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Insurance company uses Facebook data to issue rates, shows bias

And, finally, this year England’s largest vehicle insurer, Admiral Insurance, set out to use Facebook users’ posts to see there was a correlation between their use of the social media site and whether they would make good first-time drivers.

While this isn’t a straight AI failure, it is a misuse of AI. Walsh said that “Facebook did a good job in blocking this one.” The endeavor, which was called “firstcarquote,” never got off the ground because Facebook blocked the company from accessing data, citing its policy that states companies can’t “use data obtained from Facebook to make decisions about eligibility, including whether to approve or reject an application or how much interest to charge on a loan.”

As evidenced by these examples, AI systems are deeply prone to bias—and it is critical that machine learning algorithms train on diverse sets of data in order to prevent it. As AI increases its capabilities, ensuring proper checks, diverse data, and ethical standards for research is of utmost importance.

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The Positive and Negative Effects of Artificial Intelligence on Our Lives

Artificial IntelligenceArtificial Intelligence effects our lives in good and bad ways Artificial Intelligence helps us by causing less work for us to do. A down side to Artificial Intelligence is that it can not think for it self it still has to have some kind of person or other intelligence to control it.The advantages that Artificial Intelligence has are the ability to do work without getting any rest, sleep and food. It has little learning capability of its own but not enough to think on its own. Most computer programs that involve Artificial Intelligence designed to supply both the knowledge and the reasoning of human experts in a given field may well be the consultants of the future. They have already been used in such diverse areas as mineral exploration and computer manufacturing. As more and more Artificial Intelligence is developed it could be used by nonexperts as well.Artificial Intelligence can also resemble the way a mouse works. A mouse can be used to draw lines, to point, and to circle objects to be moved, transposed, or edited. Once the command has been selected on the screen, the click of a button on the mouse activates it. This Artificial Intelligence, by the computer, is in a way that involves human intelligence with the computer.Some disadvantages of Artificial Intelligence are the fact that the computer cant think for it self, it always has to have some kind of other intelligence controlling it such as people and the fact that it cannot think for it self makes the computer vulnerable to malfunctions and shut downs. Another disadvantages is all English language must be turned into numbers consisting of ones and zeros so the computer will understand.Problems that are usually involved in Artificial Intelligence is when the computer is capable of learning on its own and causes situations where our personal information is changed, it will change our lives too.

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Exploring the risks of artificial intelligence

“Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next ten.”

These words, articulated by Neil Armstrong at a speech to a joint session of Congress in 1969, fit squarely into most every decade since the turn of the century, and it seems to safe to posit that the rate of change in technology has accelerated to an exponential degree in the last two decades, especially in the areas of artificial intelligence and machine learning.

Artificial intelligence is making an extreme entrance into almost every facet of society in predicted and unforeseen ways, causing both excitement and trepidation. This reaction alone is predictable, but can we really predict the associated risks involved?

It seems we’re all trying to get a grip on potential reality, but information overload (yet another side affect that we’re struggling to deal with in our digital world) can ironically make constructing an informed opinion more challenging than ever. In the search for some semblance of truth, it can help to turn to those in the trenches.

In my continued interview with over 30 artificial intelligence researchers, I asked what they considered to be the most likely risk of artificial intelligence in the next 20 years.

Some results from the survey, shown in the graphic below, included 33 responses from different AI/cognitive science researchers. (For the complete collection of interviews, and more information on all of our 40+ respondents, visit the original interactive infographic here on TechEmergence).

Two “greatest” risks bubbled to the top of the response pool (and the majority are not in the autonomous robots’ camp, though a few do fall into this one). According to this particular set of minds, the most pressing short- and long-term risks is the financial and economic harm that may be wrought, as well as mismanagement of AI by human beings.

Dr. Joscha Bach of the MIT Media Lab and Harvard Program for Evolutionary Dynamics summed up the larger picture this way:

“The risks brought about by near-term AI may turn out to be the same risks that are already inherent in our society. Automation through AI will increase productivity, but won’t improve our living conditions if we don’t move away from a labor/wage based economy. It may also speed up pollution and resource exhaustion, if we don’t manage to install meaningful regulations. Even in the long run, making AI safe for humanity may turn out to be the same as making our society safe for humanity.”

artificial intelligence

Essentially, the introduction of AI may act as a catalyst that exposes and speeds up the imperfections already present in our society. Without a conscious and collaborative plan to move forward, we expose society to a range of risks, from bigger gaps in wealth distribution to negative environmental effects.

Leaps in AI are already being made in the area of workplace automation and machine learning capabilities are quickly extending to our energy and other enterprise applications, including mobile and automotive. The next industrial revolution may be the last one that humans usher in by their own direct doing, with AI as a future collaborator and – dare we say – a potential leader.

Some researchers believe it’s a matter of when and not if. In Dr. Nils Nilsson’s words, a professor emeritus at Stanford University, “Machines will be singing the song, ‘Anything you can do, I can do better; I can do anything better than you’.”

In respect to the drastic changes that lie ahead for the employment market due to increasingly autonomous systems, Dr. Helgi Helgason says, “it’s more of a certainty than a risk and we should already be factoring this into education policies.”

Talks at the World Economic Forum Annual Meeting in Switzerland this past January, where the topic of the economic disruption brought about by AI was clearly a main course, indicate that global leaders are starting to plan how to integrate these technologies and adapt our world economies accordingly – but this is a tall order with many cooks in the kitchen. 

Another commonly expressed risk over the next two decades is the general mismanagement of AI. It’s no secret that those in the business of AI have concerns, as evidenced by the $1 billion investment made by some of Silicon Valley’s top tech gurus to support OpenAI, a non-profit research group with a focus on exploring the positive human impact of AI technologies.

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