match during the series, Sedol found a way to beat the AI in the 2,500-year-old
complex game.
Even after losing to Sedol in game four, AlphaGo nearly lost game five after making a rather
notable, albeit amateur, error.
AlphaGo may have ultimately won, but its hiccups proved that current AI technology lacks the
human intuition that allowed Sedol to earn one victory.
5.
Beyond Coding Bugs and self-alterations in AI coding have
been a trope in many science fiction movies, but video game developer Frontier saw it happen
first hand in its AI-heavy game, Elite Dangerous.
After an update to the game was released, Frontier noticed that the AI was making use
of its newly learned in-game crafting feature and upgraded competency in an unexpected way.
The intelligence had started to hunt down players and attack them with devastating superweapons
that were never meant to exist in the game.
Not wanting to alter the experience and strip the AI, Frontier is handling the issue in
stages, though it did remove the base weapons responsible for their super-powered varieties.
4.
The Racist Prophet The criminal justice system can be flawed
as it relies on human judgment for many decisions.
Take the humanity out of the equation and you should have yourself a near-perfect system.
That was the intended point of Northpointe, an AI designed to predict a criminal’s likelihood
of being a repeat offender.
While it sounds promising, the issue was found to have a potential bias against black people.
During a thorough investigation of the system, which bases its predictions on a series of
137 questions, it was found that it predicted blacks as 77% more likely to commit future
violent crimes and 45% more likely to commit any sort of crime.
3.
The Failbook AI Facebook is constantly looking for the “next
big thing,” and in 2016, attempted to enter the realm of artificial intelligence with
a bot API designed specifically for the Messenger IM service.
Modeled after TenCent’s WeChat, Zuckerberg’s vision was far less successful and showed
a failure rate of 70%.
During conversations, the AI was intended to respond to user requests, but implementation
showed that it could only do so 30% of the time without a human element eventually being
involved.
In light of the failure, Facebook pulled the some 30,000 chatbot AIs from the system.
2.
Tesla’s Autopilot Maybe less of a failure and more of a clear
indicator of how unreliable AI-controlled systems can be, in May of 2016, Tesla suffered
a blow to its push towards autonomous driving when one of its vehicles was involved in a
deadly crash.
Driver Joshua Brown was operating his Tesla Model S in Autopilot mode when the vehicle
crashed into a white tractor-trailer.
The system had difficulty recognizing the truck against the sunny backdrop and Brown
had become too trusting of the automated drive feature.
Though Tesla’s onboard AI was cleared of any wrongdoing, a non-fatal crash in March
of 2017 stresses the importance of not putting your life entirely in the hands of machines.
1.
Tay the Nazi Chatbot Dear innovators of artificial intelligence:
don’t design a system that mimics and learns from people on the internet.
Ever.
It’s a disaster waiting to happen, as Microsoft found out when it released Tay onto the world
of Twitter in 2016.
The AI chatbot was modeled after a teenage girl and was supposed to interact with users,
learning from conversations.
Cue outlets like 4Chan, which had a clear picture of what they wanted Tay to be.
By the end of the first day online, Tay had been molded into a red-blooded, racist Nazi
that expressed support for Hitler… you know, just like the average teenage girl these days.
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