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What is artificial intelligence?
13 September 2015
One Google car, in a test in 2009, couldn’t get through a four-way stop because its sensors kept waiting for other human drivers to stop completely and let it go. The human drivers kept inching forward looking for the advantage – paralyzing Googles robot.
Tom Supple, a Google safety driver said, “It is always going to follow the rules, I mean to the point where human drivers who get in the car and are like ‘Why is the car doing that?'”
_____Six years later in August of 2015 the problem continues as a standoff with a bike rider at an intersection demonstrates _____
Oxtox [the bike rider] says the Googlemobile “apparently detected my presence … and stayed stationary for several seconds.” He then started his track stand, thinking the car would go through the intersection. “It finally began to proceed, but as it did, I rolled forward an inch while still standing. The car immediately stopped.”
“I continued to stand, it continued to stay stopped. Then as it began to move again, I had to rock the bike to maintain balance. It stopped abruptly.”
This sequence of events continued “for about two full minutes and the car never made it past the middle of the intersection.”
“We made NIGHTMARE CODE to open up a highly relevant conversation, asking how our mastery of computer code is changing our basic human codes of behavior. Do we still control our tools, or are we—willingly—allowing our tools to take control of us?”
The movie synopsis: “Brett Desmond, a genius programmer with a troubled past, is called in to finish a top secret behavior recognition program, ROPER, after the previous lead programmer went insane. But the deeper Brett delves into the code, the more his own behavior begins changing … in increasingly terrifying ways.
“NIGHTMARE CODE came out of something I learned working in video-game development,” Netter says. “Prior to that experience, I thought that any two programmers of comparable skill would write the same program with code that would be 95 percent similar. I learned instead that different programmers come up with vastly different coding solutions, meaning that somewhere deep inside every computer, every mobile phone, is the individual personality of a programmer—expressed as logic.
“But what if this personality, this logic, was sentient? And what if it was extremely pissed off?”
Available on Google Play
Abyss Creations, the company beyond Realdoll (life-sized, silicone sex dolls), wants to start making robotic sex dolls that talk back, flirt and interact with the customer. The project, called Realbotix, is the company’s first venture into the world of artificial intelligence. It involves an AI-powered animatronic head that can be fitted onto preexisting doll bodies, a pocket-pet doll accessible through an app and a version of the doll in virtual reality.
We really look at this as much more than being just a sex doll. We’re looking at all the ways this could be used as a companion. The intimacy part of it is obviously very interesting, and a lot of people gravitate toward it. But the implications of what it could do is so much bigger.
For some of our customers, just having the dolls in their house makes them feel not as lonely as they did before. There are people out there that have dolls that they choose to make a permanent part of their being. They don’t want a real relationship with all the responsibility that comes along with it. Usually, for those kinds of people, it’s just an act of time. They’re going through a loss of a loved one or a divorce, and this is a diversion for them to take the edge off of the loneliness. Our hope is that it can be a device to help people get through some of those times.
Source: psfk
PL – Here are more blog posts with different perspectives on the topic: Wider debate around sex robots encouraged.
Human-robot: A new kind of Love?
SIRI-OUSLY: Sex Robots are actually going to be good for humanity
Leading academics in robot ethics have warned that their creation will only increase the objectification of women and children, further dehumanising those who are abused for sex.
The warning comes as artificial intelligence approaches a point where it could be used in robots designed solely to satisfy sexual desires. But such robots, campaigners argue, should not exist.
“The development of sex robots and the ideas to support their production show the immense horrors still present in the world of prostitution,” read a statement on the Campaign Against Sex Robots website. The authors of the campaign argued that sex robots would further increase the perceived “inferiority of women and children” and continue to justify their use as “sex objects”.
The campaign, led by Kathleen Richardson, a senior research fellow in the ethics of robotics at De Montfort University in Leicester and Erik Brilling, an associate senior lecturer in informatics from the University of Skövde in Sweden, hopes to encourage a wider debate around the development of sex robots and their potential implications for society.
The development of “ethical technologies” that reflect the human principles of dignity, mutuality and freedom are critical, the campaign argues. To this end the campaign has called on scientists and roboticists to refuse to help with the development of sex bots, by withholding code, hardware and ideas.
