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Rise of the Robots - Review

Thu, 2015-10-01 10:08
Rise of the Robots: Technology and the Threat of a Jobless Future
Martin Ford

Part 1 of 3

"I'm smart; you're dumb. I'm big; you're small. I'm right; you're wrong. And there's nothing you can do about it."

Thus spake Harry Wormwood in the movie "Matilda". This well could be the message that robots will have for us in the not too distant future. The dramatic improvements in the speed, the accuracy, and the areas in which computers have begun to comprehensively outperform humans leads one to believe that while a so-called singularity may well be some ways off, the more immediate effects of this automation are already being felt in permanent job losses. In a country like India, which has used digital technologies quite effectively in the last decade and a half to grow a $150 billion IT-BPM industry, the impact could be devastating - especially where an estimated 10 million people are employed.
In many spheres - chess for example - they could utter these lines to us humans today and there's nothing we can do about it - for the computer is right. The puniest of computers in the tiniest of smartphones possesses enough computing horsepower and smart-enough algorithms (written by us humans - oh yes, the irony!) to defeat the best of us humans in chess, every single time, without breaking a sweat. Computers have been able to add, subtract, divide, square, multiply faster and more accurately than us for decades now, and there's nothing we can do about that either.

From the time of the Luddites - who rose up against the machines of the Industrial Revolution in the early years of the nineteenth century - to the present-day "Judgment Day" Sarah Connor avatars, inspired as much by an acute awareness of the march of technology as by James Cameroon's "Terminator" movies, the refrain of the chorus has been more or less unchanging: the machines are coming for our jobs, our livelihoods, and will finally come for us (the Matrix was premised on a variant of one such dystopian future). Computing power of computers exploded in the second half of the twentieth century, obeying the inexorable pull of Moore's Law, and made feasible by advances in semiconductors, fabrication techniques, and electrical engineering. As did fears that similar software advances could somehow endow machines with intelligence - Artificial Intelligence. These fears however did not quite come to pass. For several decades, there were several false hopes and starts that were kindled and then extinguished. Till this decade. The congruence of seemingly infinite computing power - thanks to massive server farms running in the "cloud" (a mangled metaphor if ever there was one), cheap and lightning fast bandwidth available on tap, storage and memory that keeps getting impossibly cheaper every year, and sophisticated software algorithms - has however made it clear that "machine intelligence" is no longer an oxymoron. We are well and truly living in the middle of the machine age. The "singularity" may well be witnessed in our lifetimes, within a decade or two even.

Martin Ford's book, "The Rise of the Robots: Technology and the Threat of a Jobless Future" lays out the case for a not-so-distant future where machines make possible the automation of almost every task imaginable, but at a great social and economic cost. The book is neatly organized, lucidly argued, and except for a lengthy and somewhat incongruous chapter on the medical system, the book stays on point. Ford makes it clear that neither is this technological progress reversible, nor wholly desirable. Its consequences therefore cannot be wished away - income inequality as an example, which economists for three decades have been explaining away as a temporary anomaly. The last section, which is more contemplative and prescriptive, as opposed to the earlier sections which are descriptive, discusses possible solutions, some of which will shock free market proponents. Whether there are more practical, workable answers is quite another thing though.

Part 2 of 3

Machines have been able to do mechanical jobs faster than humans, with greater precision, and for longer periods of time - the cotton gin invented in the eighteenth century for example. The inevitable loss of jobs called for a re-skilling of the people affected, and the mantra went that you had to pull yourself up by your socks, learn a new skill, and get productive again. Martin Ford's book shatters that illusion. There is not a single profession left - whether unskilled or skilled, whether in technology or medicine or liberal arts, whether one that can be performed remotely or requires direct human interaction - that is not at threat from the machines. Whichever way you slice and dice it, you are left facing one or the other variation of a dystopian future, with stark income inequalities, a substantial population that will require doles on a permanent doles, and the concomitant social upheavals.

