Tag Archives: artificial intelligence

machines of loving grace

Fresh Air has an interview with John Markoff, author of Machines of Loving Grace.

Markoff, the author of the new book Machines of Loving Grace, points out that artificial intelligence plays a role in many of our lives — sometimes without our even realizing it. “I have a car that I bought this year … that is able to recognize both pedestrians and bicyclists, and if I don’t stop, it will,” he says. “That’s a very inexpensive add-on that you can get for almost any car on the market now.”

Looking ahead, Markoff predicts further advances in driverless-car technology. He also foresees a generation of computer chips that don’t require batteries; instead, they would run on sunlight or vibration or sweat.

“In the next five years … this [computer chip] technology will fan out all around us and create applications we can’t even think about today,” he says. “They’ll be used for robotic sensors. They’ll be made to make robots more mobile. And they’ll be used to do a million other things we can’t even conceive of, and it will continue to transform our society.”

more on automation

The Economist has an article reviewing three recent papers on automation (i.e. robots, artificial intelligence) and employment. For two of the three papers, the bottom line is that automation has led to inequality in the past, because it means unemployment for some groups of people, but has led to overall economic growth and society-wide benefits in the longer term. The third paper, however, talks about the current exponential “explosion” of technological progress as a revolutionary development that cannot be compared to anything in the recent past. The last time anything like this happened was about 500 million years ago.

These are all open access, so I’ll put links to the papers below along with abstracts.

Autor, David H. 2015. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation.” Journal of Economic Perspectives, 29(3): 3-30.

In this essay, I begin by identifying the reasons that automation has not wiped out a majority of jobs over the decades and centuries. Automation does indeed substitute for labor—as it is typically intended to do. However, automation also complements labor, raises output in ways that leads to higher demand for labor, and interacts with adjustments in labor supply. Journalists and even expert commentators tend to overstate the extent of machine substitution for human labor and ignore the strong complementarities between automation and labor that increase productivity, raise earnings, and augment demand for labor. Changes in technology do alter the types of jobs available and what those jobs pay. In the last few decades, one noticeable change has been a “polarization” of the labor market, in which wage gains went disproportionately to those at the top and at the bottom of the income and skill distribution, not to those in the middle; however, I also argue, this polarization is unlikely to continue very far into future. The final section of this paper reflects on how recent and future advances in artificial intelligence and robotics should shape our thinking about the likely trajectory of occupational change and employment growth. I argue that the interplay between machine and human comparative advantage allows computers to substitute for workers in performing routine, codifiable tasks while amplifying the comparative advantage of workers in supplying problem-solving skills, adaptability, and creativity.

Mokyr, Joel, Chris Vickers, and Nicolas L. Ziebarth. 2015. “The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?” Journal of Economic Perspectives, 29(3): 31-50.

Technology is widely considered the main source of economic progress, but it has also generated cultural anxiety throughout history. The developed world is now suffering from another bout of such angst. Anxieties over technology can take on several forms, and we focus on three of the most prominent concerns. First, there is the concern that technological progress will cause widespread substitution of machines for labor, which in turn could lead to technological unemployment and a further increase in inequality in the short run, even if the long-run effects are beneficial. Second, there has been anxiety over the moral implications of technological process for human welfare, broadly defined. While, during the Industrial Revolution, the worry was about the dehumanizing effects of work, in modern times, perhaps the greater fear is a world where the elimination of work itself is the source of dehumanization. A third concern cuts in the opposite direction, suggesting that the epoch of major technological progress is behind us. Understanding the history of technological anxiety provides perspective on whether this time is truly different. We consider the role of these three anxieties among economists, primarily focusing on the historical period from the late 18th to the early 20th century, and then compare the historical and current manifestations of these three concerns.

Pratt, Gill A. 2015. “Is a Cambrian Explosion Coming for Robotics?” Journal of Economic Perspectives, 29(3): 51-60.

About half a billion years ago, life on earth experienced a short period of very rapid diversification called the “Cambrian Explosion.” Many theories have been proposed for the cause of the Cambrian Explosion, one of the most provocative being the evolution of vision, allowing animals to dramatically increase their ability to hunt and find mates. Today, technological developments on several fronts are fomenting a similar explosion in the diversification and applicability of robotics. Many of the base hardware technologies on which robots depend—particularly computing, data storage, and communications—have been improving at exponential growth rates. Two newly blossoming technologies—”Cloud Robotics” and “Deep Learning”—could leverage these base technologies in a virtuous cycle of explosive growth. I examine some key technologies contributing to the present excitement in the robotics field. As with other technological developments, there has been a significant uptick in concerns about the societal implication of robotics and artificial intelligence. Thus, I offer some thoughts about how robotics may affect the economy and some ways to address potential difficulties.