The issue of human-robot sexual relations has made both the big and small screen this year. The AMD and Channel 4 co-production Humans and Alex Garland’s Ex Machina both explored the potential dangers.
Source: Wired
PL – Here are more blog posts with different perspectives on the topic: Sex dolls with artificial intelligence to ease your loneliness?
Human-robot: A new kind of Love?
SIRI-OUSLY: Sex Robots are actually going to be good for humanity
The relationship between humans and their artificial counterparts runs right back to the myths of ancient Greece, where sculptor Pygmalion’s statue was brought to life with a kiss. It is the stuff of legend and of science fiction.
But just as we should avoid importing existing gender and sexual biases into future technology, so we should also be cautious not to import established prudishness.
If robots oughtn’t to have artificial sexuality, why should they have a narrow and unreflective morality? It’s one thing to have a conversation and conclude something about the development of technology; it’s another to demand silence before anyone has had the chance to speak.
But robotics also allows us to explore issues without the restrictions of being human. A machine is a blank slate that offers us the chance to reframe our ideas. The internet has already opened up a world where people can explore their sexual identity and politics, and build communities of those who share their views. Aided by technology, society is rethinking sex/gender dualism. Why should a sex robot be binary?
And sex robots could go beyond sex. What about the scope for therapy? Not just personal therapy (after all, companion and care robots are already in use) but also in terms of therapy for those who break the law. Virtual reality has already been trialled in psychology and has been proposed as a way of treating sex offenders. Subject to ethical considerations, sex robots could be a valid way of progressing with this approach.
To campaign against development is shortsighted. Instead of calling for an outright ban, why not use the topic as a base from which to explore new ideas of inclusivity, legality and social change? It is time for new approaches to artificial sexuality, which includes a move away from the machine-as-sex-machine hegemony and all its associated biases.
Machines are what we make them. At least, for now—if we’ve lost control of that then we have a whole other set of problems. Fear of a branch of AI that is in its infancy is a reason to shape it, not ban it. A campaign to stop killer robots is one thing, but a campaign against sex robots? Make love, not war.
Source: Quartz
Kate Devlin
Senior Lecturer, University of London
“Intelligent machines will form the backbone of what we call the invisible revolution: technologies interacting so seamlessly they become invisible. This technology revolution will help how humans and intelligent machines interact in complex, yet complementary ways.” Patrice Simard, distinguished engineer and deputy managing director at Microsoft
Apple’s Siri has received major upgrades in the upcoming launch of iOS 9. The iPhone maker says that Siri can now answer more questions and more accurately understand queries.
In May Google announced a major upgrade to Google Now that allows the service to “understand” over 100 million locations. Google Now not only lists basic information, but also provide users a range of suggestions, including when would be the best time to visit a local restaurant.
With the launch of Windows 10 in July, Microsoft incorporated Cortana into its operating system and improved its understanding and relevance on several tasks.
Source: Fortune
The reason robots might make sense for many small- and medium-sized farms in the Northeast is because of the challenge of finding reliable workers and outdated infrastructure that makes the operations inefficient, said Richard Kersbergen with the University of Maine Extension.
Jennifer and Jesse Lambert took out seven-year loans for about $380,000 last year to install two robots and retrofit a barn at their organic dairy farm in Graniteville. They were looking for a more consistent way to milk their cows, more time to spend with their newborn son and more money in their pockets. They’re saving $60,000 a year that used to go to paying one full-time and one part-time employee and their cows are producing 20 percent more milk.
“No one wants to milk cows,” Jennifer Lambert said. “Even when we had employees the last thing they wanted to do was milk cows, you know, and they especially didn’t want to do it on the weekend.”
Ron Lawfer’s cows also have produced about 20 percent more milk since two robots were installed in December 2014.
Last April it launched IBM Watson Health. Since that time the company has been busy buying companies including Merge Healthcare, forging partnerships with the likes of Apple, CVS and Johnson and Johnson, hiring a new General Manager and purchasing the unit’s new headquarters in Cambridge, MA.
That’s quite a bit of action in five months, but Steve Gold, CMO for Watson at IBM says the hope is to build a community around attacking the big problems in healthcare in the U.S. and around the world.