Some years back, when offshoring was in the news and concerns about its impact on US jobs was at its peak, with hundreds of thousands of jobs moved offshore to countries like India, there were stories coming out regularly, like the one about Southern California workers being made to train H1-B visa holders, many of whom took over their jobs. Pfizer made "hundreds of tech workers at its Connecticut R&D facilities" train their replacements - guest workers from India. If the economics of labor cost arbitrage precipitated the migration of skilled technology jobs away from the United States and to countries like India (being "Bangalored" entered the urban lexicon only a decade ago), technology could plausibly bring those jobs back to the United States - call it "reshoring". The quantum of jobs reshored, however, is going to be a massive disappointment. Consider this: "In 2011, the Washington Post’s Michael Rosenwald reported that a colossal, billion-dollar data center built by Apple, Inc., in the town of Maiden, North Carolina, had created only fifty full-time positions." But it is precisely this elimination of the need for many people that makes the economics of reshoring work out. Ironical.

While the United States can at least look forward to the reshoring of some jobs lost to manufacturing in China or services in India, the loss of such jobs is certain, on the other hand, to cause greater upheaval in these offshore countries. India's socio-economic progress is predicated in great deal on a re-skilling of its labour force to take advantage of an emerging "Digital India" both in the manufacturing and services sector, but which is in mortal danger of being blindsided by the rise of the machines. The use of IT-based services as a catalyst for driving economic growth in smaller - Tier B and Tier C - cities in India is a recurrent theme for planners. But this could be short-circuited by the rise of the robots, who, once trained - by humans - can perform the jobs of humans, better, and faster. Indians were trained by their American counterparts to do their jobs. Unbeknownst to many, these people are actors in the same offshoring saga that played out a decade ago, but with the proverbial shoe on the other foot now. "The bottom line is that if you find yourself working with, or under the direction of, a smart software system, it’s probably a pretty good bet that—whether you’re aware of it or not—you are also training the software to ultimately replace you."

India has been a spectacular laggard when it has come to industrializing its economy - it is probably unique among all developing nations to be progressing (or at least with ambitions of progressing) from a primarily agrarian economy to a services-based economy, skipping substantially the intermediate phase of industrialization that every single industrialized nation went through last century. It was industrialization that provided the bedrock for the middle-class in nations, which then aspired towards a better quality of life, with the ability to pay for it - thus driving the move towards a services-based economy. For India, it could be argued by some that this skipping may prove to be a blessing, since an industrialized economy is more susceptible to efficiencies wrought by advancements in technology. Consider these examples from Ford's book:

1. "in the United States, chickens are grown to standardized sizes so as to make them compatible with automated slaughtering and processing."

2. Momentum Machines, a San Francisco based startup has developed a machine that "shapes burgers from freshly ground meat and then grills them to order - including even the ability to add just the right amount of char while retaining all the juices. The machine, which is capable of producing about 360 hamburgers per hour, also toasts the bun and then slices and adds fresh ingredients like tomatoes, onions, and pickles only after the order is placed." The company's co-founder is clear that these machines are not "meant to make employees more efficient... It's meant to completely obviate them."

3. "Vision Robotics, a company based in San Diego, California, is developing an octopus-like orange harvesting machine. The robot will use three-dimensional machine vision to make a computer model of an entire orange tree and then store the location of each fruit. That information will then be passed on to the machine’s eight robotic arms, which will rapidly harvest the oranges."

4. "Researchers at Facebook have likewise developed an experimental system—consisting of nine levels of artificial neurons—that can correctly determine whether two photographs are of the same person 97.25 percent of the time, even if lighting conditions and orientation of the faces vary. That compares with 97.53 percent accuracy for human observers."

5. "A Facebook executive noted in November 2013 that the Cyborg system routinely solves thousands of problems that would otherwise have to be addressed manually, and that the technology allows a single technician to manage as many as 20,000 computers."