July 2015 in Review

I’m experimenting with my +3/-3 rating system again this month, just to convey the idea that not all stories are equal in importance. The result is that July was a pretty negative month! Whether that reflects more the state of the world or the state of my mind, or some combination, you can decide.

Negative stories (-21):

  • In The Dead Hand, I learned that the risk of nuclear annihilation in the 1980s was greater than I thought, and the true story of Soviet biological weapons production was much worse than I thought. (-3)
  • Elon Musk and Stephen Hawking, among others, are concerned about a real-life Terminator scenario. (-2)
  • I playfully pointed out that the Pope’s encyclical contains some themes that sound like the more lucid paragraphs in the Unabomber Manifesto, namely that the amoral pursuit of technology has improved our level of material comfort and physical health while devastating the natural world, creating new risks, and leaving us feeling empty somehow. (-1)
  • Bumblebees are getting squeezed by climate change. (-1)
  • The Cold War seems to be rearing its ugly head. (-2)
  • There may be a “global renaissance of coal”. (-3)
  • Joel Kotkin and other anti-urban voices like him want to make sure you don’t have the choice of living in a walkable community. (-2)
  • I think Obama may be remembered as an effective, conservative president, in the dictionary sense of playing it safe and avoiding major mistakes. Navigating the financial crisis, achieving some financial and health care reforms, and defusing several wars and conflicts are probably his greatest achievements. However, if a major war or financial crisis erupts in the near future that can be traced back to decisions he made, his legacy will suffer whether it is fair or not. (-0)
  • We can think of natural capital as a battery that took a long time to charge and has now been discharged almost instantly. (-3)
  • James Hansen is warning of much faster and greater sea level rise than current mainstream expectations. (-3)
  • Lloyd’s of London has spun a scenario of how a food crisis could play out. (-1)

Positive stories (+7):

AI Weapons

Stephen Hawking and others have signed a letter urging the world not to start a new artificial intelligence arms race, arguing that these weapons will be…

…feasible within years, not decades, and the stakes are high: autonomous weapons have been described as the third revolution in warfare, after gunpowder and nuclear arms.

Many arguments have been made for and against autonomous weapons, for example that replacing human soldiers by machines is good by reducing casualties for the owner but bad by thereby lowering the threshold for going to battle. The key question for humanity today is whether to start a global AI arms race or to prevent it from starting. If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow. Unlike nuclear weapons, they require no costly or hard-to-obtain raw materials, so they will become ubiquitous and cheap for all significant military powers to mass-produce. It will only be a matter of time until they appear on the black market and in the hands of terrorists, dictators wishing to better control their populace, warlords wishing to perpetrate ethnic cleansing, etc. Autonomous weapons are ideal for tasks such as assassinations, destabilizing nations, subduing populations and selectively killing a particular ethnic group. We therefore believe that a military AI arms race would not be beneficial for humanity. There are many ways in which AI can make battlefields safer for humans, especially civilians, without creating new tools for killing people.

Elon Musk vs. The Terminator

The Terminator is baaaaaack.

In related news, Elon Musk is worried about this actually happening:

The Boston-based Future of Life Institute (FLI) today announced the selection of 37 research teams around the world to which it plans to award about $7 million from Elon Musk and the Open Philanthropy Project as part of a first-of-its-kind grant program dedicated to “keeping AI robust and beneficial”. The program launches as an increasing number of high-profile figures including Bill Gates, Elon Musk and Stephen Hawking voice concerns about the possibility of powerful AI systems having unintended, or even potentially disastrous, consequences. The winning teams, chosen from nearly 300 applicants worldwide, will research a host of questions in computer science, law, policy, economics, and other fields relevant to coming advances in AI.

June 2015 in Review

Negative stories:

Positive stories:

robots

Here’s a robot learning some tasks on its own. It’s interesting that my two year old human child is roughly around this same stage – he has thoroughly mastered a couple of these tasks, like putting a ring on a stick or a peg in a hole. He is still getting the hang of others, like sticking together legos and screwing on a lid. He has other skills though that I doubt the robot has, like making fart jokes and flirting with pretty girls (which sometimes go together at this age).

February 2015 in Review

This blog got 173 hits in February! Pretty cool, considering I really just meant it as a place to collect my own scattered thoughts and refer back to them later. If 173 out of the 6 billion people out there like it, I am flattered. Okay, I understand there may have been a few repeat visitors. Also, judging from the most popular posts, there is one thing I mention occasionally that people really like: robots!