“It’s about how do we build a community among the various stakeholders in which all of them stand to gain by coming together and sharing information,” he said.
IBM is throwing a lot of resources at Watson Health and it hopes to use its technology to drive change across the healthcare industry. The Watson Health headquarters will be the center of that, Gold said.
“It’s so much broader than healthcare It’s, about education, prevention and wellness. All of these touchpoint are correlated,” he said.
The new facility will be home to some 700 people initially, but heading to 1,000 in a few years, according to Mike Rhodin, senior vice president of the IBM Watson Group.
PL – This is great. But, Dear Watson, what are you doing to address HUMAN BEHAVIOR since it’s A KEY FACTOR in all health issues?
Sources: Techcunch – Ron Miller, Fortune – Barb Darrow
Hitachi’s double-arm robot during a demonstration at a warehouse in Chiba prefecture, Japan.—Bloomberg News
“Work efficiency improved by 8% in warehouses with the new artificial intelligence program, compared to those without them,” a Hitachi spokeswoman said. “The program can examine an extremely large amount of data to provide the most efficient instruction, which is impossible for human managers to handle.”
Hitachi last month unveiled a fast-moving two-armed robot which it says may replace humans in performing basic functions like retrieving items in warehouses.
Its new artificial intelligence can also analyze how an employee, judging from past experience, tries new approaches to work in an effort to improve efficiency, and can choose the best course of action, the company said. “The AI automatically analyzes the outcome of these new approaches, and selects processes which produce better results and applies it to the next work order,” Hitachi said in a statement.
Tests showed that artificial intelligence could accurately issue work orders for employees at a warehouse, instructing them on the most efficient route to pick up a product on a shelf and complete their duties.
Source: Wall Street Journal
Some experts say the iPhone maker’s strict stance on privacy is likely to undermine its ability to compete in the rapidly progressing field.
Machine learning, which helps devices infer from experience what users are likely to want next, relies on crunching vast troves of data to provide unprompted services, such as the scores for a favorite sports team or reminders of when to leave for an appointment based on traffic.
The larger the universe of users providing data about their habits, the better predictions can be about what an individual might want. But Apple analyzes its users’ behavior under self-imposed constraints to better protect their data from outsiders.
That means Apple largely relies on analyzing the data on each user’s iPhone rather than sending it to the cloud, where it can be studied alongside information from millions of others.
“They want to make a phone that responds to you very quickly without knowledge of the rest of the world,” said Joseph Gonzalez, co-founder of Dato, a machine learning startup. “It’s harder to do that.”
Craig Federighi, senior vice president of Software Engineering, who described the release at a developers’ conference in June as “adding intelligence throughout the user experience in a way that enhances how you use your device but without compromising your privacy, things like improving the apps that you use most.”
And some machine learning experts might be enticed by the challenge of matching Google’s smarts amid privacy constraints, suggested John Duchi, an assistant professor at Stanford University.
If Apple succeeds without compromising privacy, its Mountain View rival may face questions about its approach to analyzing users’ data.
Source: Newsweek
It won’t take long for Messenger’s users to realize M can accomplish much more than your standard digital helper, suspects David Marcus, vice president of messaging products at Facebook. “It can perform tasks that none of the others can,” Marcus says. That’s because, in addition to using artificial intelligence to complete its tasks, M is powered by actual people.
Companies from Google to Taskrabbit are engineering products to act as superpowered personal assistants. Some, like Apple’s Siri, Google Now, or Microsoft’s Cortana, rely entirely on technology, and though they can be used by a lot of people, their range of tasks remains limited.
Others, like startups Magic and Operator or gig-economy companies like TaskRabbit, employ people to respond to text-based requests. These services can get nearly anything done—for a much smaller number of folks.
M is a hybrid. It’s a virtual assistant powered by artificial intelligence as well as a band of Facebook employees, dubbed M trainers, who will make sure that every request is answered.
We start capturing all of your intent for the things you want to do. David Marcus
Facebook’s goal is to make Messenger the first stop for mobile discovery.
Source: Wired
Japan’s Henn-na Hotel (which means “weird hotel”) has a workforce almost entirely made up of robots. Hotel staff are mostly female-shaped humanoid robots that blink, speak Japanese and even know English. There is also a dinosaur-shaped robot with a bow tie that helps customers at the reception desk.