6. If reading certain news articles makes you wonder whether a robot wrote it, things are going to get better - or worse. Computer algorithms are at work to churn out articles that will be indistinguishable from those written by humans. Liberal arts became even more unviable - if ever that was possible.
"In 2010, the Northwestern University researchers who oversaw the team of computer science and journalism students who worked on StatsMonkey raised venture capital and founded a new company, Narrative Science, Inc., to commercialize the technology. The company hired a team of top computer scientists and engineers; then it tossed out the original StatsMonkey computer code and built a far more powerful and comprehensive artificial intelligence engine that it named “Quill.”
... One of Narrative Science’s earliest backers was In-Q-Tel, the venture capital arm of the Central Intelligence Agency"

"To keep instructional costs down, colleges are relying ever more heavily on part-time, or adjunct, faculty who are paid on a per-course basis—in some cases as little as $2,500 for a semester-long class—and receive no employee benefits. Especially in the liberal arts, these adjunct positions have become dead-end jobs for huge numbers of PhD graduates who once hoped for tenure-track academic careers."
7. "Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role."

8. "In July 2012, the London Symphony Orchestra performed a composition entitled Transits—Into an Abyss. One reviewer called it “artistic and delightful.” The event marked the first time that an elite orchestra had played music composed entirely by a machine. The composition was created by Iamus, a cluster of computers running a musically inclined artificial intelligence algorithm."

9. "Perhaps the most remarkable elder-care innovation developed in Japan so far is the Hybrid Assistive Limb (HAL)—a powered exoskeleton suit straight out of science fiction. Developed by Professor Yoshiyuki Sankai of the University of Tsukuba, the HAL suit is the result of twenty years of research and development. Sensors in the suit are able to detect and interpret signals from the brain. When the person wearing the battery-powered suit thinks about standing up or walking, powerful motors instantly spring into action, providing mechanical assistance. A version is also available for the upper body and could assist caretakers in lifting the elderly. Wheelchair-bound seniors have been able to stand up and walk with the help of HAL."

As one goes over these examples, it becomes obvious that automation is a sword that cuts both ways. Is India equipped - and more importantly, are the planners aware - to handle the flood of automation that could wash away entire swathes of jobs being dreamed up by ambitions of a digitally-enabled nation?

Part 3 of 3

As 2014 drew to a close, the Indian IT industry was rocked by rumours that TCS (the largest Indian IT company by annual revenues) had completed an internal review and had initiated lay offs of thousands of employees - mostly in middle management. Some stories talked about a number as high as 30,000. The saga finally ended with a round of clarifications and denials by TCS and some well-deserved opprobrium over its inept handling of the needless controversy. What the fracas however served to highlight was a stark truth that's been staring at the Indian IT industry for some time now - the skills that the typical Indian IT worker possesses are mostly undifferentiated and prime candidates for automation.
What is worse, from at least one perspective, is the fact that (smart) humans have built technology that has becoming adept at "engineering the labor out of the product." One will need to be particularly myopic to not also recognize that "the machines are coming for the higher-skill jobs as well." This much should have been clear in part two of this series, through the examples I cited from Martin Ford's book.
One recurring theme in Martin Ford's book, "Rise of the Robots", at least in the initial chapters, is the permanence and acceleration of offshoring to countries like India, which he believes, "has built a major, nationally strategic industry specifically geared toward the electronic capture of American and European jobs." (As an aside, most Indians would be somewhat puzzled by this assertion, given at times the outright hostility which politicians in India display towards the IT industry, like the time when a former prime minister indirectly accused the Bangalore IT industry of "immoral, unethical and illegal prosperity"!) Anyway, leaving that aside aside, in advancing his argument Ford posits that as "powerful AI-based tools make it easier for offshore workers to compete with their higher-paid counterparts in developed countries, advancing technology is also likely to upend many of our most basic assumptions about which types of jobs are potentially offshorable. Nearly everyone believes, for example, that occupations that require physical manipulation of the environment will always be safe."

Ford believes that the development of a digital infrastructure in India and the advancement of AI and related technologies will make things worse for US (and Europe) jobs. True to some extent though that may be, you have to consider the fact that increasing automation makes it cheaper and less labor-intensive to maintain, run, and patch-and-upgrade software applications. Furthermore, any offshoring of jobs adds its own overheads by way of administrative and managerial redundancies that cannot be done away with. Automation efficiencies reduce the need for labour, which is the often the single biggest component in any software application over its entire life. Therefore, the very factors that Ford fears are threatening to make offshoring permanent and more widespread are also likely to make reshoring financially viable. It's a sword that cuts both ways.

