Robot Comedian Is an Inconsistent Communist

(p. C4) LONDON — One recent evening at a London pub, Piotr Mirowski, 39, stood in front of several dozen comedy fans to prove that an artificially intelligent computer program could perform improvised comedy.
. . .
Despite all the improvements, Mr. Mirowski said working with an A.I. was still like having a “completely drunk comedian” on stage, who was only “accidentally funny,” by saying things that were totally inappropriate, overly emotional or plain odd.
“Robots are in a way the antithesis of theater and comedy,” he said. “Theatre is about the human expression on stage, and it’s about the communication and empathy between the actors and the audience. Robots do not have the sensors to perceive any of that.”
. . .
During the show on Wednesday, Mr. Mirowski performed several different scenes using the A.I. None were anywhere near as successful as the one involving the couple going for a drive. The climax of the show involved four members of Mr. Mirowski’s improv troupe, Improbotics Ltd., performing a scene involving a fictional president, his chief of staff and an office cleaner.
The audience had to guess which actor was controlled by the A.I. The answer became clear soon after the cleaner took to the stage. “I’m a communist!” she said, completely out of the blue. Later, she performed a U-turn. “I’m not a communist!” she said. Then, out of nowhere she asked another member of the troupe, “Look, do you wanna buy a knife?”

For the full story, see:
Alex Marshall. “Hey, That Robot Seems to Think It’s a Comedian.” The New York Times (Saturday, Aug. 11, 2018): C4.
(Note: ellipses added.)
(Note: the online version of the story has the date Aug. 8, 2018, and has the title “A Robot Walks Into a Bar. But Can It Do Comedy?”)

Union Slows UPS Automation

(p. B1) As UPS tries to satisfy America’s 21st-century shopping-and-shipping mania, parts of its network are stuck in the 20th century. The company still relies on some outdated equipment and manual processes of the type rival FedEx Corp. discarded or that newer entrants, including Amazon.com Inc., never had.
UPS says about half its packages are processed through automated facilities today. At FedEx, 96% of ground packages move through automated sites. UPS workers are unionized; FedEx’s ground-operations workers aren’t.
. . .
(p. B2) UPS is negotiating with the International Brotherhood of Teamsters to renew a five-year contract, which expires July 31. Representing 260,000 UPS drivers, sorters and other workers, the union wants UPS to hire more full-time workers to help handle the surge in packages. It has opposed technology such as autonomous vehicles and drones and is wary of projects that do work with fewer employees.
“The problem with technology is that it does ultimately streamline jobs,” says Sean O’Brien, a Teamsters leader in Boston. “It does eliminate jobs. And once they’re replaced, it’s pretty tough to get them back.”
FedEx, with no unionized workforce in its ground network, doesn’t have to worry as much about labor strife. And because it built its ground network more recently, it hasn’t had to retrofit older facilities with automation. “For an older hub, automating is like heart surgery,” says Ted Dengel, FedEx Ground’s managing director of operations technology. “We can drop automation in before a package hits a facility.”

For the full story, see:
Paul Ziobro. “UPS is Running Late.” The Wall Street Journal (Saturday, June 16, 2018): B1-B2.
(Note: ellipsis added.)
(Note: the online version of the story has the date June 15, 2018, and has the title “UPS’s $20 Billion Problem: Operations Stuck in the 20th Century.”)

Zuckerberg Calls Musk “Pretty Irresponsible” on A.I. “Doomsday” Fears

(p. 1) SAN FRANCISCO — Mark Zuckerberg thought his fellow Silicon Valley billionaire Elon Musk was behaving like an alarmist.
Mr. Musk, the entrepreneur behind SpaceX and the electric-car maker Tesla, had taken it upon himself to warn the world that artificial intelligence was “potentially more dangerous than nukes” in television interviews and on social media.
So, on Nov. 19, 2014, Mr. Zuckerberg, Facebook’s chief executive, invited Mr. Musk to dinner at his home in Palo Alto, Calif. Two top researchers from Facebook’s new artificial intelligence lab and two other Facebook executives joined them.
As they ate, the Facebook contingent tried to convince Mr. Musk that he was wrong. But he wasn’t budging. “I genuinely believe this is dangerous,” Mr. Musk told the table, according to one of the dinner’s attendees, Yann LeCun, the researcher who led Facebook’s A.I. lab.
Mr. Musk’s fears of A.I., distilled to their essence, were simple: If we create machines that are smarter than humans, they could turn against us. (See: “The Terminator,” “The Matrix,” and “2001: A Space Odyssey.”) Let’s for once, he was saying to the rest of the tech industry, consider the unintended consequences of what we are creating before we unleash it on the world.
. . .
(p. 6) Since their dinner three years ago, the debate between Mr. Zuckerberg and Mr. Musk has turned sour. Last summer, in a live Facebook video streamed from his backyard as he and his wife barbecued, Mr. Zuckerberg called Mr. Musk’s views on A.I. “pretty irresponsible.”
Panicking about A.I. now, so early in its development, could threaten the many benefits that come from things like self-driving cars and A.I. health care, he said.
“With A.I. especially, I’m really optimistic,” Mr. Zuckerberg said. “People who are naysayers and kind of try to drum up these doomsday scenarios — I just, I don’t understand it.”