The robot workforce is not a gimmick to entertain a public with future-like amenities, but a true effort to move hotel services into the future.
The hotel will have three robots that will act as receptionists apart from four service and porter robots, and others engaged in menial tasks such as cleaning.
“We’ll make the most efficient hotel in the world,” boasts Huis Ten Bosch president Hideo Sawada. Sawada says he hopes robots will eventually run 90 per cent of the property.
“In the future, we’re hoping to build 1,000 similar hotels around the world,” says Sawada. “I also wanted to do something about hotel prices going up.”
Another futuristic element of the hotel is that there are no room keys. When a guest registers — through an automated service — a picture is taken of their face, and when the guest wishes to enter their room, the door will unlock as soon as the system recognizes their face.
A high-tech system also senses how cold or hot a guest feels and will change the room temperature accordingly. You can also tell the room to turn the lights on or off. Some robots can even initiate simple forms of room service, like delivering snacks and beverages.
Source: Design&Trend, Indian Express
See that Nao robot waving its hand up there? It’s not starting a dance routine: it just had a light-bulb moment, so it’s trying to catch a human’s attention. Rensselaer Polytechnic Institute professor Selmer Bringsjord programmed the three robots to think that two of them were given a “dumbing pill.” In reality, that pill’s a button on top of their heads that can be pressed by the tester. When the tester asked the robots which pill they received, their processors crunched data in order to provide the right answer. Since two of them were unable to talk, only one answered out loud. “I don’t know,” the third robot replied, realizing the truth a short while later.
“Sorry, I know now,” the third Nao waved at the tester. “I was able to prove that I was not given a dumbing pill.” After all, it could speak! That means the machine was able to recognize and differentiate itself from the other two — it was self-aware at that particular point in time.
Source: Engadget
NASA scientist Richard Terrile, who was coincidentally a technical adviser on “Terminator 3: Rise of the Machines” and spends his days trying to develop artificial intelligence, thinks that AI could eventually fix everything from ending world hunger to curing cancer.
“The benefits of AI are that it could solve all the world’s problems. All of them. Seriously. Technology could probably solve all of them in one form or another.”
“I believe it can,” he says. “These very, very advanced information systems, which go way beyond the capabilities of a human, I think are the way to go in actually solving these [problems].”
Source: Huffington Post
NASA Scientist: Artificial Intelligence ‘Could Solve All The World’s Problems’ (If It Doesn’t Terminate Us)
Taipei, June 21, 2015 (CNA) The initial batch of Pepper robots, developed by Japanese mobile carrier SoftBank Corp. and manufactured by Taiwan’s Foxconn Technology Group (富士康), sold out in one minute on the first day of sales in Japan.
The 1,000 units of Pepper available for purchase in June sold out in 60 seconds when online orders started at 10 a.m. on Saturday, according to a statement from SoftBank Robotics Corp., a robotics venture by SoftBank, Foxconn and Chinese e-commerce leader Alibaba Group Holding Ltd.
Orders are no longer being taken and additional sales of Pepper, which sells for 198,000 Japanese yen (US$1,624), are scheduled to be announced on SoftBank’s website in July.
In addition to Pepper’s emotion recognition functions, the robot generates emotions autonomously by processing information from its cameras, touch sensors, accelerometer and other sensors within its “endocrine-type multi-layer neural network,” SoftBank said.
Source: Focus Taiwan
Below is excerpted dialog between an AI powered robot “synth,” called Vera, and her human patient, Dr. Millican, who also happens to be one of the original developers of snyths, from the hit British-American TV drama Humans.
Synth caregiver Vera – Please stick out your tongue.
Dr. Millican – Your kidding me
Synth caregiver Vera – Any non- compliance or variation in your medication intake must be reported to your GP
Dr. Millican – You’re not a carer, you’re a jailer. Elster would be sick to his stomach if he saw what you have become. I’m fine now get lost.
Synth caregiver Vera – You should sleep now Dr Millican, your pulse is slightly elevated.
Dr. Millican – Slightly?