To be fair, the digital economy in India has a lot of headroom to grow; especially as the Indian government's Smart City initiative brings e-governance and services to the common man through the Internet and technologies. This could well provide a second wind to the Indian IT industry for a decade or more.

However, it is a smart strategy to keep one eye on the what the winds of such a digital nirvana may blow in. An indicator of the direction in which the Indian IT job market is likely to evolve therefore can be found by looking at the US, where the "propensity for the economy to wipe out solid middle-skill, middle-class jobs, and then to replace them with a combination of low-wage service jobs and high-skill, professional jobs that are generally unattainable for most of the workforce, has been dubbed "job market polarization.""
This phrase - "job market polarization" should give us a fair indication of what is in store for the hundreds of thousands, even millions, of graduates in India, many of whom emerge today out of college with a stark degree of antipathy for doing the "9-5" grind that they saw their parents and its generation go through. Digital "start-up" nirvana beckons for them. Each sees himself as a digital entrepreneur of the new economy. They are ready to chuck the "dependable income stream that anchors them into the middle-class" - they view it not as an "anchor" but more a millstone. However, the vast majority is likely to find itself stuck in what "techno visionary" Jared Lanier calls the "informal economy that is found in third-world nations." It's a tiny minority that will "live at the extreme left of the long tail" of such a digital economy. For every Flipkart or SnapDeal (the final word on that fairy-tale saga is yet to be written), you will find tens of thousands of resellers at the other end of the payoff tail, paying these e-tailers money every month for the privilege of selling on their platforms, at prices that barely cover operating costs.

The Indian middle-class, for all its flaws, has represented for decades an aspirational lodestar for the vast majority of the country's poor. So what happens when the digital economy hollows out the middle of the job market - "job polarization" as described above? Again, we can look westwards for possible answers.
"In an analysis published in February 2014, MIT economist James Poterba found that a remarkable 50 percent of American households aged sixty-five to sixty-nine have retirement account balances of $5,000 or less. According to Poterba’s paper, even a household with $100,000 in retirement savings would receive a guaranteed income of only about $5,400 per year (or $450 per month) with no cost-of-living increases, if the entire balance were used to purchase a fixed annuity."In other words, in the absence of both a retirement corpus and a government guaranteed pension, there is a real risk of an emergent middle-class sliding right back into the working poor or even the underclass - a recipe for social unrest.
An inevitable counter-argument to all this unease generated by the "rise of the robots" is the "humans are underrated" palliative. Championing this is Tom Davenport (of "Competing on Analytics" fame) who now talks of "amplified intelligence" (which unfortunately has more the stench of a seo-optimized buzzword than anything substantial at this point) - where "smart" humans work to "augment" "smart" machines. Then there is also Geoff Colvin, who penned the insightful 2008 book, "Talent Is Overrated", and who has returned with "Humans Are Overrated". I have yet to read Colvin's latest book, so judgment day is reserved on the book, but to Davenport's argument, some of the evidence suggests an easy refutation - "In his 2007 book Super Crunchers, Yale University professor Ian Ayres cites study after study showing that algorithmic approaches routinely outperform human experts. When people, rather than computers, are given overall control of the process, the results almost invariably suffer." In many fields where algorithms rule the roost, to argue for human "augmentation" or "amplification" is no better than to argue for more cooks to brew the broth - we know that aphorism, don't we?
In conclusion, and in many ways, the saga documented in "Rise of the Robots" calls to mind the ancient Indian tale of the four friends:
In ancient India there lived four friends. Three of them were very learned, while the fourth was a simpleton, even considered a fool. The four decided to go to the capital and seek their fortune from the king. Along the way, while passing through a jungle, they came across the bones of a lion long dead. The first friend used his knowledge to assemble the bones into a skeleton. The second friend used his skills to fashion a skin over the skeleton, while the third prepared to bring the lion back to life. At this the fourth friend - the simpleton - warned his other three friends of the perils of doing so, and was roundly rebuked by the three, wiser friends. The simpleton again warned them and upon being ignored, climbed a tree for safety. The third friend used his knowledge to breathe life into the lion. I don't need to tell you how this tale ended for the three wise men.