For the full story, see:
Cade Metz. “Moguls and Killer Robots.” The New York Times, SundayBusiness Section (Sunday, June 10, 2018): 1 & 6.
(Note: ellipsis added.)
(Note: the online version of the story has the date June 9, 2018, and has the title “Mark Zuckerberg, Elon Musk and the Feud Over Killer Robots.”)

Widely-Used HireVue Algorithm Can Lock-In Hiring Biases

(p. A23) The products of a company called HireVue, which are used by over 600 companies including Nike, Unilever and even Atlanta Public Schools, allow employers to interview job applicants on camera, using A.I. to rate videos of each candidate according to verbal and nonverbal cues. The company’s aim is to reduce bias in hiring.
But there’s a catch: The system’s ratings, according to a Business Insider reporter who tested the software and discussed the results with HireVue’s chief technology officer, reflect the previous preferences of hiring managers. So if more white males with generally homogeneous mannerisms have been hired in the past, it’s possible that algorithms will be trained to favorably rate predominantly fair-skinned, male candidates while penalizing women and people of color who do not exhibit the same verbal and nonverbal cues.

For the full story, see:

Joy Buolamwini. “The Hidden Dangers Of Facial Analysis.” The New York Times (Friday, June 22, 2018): A23.

(Note: the online version of the story has the date June 21, 2018, and has the title “When the Robot Doesn’t See Dark Skin.”)

Obits for Gig Economy Are Premature

(p. A21) Data confirm the “gig economy” is taking off–or do they? A 2017 Upwork study found that 36% of the labor force engaged in some form of contract or freelance work in 2017. In 2015 the Mercatus Center counted 1099-MISC and W-2 tax forms, which report contractor and employee income, respectively. The number of W-2s declined 3.5% between 2000 and 2014, while the 1099-MISC count grew 22% (albeit from a much smaller base).
But then the Bureau of Labor Statistics weighed in. Its Contingent and Alternative Employment Arrangements survey, released last week, caused a flurry of clickbait headlines like “Everything we thought we knew about the gig economy is wrong” and “Gig economy jobs aren’t really taking over America’s workforce.”
. . .
A notable study by economists Lawrence Katz and Alan Krueger used the same questions as the BLS survey, but worked with a different sample population (the RAND American Life Panel) and used an internet survey. It found that alternative employment arrangements as a worker’s primary form of employment grew more than 50% between 2005 to 2015, when they collected their data.
It would at least be hasty to conclude that alternative employment arrangements declined between 2005 to 2017. And more important, the BLS data are not an accurate description or measure of gig-economy work, since they exclude most workers engaged in this type of work through supplementary income.

For the full commentary, see:
Liya Palagashvili. “Don’t Be So Sure the Gig Is Up; Contract work has fallen as a share of employment, a BLS study finds. But there are reasons to doubt it..” The Wall Street Journal (Wednesday, June 13, 2018): A21.
(Note: ellipsis added.)
(Note: the online version of the commentary has the date June 12, 2018.)

They study by Katz and Krueger, mentioned above, is:
Katz, Lawrence F., and Alan B. Krueger. “The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015.” National Bureau of Economic Research, Inc, NBER Working Papers: 22667, 2016.
Also relevant is their:
Katz, Lawrence F., and Alan B. Krueger. “The Role of Unemployment in the Rise in Alternative Work Arrangements.” American Economic Review 107, no. 5 (May 2017): 388-92.