Synth caregiver Vera – Your GP will be notified of any refusal to follow recommendations made in your best interests.
From the TV series Humans, episode #2
AI Quotes
“We have the opportunity in the decades ahead to make major strides in addressing the grand challenges of humanity. AI will be the pivotal technology in achieving this progress. We have a moral imperative to realize this promise while controlling the peril.”
Source: Time
Don’t Fear Artificial Intelligence
by Ray Kurzweil
Dec. 19, 2014
Illustration: Tavis Coburn
Robert Wachter*
Watson, whatever its theoretical potential, is deployed in the all-too-human—and often all-too-inhuman—reality of modern health care. Watson can’t make up for the shortage in primary-care physicians or restore the crucial doctor-patient bond lost in an era of 5-minute office visits.
Most fundamentally, Watson alone can’t change the fee-for-service reimbursement structure, common in the United States, which makes the quantity of care—the number of tests, treatments, and specialist visits—more profitable than bottom-line quality.
* Robert Wachter is a specialist in hospital medicine at the University of California, San Francisco, and author of The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age)
Source: IEEE Spectrum
You really have to stop and think about this for a moment. For the first time in history, the world’s leading experts on accelerating technology are consistently finding themselves too conservative in their predictions about the future of that technology.
This is more than a little peculiar. It tells us that the accelerating change we’re seeing in the world is itself accelerating. And this tells us something deep and wild and important about the future that’s coming for us.
Source: Steven Kotler, and co-writer Ken Goffman
The Future Is Arriving Far Faster Than Expected
“The number one request we hear from girls around the world is that they want to have a conversation with Barbie. Now, for the first time ever, Barbie can have a two-way conversation.”
[- unnamed spokeswoman for Mattel]
The Hello Barbie will be able to play interactive games and tell stories and jokes.
It will also listen to the child’s conversation and adapt to it over time – so, for instance, if a child mentions that they like to dance, the doll may refer to this in a future chat.
The 66th World Health Assembly, consisting of Ministers of Health of 194 Member States, adopted the WHO’s Comprehensive Mental Health Action Plan 2013-2020 in May 2013.
The action plan recognizes the essential role of mental health in achieving health for all people. It is based on a life-course approach, aims to achieve equity through universal health coverage and stresses the importance of prevention.
Four major objectives are set forth: more effective leadership and governance for mental health; the provision of comprehensive, integrated mental health and social care services in community-based settings; implementation of strategies for promotion and prevention; and strengthened information systems, evidence and research.
PL – I know what you’re thinking … what does this post have to do with Artificial Intelligence? Well, if we are to avoid the risks of AI, we have to direct AI to benefit humans. In this case, benefit human mental health. And human mental growth. The fact is, there aren’t nearly enough human counselors, advisers and therapists working today to meet this challenge on their own. Hence, socialized AI, designed to learn a person, knowledgeably interact with him/her, and guide them to resources tailored to their specific needs, isn’t far-fetched. Its essential to support the work of human health care workers in clinical applications. And, its essential for non-clinical and pre-clinical applications to empower humans to help themselves. [FYI: I’ve done my part. I’ve invented protocols, subroutines, algorithms and scripts that will help “socialize” artificial intelligent agents for machine to human interaction. This IP can be licensed or sold to be used by virtually any artificial intelligence developer. Any takers? Learn more here.]
Source: WHO
http://www.who.int/mental_health/publications/action_plan/en/
Huis Ten Bosch, a theme park in typical Dutch style in terms of its architecture in Nagasaki Prefecture has unveiled plans to open the modern hotel with robot staff and other advanced technologies to significantly reduce operating costs.
The hotel will be called Henn-na Hotel, which translates as Strange Hotel. The hotel will be partially staffed by what are termed ‘actroid’ androids – remarkably human-like robots who will be able to greet, carry luggage to rooms, make cups of coffee – and even smile.
The hotel will have three robots that will act as receptionists apart from four service and porter robots, and others engaged in menial tasks such as cleaning.
“We’ll make the most efficient hotel in the world,” boasts Huis Ten Bosch president Hideo Sawada. Sawada says he hopes robots will eventually run 90 per cent of the property.