Negative trends and predictions:

  • Fresh Air had an interview with Elizabeth Kolbert, author of The Sixth Extinction. The idea here is that what humans are doing to other species is equivalent in scope to events that have killed off most life on Earth in the past.
  • The drought in the western U.S. continues to grind on.
  • There are some depressing new books out there about all the bad things that could happen to the world, from nuclear terrorism to pandemics. Also a “financial black hole”, a “major breakdown of the Internet”, “the underpopulation bomb”, the “death of death”, and more!
  • Government fragmentation explains at least part of suburban sprawl and urban decline in U.S. states, with Pennsylvania among the worst.

Positive trends and predictions:

  • Libraries are starting to go high-tech using warehouse robot technology.
  • I had a rambling post on technologies to watch: carbon fiber, the internet of things, self-driving cars and trucks, biotechnology for everything from carbon sequestration to cancer treatment to agriculture, and of course more automation, robots, and artificial intelligence. And yes, Clark W. Griswold’s cereal varnish is a real thing!
  • U.S. utility solar capacity is slowly ramping up.
  • A new study suggests a sudden, catastrophic climate tipping point may not be too likely.
  • Robots can independently develop new drugs.
  • According to Google, self-driving taxis are only 2-5 years away.
  • Complex ecosystems can be designed.
  • Compost toilets may save the world…if we can get over the ick factor and the sawdust problem.
  • There are lots of cheap new options for the aspiring high-tech handymen (and women and children) among us. Even better news, we may have reached the point where if you build a robot with your kid in the basement, and he then tells other kids about it, he might not get beat up on the playground.
  • New York City has some good examples of green stormwater infrastructure integrated in sidewalk and street design.

One thing that strikes me is that we keep hearing about biotechnology, but we haven’t seen big, obvious impacts in most of our daily lives yet. I suspect biotechnology is like computers and robots in the 70s, 80s, and 90s – slow but steady progress was being made in the background, the pressure was building, and then the wave suddenly broke onto the commercial and public consciousness. I suspect biotechnology is the next big wave that is going to break.

algorithms

Algorithms don’t sound like a topic for riveting reading, but these two articles are pretty good.

The first is from a marketing magazine, Adbusters. The claim it makes – that markets have never really worked before, but are starting to work now because of computer algorithms – is  bit of a stretch, but entertaining. Here’s a quote:

The critical flaw in Hayek’s vision of the hand was that a “central body” could never gather enough information. We know this to be untrue, and with big data and the analysis and manipulation of that data through algorithmic equation, the missing link between money and the machine was discovered.

The searches we make, the news we read, the dates we go on, the advertisements we see, the products we buy and the music we listen to. The stock market … All informed by this marriage between mathematics and capital, all working together in perfect harmony to achieve a singular goal — equilibrium. But it’s a curious sort of equilibrium. Less to do with the relationship between supply and demand, and more about the man and the market.

All these algorithms we encounter throughout the day, they’re working toward a greater goal: solving problems and learning how to think. Like the advent and rise of high–frequency trading, they’re part of an optimization trend that leads to a strange brand of perfection: automated profit.

The second, from ESPN, is about how numbers are being crunched by big-time professional sports gamblers:

Eventually, he grew to understand one of Walters’ keys to success: Some of his bets were intentional losers, designed to manipulate the bookmakers’ odds. Walters might bet $50,000 on a team giving 3 points, then $75,000 more on the same team when the line reaches 3.5. The moment the line gets to 4, a runner is instructed to immediately place a larger bet — perhaps $250,000 — on the other team. The $125,000 on the initial lines will be lost, but if things go according to plan, the $250,000 on the other side will win enough to make up for it many times over. Walters uses the same method on multiple games, often risking millions each weekend.

Since the days of the Computer Group, analytically inclined professional gamblers have relied on technology as well as research to produce what is called a delta: the difference between the Vegas line and what the bettors conclude the point spread should be. The greater the delta, the more money a gambler like Walters will bet. There’s nothing illegal about manipulating lines, and many prominent gamblers have the ability to move a line with as little as $1,000. Walters’ strategy is simply more sophisticated and uses more people, better information and, of course, more dollars bet in far more places than anyone else’s, insiders say…

The vast Walters network also includes a guy on the East Coast known as The Reader, who scans local newspapers, websites, blogs and Twitter for revealing tidbits or injury updates. That information is weighed and plugged into the computer alongside other statistical data — from field conditions to intricate breakdowns of officiating crews. Armed with algorithms and probability theories, the objective is to find the mispriced team, then hammer the line to where Walters wants it.