And I will end here.

Buying Info:Hardcover: 352 pagesPublisher: Basic Books (May 5, 2015)ISBN-10: 0465059996ISBN-13: 978-0465059997

US: Rise of the Robots: Technology and the Threat of a Jobless Future
India: Rise of the Robots: Technology and the Threat of a Jobless Future

The first part was first published in PerformanceGurus on 8th August, 2015.
The second part was first published in PerformanceGurus on 13th August, 2015.
The concluding part was first published in PerformanceGurus on 15th August, 2015.

 © 2015, Abhinav Agarwal (अभिनव अग्रवाल). All rights reserved.

Creepy Dolls - A Technology and Privacy Nightmare!

Sat, 2015-09-26 10:28
This post was first published on LinkedIn on 20th May, 2015.

"Hi, I'm Chucky. Wanna play?"[1]  Fans of the horror film genre will surely recall these lines - innocent-sounding on their own, yet bone-chilling in the context of the scene in the movie - that Chucky, the possessed demonic doll, utters in the cult classic, "Child's Play". Called a "cheerfully energetic horror film" by Roger Ebert [2], the movie was released to more than a thousand screens on its debut in November 1988 [3]. It went on to spawn at least five sequels and developed a cult following of sorts over the next two decades [4].

Chucky the doll
(image credit: "Child's Play", Chucky the killer doll stays quiet around the adults - at least initially - but carries on secret conversations with Andy, and is persuasive enough to convince him to skip school and travel to downtown Chicago. Chucky understands how children think, and can evidently manipulate - or convince, depending on how you frame it - Andy into doing little favours for him. A doll that could speak, hear, see, understand, and have a conversation with a human in the eighties was the stuff out of science fiction, or in the case of "Child's Play" - out of a horror movie.

Edison Talking Doll.
Image credit: www.davescooltoys.comA realistic doll that could talk and converse was for long the "holy grail" of dollmakers [5]. It will come as a huge surprise to many - at least it did to me - that within a few years of the invention of the phonograph by Thomas Edison in 1877, a doll with a pre-recorded voice had been developed and marketed in 1890! It didn't have a very happy debut however. After "several years of experimentation and development", the Edison Talking Doll, when it launched in 1890, "was a dismal failure that was only marketed for a few short weeks."[6] Talking dolls seem to have made their entry into mainstream retail only with the advent of "Chatty Cathy" - released by Mattel in the 1960s - and which worked on a simple pull-string mechanism. The quest to make these dolls more interactive and more "intelligent" continued; "Amazing Amanda" was another milestone in this development; it incorporated "voice-recognition and memory chips, sensory technology and facial animatronics" [7]. It was touted as an "an evolutionary leap from earlier talking dolls like Chatty Cathy of the 1960's" by some analysts [8]. In some ways that assessment was not off-the-mark. After all, "Amazing Amanda" utilized RFID technology - among the hottest technology buzzwords a decade back. "Radio-frequency tags in Amanda's accessories - including toy food, potty and clothing - wirelessly inform the doll of what it is interacting with." This is what enabled "Amazing Amanda" to differentiate between "food" (pizza, or "cookies, pancakes and spaghetti") and "juice"[9]. "However, even with all these developments and capabilities, the universe of what these toys could was severely limited. At most they could recognize the voice of the child as its "mommy".
Amazing Amanda doll.
Image credit:amazing-amanda.fuzzup.netThey were constrained by both the high price of storage (Flash storage is much sturdier than spinning hard drives, but an order of magnitude costlier; this limits the amount of storage possible) and limited computational capability (putting in a high-end microprocessor inside every doll would make them prohibitively expensive). The flip side was that what the toys spoke in home to the children stayed at home. These toys had a limited set of pre-programmed sentences and emotions they could convey, and if you wanted something different, you went out and bought a new toy, or in some cases, a different cartridge.