“In the future, we’re hoping to build 1,000 similar hotels around the world,” says Sawada, CNN quoted Japan’s Nikkei News as saying. Other features will help make Henn-na the most futuristic low-cost hotel in the industry, according to the company.
Guestroom doors will be accessed by facial-recognition technology. Amenities provided in rooms will be kept minimal. Guests can request items through a tablet when needed.
Instead of air-conditioning, a radiation panel will detect body heat in rooms and adjust the temperature. Solar power and other energy-saving features will be used to reduce operating costs.
Source: The Indian Express
“We’ve made a lot of deep advances in many focused areas, but we need one big system to pull a lot of these systems together into one machine,” [Lynne] Parker said. “To have a household robot that can obey your commands, we’re still pretty far from that. I would say 10 to 20 years. It’s not about the glue. When you build one subsystem, it affects how another subsystem should be designed. You can’t build them in isolation and just glue them together. It has to be holistic.”
Source: Computer World
In an article published on Wednesday, Gizmodo’s Zoltan Istvan pointed out that the world was nearing a point where “autonomous, self-aware super intelligences” created by humans would be part of our culture.
And several pastors and theologians told Istvan that there was no reason that a computer could not be saved by Jesus.
“I don’t see Christ’s redemption limited to human beings,” Providence Presbyterian Church Associate Pastor Dr. Christopher Benek insisted. “If AI is autonomous, then we should encourage it to participate in Christ’s redemptive purposes in the world.”
Benek was already thinking ahead to a future with what Istvan called “a nation filled with robot pastors and AI spiritual gurus.”
“The Holy Spirit can work though AI; it can work through anything,” he said. “There may be churches set up to deal and promote religious AI in the future. AI can help spread the word of God. In fact, AI might help us understand God better.”
Giulio Prisco of the “virtual” Turing Church explained to Gizmodo that if humans had a soul then artificial intelligence would too.
“[I]f so, then there is no reason why thinking and feeling AIs shouldn’t be able to be saved,” Prisco wrote in an email. “Once human-like AI exist, they will be persons just like us.”
“It’s only fair to let AI have access to the teachings of all the world’s religions,” he noted. “Then they can choose what they want to believe.”
“But I think it’s highly unlikely that superhuman AI would choose to believe in the petty, provincial aspects of traditional religions. At the same time, I think they would be interested in enlightened spirituality and religious cosmology, or eschatology, and develop their own versions.”
Source: Alternet
AI Quotes
Sonia Chernova, Assistant Professor. Computer Science Department Robotics Engineering Program, Worcester Polytechnic Institute
“I think repeatedly we’ve not met the estimates that we keep making about where we’d be in the future,” said Sonia Chernova, an assistant professor of computer science and the director of the Robot Autonomy and Interactive Learning lab at Worcester Polytechnic Institute in Worcester, Mass. “Reasoning is just really hard, and dealing with the real world is very hard.… But we’ve made amazing gains.”
Computer World: AI is Getting Smarter
Sonia Chernova, an assistant professor of computer science and the director of the Robot Autonomy and Interactive Learning lab at Worcester Polytechnic Institute in Worcester, Mass.
“Watson is explicitly designed around scaling and enhancing the expertise of human beings. It’s a cognitive system designed around us.“
What he means is that Watson isn’t an example of “artificial intelligence” in that it doesn’t make decisions on its own.
Rob Merkel
Rob Merkel, the healthcare and life-sciences leader at the IBM Watson Group, says, “Imagine Watson reading through an entire patient history, all of the information, all of the notes, and then being able to help determine what’s clinically relevant for that particular patient. It doesn’t just summarize or regurgitate information that already exists. It actually provides insights.“ In a way, Merkel notes, it’s like “CliffsNotes for a physician.”
“In the last 20 years of technology’ humans have taken care of and maintained computers,” says Jeff Haynie, CEO of apps analytics platform Appcelerator. “The next 20 years are going to be about computers taking care of us.”
Source: Forbes
January 21, 2015, Parmy Olson, Forbes Staff
Article: Massive Social Experiment On You Is Under Way, And You Will Love It
[Andrew Ng, Chief Scientist at Baibu]
At two conferences this week, the Deep Learning Summit in San Francisco and the Big Talk Summit in Mountain View, the former Stanford University computer science professor [Andrew Ng] took the opportunity to sketch out AI’s challenges to society as it replaces more and more jobs.