In a Robustly Redundant Labor Market Most “Will Find New Jobs Quickly”

(p. A1) Tesla Inc. on Tuesday [June 12, 2018] said it will cut about 9% of its workforce in an effort to deliver its first profit during a make-or-break period of building a mass-market electric car.
The layoffs of about 3,500 employees come as Chief Executive Elon Musk reorganizes Tesla’s management structure to make it flatter, and as the company tries to ramp up production of the all-electric Model 3 compact sedan.
In a memo to employees, Mr. Musk said the job cuts are mostly aimed at salaried staff and won’t affect production workers assembling the company’s vehicles. “This will not affect our ability to reach Model 3 production targets in the coming months,” he wrote.
. . .
(p. A8) “What drives us is our mission to accelerate the world’s transition to sustainable, clean energy, but we will never achieve that mission unless we eventually demonstrate that we can be sustainably profitable,” Mr. Musk wrote in the email to employees Tuesday. “That is a valid and fair criticism of Tesla’s history to date.”
. . .
On Twitter, Mr. Musk acknowledged that he was losing good people. “I think they will find new jobs quickly,” he said.

For the full story, see:
Higgins, Tim. “Tesla to Cut Workforce by 9%, In Bid for Sustainable Profit.” The Wall Street Journal (Wednesday, June 13, 2018): A1 & A8.
(Note: ellipses, and bracketed date, added.)
(Note: the online version of the story has the date June 12, 2018, and has the title “Tesla Cutting About 9% of Global Workforce.”)

A.I. Assists, but Does Not Replace, Humans

(p. B4) Some Phoenix-area residents have been hailing rides in minivans with no drivers and no human safety operators inside. But that doesn’t mean they’re on their own if trouble arises.
From a command center, employees at Alphabet Inc.’s Waymo driverless-car unit monitor the test vehicles on computer screens, able to wirelessly peer in through the minivan’s cameras. If the robot brain maneuvering the vehicle gets confused by a situation–say, a car unexpectedly stalled in front of it or closed lanes of traffic–it will stop the vehicle and ask the command center to verify what it is seeing. If the human confirms the situation, the robot will calculate how it should navigate around the hazard.

For the full story, see:
Tim Higgins. “Driverless Autos Get Help From Humans Watching Remotely.” The Wall Street Journal (Monday, June 7, 2018): B4.
(Note: the online version of the story has the date June 5, 2018, and has the title “Driverless Cars Still Handled by Humans–From Afar.”)

Human Intelligence Helps A.I. Work Better

(p. B3) A recent study at the M.I.T. Media Lab showed how biases in the real world could seep into artificial intelligence. Commercial software is nearly flawless at telling the gender of white men, researchers found, but not so for darker-skinned women.
And Google had to apologize in 2015 after its image-recognition photo app mistakenly labeled photos of black people as “gorillas.”
Professor Nourbakhsh said that A.I.-enhanced security systems could struggle to determine whether a nonwhite person was arriving as a guest, a worker or an intruder.
One way to parse the system’s bias is to make sure humans are still verifying the images before responding.
“When you take the human out of the loop, you lose the empathetic component,” Professor Nourbakhsh said. “If you keep humans in the loop and use these systems, you get the best of all worlds.”

For the full story, see:
Paul Sullivan. “WEALTH MATTERS; Can Artificial Intelligence Keep Your Home Secure?” The New York Times (Saturday, June 30, 2018): B3.
(Note: the online version of the story has the date June 29, 2018.)

The “recent study” mentioned above, is:
Buolamwini, Joy, and Timnit Gebru. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” Proceedings of Machine Learning Research 81 (2018): 1-15.

Earned Income Matters More Than Equal Income

(p. A13) The concept of a universal basic income, or UBI, has become part of the moral armor of Silicon Valley moguls who want a socially conscious defense against the charge that technology is making humanity obsolete.
. . .
We need policies that encourage job creation and working, not policies that pay people not to work.
In the mid-1960s, about 5% of men aged 25 to 54 were jobless. For 40 years that share has risen, and for much of the past decade the rate has remained over 15%. Suicide, divorce and opioid abuse are all associated with nonemployment, and many facts suggest that the misery of joblessness is far worse than that of a low-paying job. According to the most recent data, only 7% of working men in households earning less than $35,000 report being dissatisfied with their lives. But that share soars to 18% among the nonemployed of all incomes. This suggests that promoting employment is more important than reducing inequality.
. . . 50 years of evidence about labor supply in the U.S. suggests that giving people money will lead them to work less.
The Negative Income Tax experiments of the 1970s–when poorer households in a number of states received direct cash payments to keep them at a minimum income–are the closest America has come to a UBI. But they did not show “minimal impact on work,” as Mr. Yang suggests. Rather, they produced a quite significant work-hours reduction of between 5% and 25%, as well as “employment rate reductions . . . from about 1 to 10 percentage points,” according to one capable study.