That's where things stood. Till now.

Screenshot of ToyFair websiteBetween February 14-17, 2015, the Jacob K. Javits Convention Center in New York saw "the Western Hemisphere’s largest and most important toy show"[10] - the 2015 Toy Fair. This was a trade-show, which meant that "Toy Fair is not open to the public. NO ONE under the age of 18, including infants, will be admitted."[11] It featured a "record-breaking 422,000+ net square feet of exhibit space"[12] and hundreds of thousands of toys. Yet no children were allowed. Be that as it may, there was no dearth of, let's say, "innovative" toys. Apart from an "ultra creepy mechanical doll, complete with dead eyes", a fake fish pet that taken to a "whole new level of weird", or a "Doo Doo Head" doll that had the shape of you-guessed-it [13], of particular interest was a "Hello Barbie" doll, launched by the Fortune 500 behemoth, Mattel. This doll had several USPs to its credit. It featured voice-recognition software, voice recording capabilities, the ability to upload recorded conversations to a server (presumably Mattel's or ToyTalk's) in the cloud, over "Wi-Fi" - as a representative at the exhibition took pains to emphasize, repeatedly - and give "chatty responses."[14] This voice data would be processed and analyzed by the company's servers. The doll would learn the child's interests, and be able to carry on a conversation on those topics - made possible by the fact that the entire computational and learning capabilities of a server farm in the cloud could be accessed by every such toy. That the Barbie franchise is a vital one to Mattel could not be understated. The Barbie brand netted Mattel $1.2 billion in FY 2013 [15], but this represented a six per cent year-on-year decline. Mattel attributed that this decline in Barbie sales in part to "product innovation not being strong enough to drive growth." The message was clear. Something very "innovative" was needed to jump-start sales. To make that technological leap forward, Mattel decided to team up with ToyTalk.

ToyTalk is a San Francisco-based start-up, and its platform powered the voice-recognition software used by "Hello Barbie". ToyTalk is headed by "CEO Oren Jacob, Pixar's former CTO, who worked at the groundbreaking animation company for 20 years" [16], and which claimed "$31M in funding from Greylock Partners, Charles River Ventures, Khosla Ventures, True Ventures and First Round Capital as well as a number of angel investors." [17]

Cover of Misery, by Stephen King.
Published by Viking Press.The voice recognition software would allow Mattel and ToyTalk to learn the preferences of the child, and over time refine the responses that Barbie would communicate back. As the Mattel representative put it, "She's going to get to know all my likes and all my dislikes..."[18] - a statement that at one level reminds one of Annie Wilkes when she says, "I'm your number one fan."[19] We certainly don't want to be in Paul Sheldon shoes.

Hello Barbie's learning would start happening from the time the doll was switched on and connected to a Wi-Fi network. ToyTalk CEO Oren Jacob said, "we'll see week one what kids want to talk about or not" [20]. These recordings, once uploaded to the company's servers, would be used by "ToyTalk's speech recognition platform, currently powering the company's own interactive iPad apps including The Winston Show, SpeakaLegend, and SpeakaZoo" and which then "allows writers to create branching dialogue based on what children will potentially actually say, and collects kids' replies in the cloud for the writers to study and use in an evolving environment of topics and responses."[20]. Some unknown set of people. sitting in some unknown location, would potentially get to hear and listen to entire conversations of a child before his parents would.