“Historically technology has created challenges for labor,” {he noted. But while previous technological revolutions also eliminating many types of jobs and created some displacement, the shift happened slowly enough to provide new opportunities to successive generations of workers. “The U.S. took 200 years to get from 98% to 2% farming employment,” he said. “Over that span of 200 years we could retrain the descendants of farmers.”
But he says the rapid pace of technological change today has changed everything. “With this technology today, that transformation might happen much faster,” he said. Self-driving cars, he suggested could quickly put 5 million truck drivers out of work.
Retraining is a solution often suggested by the technology optimists. But Ng, who knows a little about education thanks to his cofounding of Coursera, doesn’t believe retraining can be done quickly enough. “What our educational system has never done is train many people who are alive today. Things like Coursera are our best shot, but I don’t think they’re sufficient. People in the government and academia should have serious discussions about this.”
“Superintelligence is a distraction,” said Ng, unlikely because we are so far from any possibility of machines that will truly think and possess self-motivation.
It’s time quit worrying about Terminators and Transformers, he said, and focus on the more likely possibility: that machines will kill our jobs long before they kill us.
Source: Forbes, Robert Hof, Contributor
January, 31, 2015
Now, Even Artificial Intelligence Gurus Fret That AI Will Steal Our Jobs
Despite his concerns about Artificial Intelligence, Dr. Eric Horvitz (Head of Microsoft Research) says he is hopeful that artificial intelligence research will benefit humans, and perhaps even compensate for human failings.
As an example, he demonstrated a voice-based system that he designed to ask patients about their symptoms and to respond with empathy. When a mother said her child was having diarrhea, the face on the screen said, “Oh no, sorry to hear that.”
A physician told him afterward that it was wonderful that the system responded to human emotion. “That’s a great idea,” Dr. Horvitz said he was told. “I have no time for that.”
Source: NYT
Read full article by John Markoff (first published in 2009)
Scientists Worry Machines May Outsmart Man
In this in-depth video interview [Published Jan 27, 2015] with Eric Horvitz, head of Microsoft Research, he makes the company’s commitment to AI clear by saying, “Over a quarter of all attention and resources at Microsoft Research is focused on machine intelligence/AI.“
Listen as Eric affectionately describes his own private virtual assistant, Monica. “She is a very brilliant, close personal assistant that knows how to work with people and knows how to make sure my life is better and I coordinate well with my colleagues.”
According to Horvitz, now that we have Cortana, Siri and Google Now setting up a competitive tournament ‘for where’s the best intelligent assistant going to come from, who has the best services, [and] the most human orientated approach to complementing people out,’ that kind of competition is going to heat up the research and investment and bring it more into the spotlight, he said.
The next, if not the last, enduring competitive battlefield among major IT companies will be artificial intelligence, Horvitz said.
Watch this enjoyable video and learn about “situated interaction” and the “symphony of many instruments.”
“If AI is going to threaten humanity, it’s going to be through the fact that it does almost everything better than almost anyone.”
Quote
“Superintelligence is a distraction,” said Ng, unlikely because we are so far from any possibility of machines that will truly think and possess self-motivation.
Source: Forbes
“I am in the camp that is concerned about super intelligence,” Gates wrote. “First, the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well. A few decades after that though, the intelligence is strong enough to be a concern. I agree with Elon Musk and some others on this and don’t understand why some people are not concerned.”
Source: Mashable
“It’s the rare physician who prepares patients to die well, or who will even acknowledge that death is possible, much less imminent. This is a major issue in how doctors interact with their patients — and although I’ve been an ER physician for more than 25 years, it was my father’s illness that made me realize the enormity of the problem.” Brian Goldman, ER physician*
—
In his new book Being Mortal, Harvard professor and surgeon Atul Gawande’s ultimate message is that “death in America is not often enough discussed, and that patients suffer at the hands of well-meaning doctors because of it.”
Harvard physician, Angelo Volandes a hospital-medicine specialist at Massachusetts General Hospital “notes that while medical students and resident physicians today are being trained in end-of-life counseling, most doctors currently in practice graduated medical school before palliative care was ubiquitous, and before The Conversation” [the title of his new book about the importance of talking about death and making this a part of medical curricula.]