For the full review, see:

Edward Glaeser. “‘BOOKSHELF; ‘Give People Money’ and ‘The War on Normal People’ Review: The Cure for Poverty? A guaranteed income does nothing to address the misery of joblessness, nor the associated plagues of divorce, opioid abuse and suicide.” The Wall Street Journal (Tuesday, July 10, 2018): A13.

(Note: first two ellipses added; third ellipsis in original.)
(Note: the online version of the review has the date July 9, 2018, and has the title “BOOKSHELF; ‘Give People Money’ and ‘The War on Normal People’ Review: The Cure for Poverty? A guaranteed income does nothing to address the misery of joblessness, nor the associated plagues of divorce, opioid abuse and suicide.”)

Entrepreneur Mackay Deserved to Be Dealt Four Aces

(p. C9) One evening sometime in the 1850s, John Mackay, a prospector, was playing poker with his fellow silver miners in Virginia City, Nev. The wagering was furious, and Mackay was playing well. In one hand, he was dealt an improbable three aces. The man next to him was “betting like a cyclone,” when Mackay drew the astonishing fourth ace, whereupon he laid down his cards and walked away without picking up the pot. “Leave me out, boys,” he said. He didn’t need it. At this point in his life, he had more money than he could ever spend.
. . .
With not a cent to his name, Mackay began swinging a pick ax for subsistence wages on other peoples’ claims, eventually working his way up to mine supervisor. “Mackay tried to cast his imagination into the rock,” Mr. Crouch says, “looking for clues that would lead him to a greater understanding of what wealth lay underground.” By 1865 he had acquired enough cash to buy a stake in a promising mine called the Kentuck. At first the investment looked to be another bust, but it suddenly hit big, paying out $1.6 million of the “precious needful,” as miners called valuable ore, over the next two years.
. . .
The author saves for last an account of the delicious comeuppance Mackay delivered to the American businessman Jay Gould –“the most hated man of the age.” Gould had secured a monopoly on trans-Atlantic telegraphy. Without competition, he gouged users, prompting Mackay, a believer in private enterprise, to lay his own undersea cable, thus breaking Gould’s stranglehold and winning public admiration on both sides of the Atlantic.
Mr. Crouch clearly admires his protagonist, at times nearly to distraction. He portrays Mackay throughout this well-written and worthwhile book as a man of high principle–kind, charitable and fair, dependably doing the noble thing. Strong and silent, he is the Gary Cooper of the sagebrush set. It ever so lightly strains credulity, however, to believe that Mackay didn’t harbor a little larceny in his heart, like nearly everybody on the Comstock during the mad rush. But readers may well want to take the author’s word that a man of such humility and generosity was exactly that. Nowhere will you read John Mackay’s name among the robber barons of his era. Some men who are dealt four aces in life deserve them.

For the full review, see:
Patrick Cooke. “‘The Man Who Hit the Mother Lode.” The Wall Street Journal (Saturday, July 7, 2018): C9.
(Note: ellipsis added.)
(Note: the online version of the review has the date July 5, 2018, and has the title “‘The Bonanza King’ Review: The Man Who Hit the Mother Lode.”)

The book under review, is:
Crouch, Gregory. The Bonanza King: John Mackay and the Battle over the Greatest Riches in the American West. New York: Scribner, 2018.

“Meditation Is Demotivating”

(p. 6) . . . on the face of it, mindfulness might seem counterproductive in a workplace setting. A central technique of mindfulness meditation, after all, is to accept things as they are. Yet companies want their employees to be motivated. And the very notion of motivation — striving to obtain a more desirable future — implies some degree of discontentment with the present, which seems at odds with a psychological exercise that instills equanimity and a sense of calm.
To test this hunch, we recently conducted five studies, involving hundreds of people, to see whether there was a tension between mindfulness and motivation. As we report in a forthcoming article in the journal Organizational Behavior and Human Decision Processes, we found strong evidence that meditation is demotivating.

For the full commentary, see:
Kathleen D. Vohs and Andrew C. Hafenbrack. “GRAY MATTER; Don’t Meditate at Work.” The New York Times, SundayReview Section (Sunday, June 17, 2018): 6.
(Note: ellipsis added.)
(Note: the online version of the commentary has the date June 14, 2018, and has the title “GRAY MATTER; Hey Boss, You Don’t Want Your Employees to Meditate.”)

The article by Hafenbrack and Vohs, mentioned above, is:
Hafenbrack, Andrew C., and Kathleen D. Vohs. “Mindfulness Meditation Impairs Task Motivation but Not Performance.” Organizational Behavior and Human Decision Processes 147 (July 2018): 1-15.