from the world's big
A.I. will serve humans—but only about 1% of them
AI is leaving human needs and democracy behind in its race to accomplish its current profit-generating goals.
It doesn't have to be this way, but for now it is: AI's primary purpose is to maximize profits. For all of the predictions of its benefits to society, right now, that's just window-dressing—a pie-in-the-sky vision of a world we don't actually inhabit. While some like Elon Musk issue dire warnings against finding ourselves beneath the silicon thumbs of robot overlords, the fact is we're already under threat. As long as AI is dedicated to economic goals and not societal concerns, its tunnel vision is a problem. And as so often seems to be the case these days, the benefits will go to the already wealthy and powerful.
Right now, while artificial intelligence is focusing on profit-generation, natural intelligence has proven to be more than up to the task of manipulating it, as if sneaking up behind someone distracted by a shiny object.
We're coming to understand just how adroitly AI can be played as we learn more and more about Russia's manipulation of social media during the 2016 presidential election. Facebook's much-lauded AI was working to “consume as much of your time and conscious attention as possible," as Facebook's first president Sean Parker recently put it to Mike Allen. After all, as we've often been told, “You're not the customer—you're the product" meant to draw advertisers to the platform. Cleverly parsing our newsfeeds for clues to our most addictive interests and associations, Facebook's AI somehow completely failed to notice it was being gamed by Russia, as noted in this stunning exchange between Senator Al Franken and Facebook General Counsel Colin Stretch:
What neither man explicitly says is that it was not the job of Facebook's AI to do anything but maximize the platform's profits. Democracy? Not Facebook's problem—until it was. Stretch's classic tech-speak/euphemism is that Facebook's algorithms should have had a “broader lens."
This lack of a broader lens is at the root of growing concerns that automation is going to mean the loss of a significant number of jobs. Katherine Dempsey, writing for The Nation, discussed the issue via email with deep-learning expert Yoshua Bengio, and he summed up the end game this way:
“AI will probably exacerbate inequalities, first with job disruptions—a few people will benefit greatly from the wealth created, [while] a large number will suffer because of job loss—and second because wealth created by AI is likely to be concentrated in a few companies and a few countries."
The future currently under construction is frightening if you're not among those few people. Dempsey cites a McKinsey & Company report, 'A Future That Works', describing a time in which fewer actually will. According to that report, 51% of all the work done in the U.S. economy could be automated at a savings for companies—and loss in workers' salaries—of $2.7 trillion. While only about 5% of all occupations could be fully automated, about a third of the work in 60% of them can be taken over by machines.
Dempsey also notes that AI is reinforcing existing biases. Its mistakes may be attributable to the narrowness of programmers' intentions and sensitivities, or not, but the algorithms are just not that smart so far. The New York Times cites Google Photos tagging black people as gorillas, the algorithms in Nikon cameras assuming Asian people are blinking, and a terrifying expose by ProPublica revealing that AI is being used to identify future criminals.
A Princeton study found that a “machine-learning program associated female names more than male names with familial attributes such as 'parents' and 'wedding.' Male names had stronger associations with career-related words such as 'professional' and 'salary.'" No surprise then that, as a Carnegie Mellon study found, Google is targeting ads for high-paying jobs primarily at men. Still, as Michael Carl Tschantz of the International Computer Science Institute admits, “We can't look inside the black box that makes the decisions."
And there's the problem at its basic level. As long as AI is primarily dedicated to advancing economic goals, its workings are likely to remain largely proprietary and thus unavailable for scrutiny—that's assuming its creators even know how it works. Our best—and maybe only—defense against this danger to our society is to educate ourselves and our children about AI and machine-learning technology so we aren't treating AI as some sacred form of modern magic whose workings and effects we're forced to unquestioningly accept. Forget robot overlords for now—it's the short-sighted greed of our human ones that should worry us.
Educators and administrators must build new supports for faculty and student success in a world where the classroom might become virtual in the blink of an eye.
- If you or someone you know is attending school remotely, you are more than likely learning through emergency remote instruction, which is not the same as online learning, write Rich DeMillo and Steve Harmon.
- Education institutions must properly define and understand the difference between a course that is designed from inception to be taught in an online format and a course that has been rapidly converted to be offered to remote students.
- In a future involving more online instruction than any of us ever imagined, it will be crucial to meticulously design factors like learner navigation, interactive recordings, feedback loops, exams and office hours in order to maximize learning potential within the virtual environment.
A leading British space scientist thinks there is life under the ice sheets of Europa.