If Mattel or ToyTalk did not anticipate the reaction this doll would generate, one can only put it down to the blissful disconnect from the real-world that Silicon Valley entrepreneurs often develop, surrounded as they are by similar-thinking digerati. In any case, the responses were swift, and in most cases brutal. The German magazine "Stern" headlined an article on the doll - "Mattel entwickelt die Stasi-Barbie" [21] Even without the benefit of translation, the word "Stasi" stood out like a red flag. In any case, if you wondered, the headline translated to "Mattel developed the Stasi Barbie" [22]. Stern "curtly re-baptised" it "Barbie IM". "The initials stand for “Inoffizieller Mitarbeiter”, informants who worked for East Germany’s infamous secret police, the Stasi, during the Cold War." [23] [24]. A Newsweek article carried a story, "Privacy Advocates Call Talking Barbie 'Surveillance Barbie'"[25]. France 24 wrote - "Germans balk at new ‘Soviet snitch’ Barbie" [26]. The ever-acerbic The Register digged into ToyTalk's privacy policy on the company's web site, and found these gems out [27]:
Screenshot of ToyTalk's Privacy page- "When users interact with ToyTalk, we may capture photographs or audio or video recordings (the "Recordings") of such interactions, depending upon the particular application being used.
- We may use, transcribe and store such Recordings to provide and maintain the Service, to develop, test or improve speech recognition technology and artificial intelligence algorithms, and for other research and development or internal purposes."

Further reading revealed that what your child spoke to the doll in the confines of his home in, say, suburban Troy Michigan, could end up travelling half the way across the world, to be stored on a server in a foreign country - "We may store and process personal information in the United States and other countries." [28]

What information would ToyTalk share with "Third Parties" was equally disturbing, both for the amount of information that could potentially be shared as well as for the vagueness in defining who these third-parties could possibly be - "Personal information"; "in an aggregated or anonymized form that does not directly identify you or others;"; "in connection with, or during negotiations of, any merger, sale of company assets, financing or acquisition, or in any other situation where personal information may be disclosed or transferred as one of the business assets of ToyTalk"; "We may also share feature extracted data and transcripts that are created from such Recordings, but from which any personal information has been removed, with Service Providers or other third parties for their use in developing, testing and improving speech recognition technology and artificial intelligence algorithms and for research and development or other purposes."[28] A child's speech, words, conversation, voice - as recorded by the doll - was the "business asset" of the company.

And lest the reader have any concerns about safety and security of the data on the company's servers, the following disclaimer put paid to any reassurances on that front also: "no security measures are perfect or impenetrable and no method of data transmission that can be guaranteed against any interception or other type of misuse."[28] If the sound of hands being washed-off could be put down on paper, that sentence above is what it could conceivably look like.

Apart from the firestorm of criticism described above, the advocacy group "Campaign for a Commercial Free Childhood" started a campaign to petition Mattel "CEO Christopher Sinclair to stop "Hello Barbie" immediately." [29]

The brouhaha over "Hello Barbie" is however only symptomatic of several larger issues that have emerged and intersect each other in varying degrees, raising important questions about technology, including the cloud, big data, the Internet of Things, data mining, analytics; privacy in an increasingly digital world; advertising and the ethics of marketing to children; law and how it is able to or unable to cope with an increasingly digitized society; and the impact on children and teens - sociological as well as psychological. Technology and Moore's Law [30] have combined with the convenience of broadband to make possible what would have been in the realm of science fiction even two decades ago.

The Internet, while opening up untold avenues of betterment for society at large, has however also revealed itself as not without a dark side - a dilemma universally common to almost every transformative change in society. From the possibly alienating effects of excessive addiction to the Internet to physiological changes that the very nature of the hyperlinked web engenders in humans - these are issues that are only recently beginning to attract the attention of academics and researchers. The basic and most fundamental notions of what people commonly understood as "privacy" are not only being challenged in today's digital world, but in most cases without even a modicum of understanding on the part of the affected party - you. In the nebulous space that hopefully still exists between those who believe in technology as the only solution capable of delivering a digital nirvana to all and every imaginable problem in society on the one hand and the Luddites who see every bit of technology as a rabid byte (that's a bad pun) against humanity lies a saner middle ground that seeks to understand and adapt technology for the betterment of humanity, society, and the world at large.

So what happened to Chucky? Well, as we know, it spawned a successful and profitable franchise of sequels and other assorted franchise. Which direction "Hello Barbie" takes is of less interest to me as the broader questions I raised in the previous paragraph.

[2] "Child's Play" review,
[5] "A Brief History of Talking Dolls--From Bebe Phonographe to Amazing Amanda",
[6] "Edison Talking Doll",

Disclaimer: Views expressed are personal.

© 2015, Abhinav Agarwal. All rights reserved.