- A British scientist named Professor Monica Grady recently came out in support of extraterrestrial life on Europa.
- Europa, the sixth largest moon in the solar system, may have favorable conditions for life under its miles of ice.
- The moon is one of Jupiter's 79.
Neil deGrasse Tyson wants to go ice fishing on Europa<div class="rm-shortcode" data-media_id="GLGsRX7e" data-player_id="FvQKszTI" data-rm-shortcode-id="f4790eb8f0515e036b24c4195299df28"> <div id="botr_GLGsRX7e_FvQKszTI_div" class="jwplayer-media" data-jwplayer-video-src="https://content.jwplatform.com/players/GLGsRX7e-FvQKszTI.js"> <img src="https://cdn.jwplayer.com/thumbs/GLGsRX7e-1920.jpg" class="jwplayer-media-preview" /> </div> <script src="https://content.jwplatform.com/players/GLGsRX7e-FvQKszTI.js"></script> </div>
Water Vapor Above Europa’s Surface Deteced for First Time<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="9c4abc8473e1b89170cc8941beeb1f2d"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/WQ-E1lnSOzc?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span>
New study shows white dwarf stars create an essential component of life.
- White dwarf stars create carbon atoms in the Milky Way galaxy, shows new study.
- Carbon is an essential component of life.
- White dwarfs make carbon in their hot insides before the stars die.
What Are White Dwarf Stars?<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="7b046e546ce994682b2553a8c978eb32"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/77a1KSxfaR0?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span>
Master negotiator Chris Voss breaks down how to get what you want during negotiations.
- Former FBI negotiator Chris Voss explains how forced empathy is a powerful negotiating tactic.
- The key is starting a sentence with "What" or "How," causing the other person to look at the situation through your eyes.
- What appears to signal weakness is turned into a strength when using this tactic.
3 Tips on Negotiations, with FBI Negotiator Chris Voss | Best of '16 | Big Think<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="b86d518e9f0c9f9d7a7c686e07798152"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/-FLlBchonwM?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>This question forces a response, but—and this is key—the other person has to consider your side of the argument. They have to look at the situation from your perspective if they hope to offer a solution.</p><p>Offering a real-world example, Voss mentions coaching a high-end real estate agent. They were leasing an expensive home in the Hollywood Hills. The first time the negotiators asked the "how" question, the leasing agent relented on a number of terms. A little while later, they asked again. This time, the agent said, "If you want the house you're going to have to do it," signaling that the end of negotiations had been reached. </p><p>Voss says that "how" is not the only word that works. "What" is also a powerful entry into negotiations, such as "What am I supposed to do?" Again, you're forcing the other person to empathize. </p><p>This is a particularly tricky skill during a time when most conversations are online. Nuance is impossible without the immediacy of pantomimes and vocal fluctuations. Whataboutism is too easy an escape. </p>
Aikido Morihei Ueshiba (1883 - 1969, standing, centre left), founder of the Japanese martial art of aikido, demonstrating his art with a follower, at the opening ceremony of the newly-opened aikido headquarters, Hombu Dojo, in Shinjuku, Tokyo, 1967.
(Photo by Keystone/Hulton Archive/Getty Images)<p>Online debates often amount to little more than frustrated individuals pulling out their hair. In his book, "Against Empathy," Yale psychology professor Paul Bloom writes that effective altruists are able to focus on what really matters in everyday life.</p><p>For example, he compares politics to sports. Rooting for your favorite team isn't based in rationality. If you're a Red Sox fan, Yankees stats don't matter. You just want to destroy them. This, he believes, is how most people treat politics. "They don't care about truth because, for them, it's not really about truth."</p><p>Bloom writes that if his son believed our ancestors rode dinosaurs, it would horrify him, but "I can't think of a view that matters less for everyday life." We have to strive for rationality when the stakes are high. When involved in real decision-making processes that will affect their life, people are better able to express ideas and make arguments, and are more receptive to opposing ideas. </p><p>Because we "become inured to problems that seem unrelenting," it's imperative to make the problem seem immediate. As Voss says, giving the other side "the illusion of control" is one way of accomplishing this, as it forces them to take action. When people feel out of control, negotiations are impossible. People dig their heels in and refuse to budge. </p><p>What seems to be weakness is actually a strength. To borrow another martial arts metaphor, negotiations are like aikido: using your opponent's force against them while also protecting them from injury. Forcing empathy is one way to accomplish this task. You may get more than you ask for without the other side ever realizing they surrendered anything.</p><p>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>