“We think our job is to ensure health and survival. But really, it is larger than that.”
“Practicing doctors are a tough group to try and train. That’s what we’ve been trying to do for the past 10 years, and we’ve barely moved the needle. I have much more faith in patients bringing this conversation to doctors than waiting for doctors.”
“In one large study Dr Gawande cites, patients even ended up living just as long when they went into hospice care as did their aggressively medicalized counterparts. Of 4,493 people studied, the researchers concluded, mean survival after three years was actually 29 days longer for hospice patients than for non-hospice patients.”
Source: The Atlantic article: The Fallacy of ‘Giving Up’
James Hamblin
*Brian Goldman quote source: chatelaine.com : An ER doctor sees the health care system through a patient’s eyes
PL – Here’s an idea: Create an intelligent agent capable of starting The Conversation between patient and family. An intelligent agent socialized for human interaction that could learn the patient: his/her views, wants, desires, as it relates to the reality of the person’s health. Socialized AI would not make recommendations or direct a course of action, but rather, interact with the patient to inform/guide the patient in meaningful conversations with family and doctors.
If doctors and nurses are focused on saving lives, and this kind of conversation is difficult for them to initiate, perhaps this is an example of what socialized AI can do to serve doctors and nurses.
From a Backchannel interview with Bill Gates
Steven Levy: Let me ask an unrelated question about the raging debate over whether artificial intelligence poses a threat to society, or even the survival of humanity. Where do you stand?
Bill Gates: I think it’s definitely important to worry about. There are two AI threats that are worth distinguishing. One is that AI does enough labor substitution fast enough to change work policies, or [affect] the creation of new jobs that humans are uniquely adapted to — the jobs that give you a sense of purpose and worth. We haven’t run into that yet. I don’t think it’s a dramatic problem in the next ten years but if you take the next 20 to 30 it could be. Then there’s the longer-term problem of so-called strong AI, where it controls resources, so its goals are somehow conflicting with the goals of human systems. Both of those things are very worthy of study and time. I am certainly not in the camp that believes we ought to stop things or slow things down because of that. But you can definitely put me more in the Elon Musk, Bill Joy camp than, let’s say, the Google camp on that one.
Source: Backchannel
Steven Levy
There is now a broad consensus that AI research is progressing steadily, and that its impact on society is likely to increase. The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable. Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls.
The progress in AI research makes it timely to focus research not only on making AI more capable, but also on maximizing the societal benefit of AI …
Source: Future of Life Institute, Jan. 11, 2015
Title: Research Priorities for Robust and Beneficial Artificial Intelligence: an Open Letter
Read the full Open Letter here
P. Lawson – How timely. Elon Musk and Steven Hawkings and others have already signed this open letter.
As this article points out, the focus now should be on delivering AI that is beneficial to society and robust in the sense that human benefits are guaranteed. ‘Our AI systems must do what we want them to do.’
This is why we began this blog. To explore ways that maximize benefits while avoiding potentially dangerous pitfalls. See point of this blog here.
Businesses of the future will look a lot different than the businesses of today. Most will be staffed by some combination of smart robots, smart machines and people. Technology will likely displace many human workers. In the best research published to date, authors Frey & Osborne of the University of Oxford opine that up to 66% of the U.S. workforce has a medium to high risk of being displaced by technology in the next 10-20 years. What jobs will require humans?
Read the rest of the article here …
Source: Forbes, Jan. 12, 2015
Article: The AI Revolution Will Humanize Businesses
The culture and leadership model needed to create an emotionally positive work environment are very different than the prevalent cultures and models resulting from the Industrial Revolution. Command and control leadership, Theory X leadership beliefs as defined by Douglas McGregor and cultures of fear will not enable the work environment needed in the AI Revolution. The attitudes and behaviors of arrogant, elitist, all-knowing hierarchical leaders will not optimize higher-order human thinking, creativity or emotional engagement. The AI Revolution will require many businesses to confront this reality …
… From a human resource perspective, the mission will change from managing resources to developing people. The human capabilities needed to complement technology in the AI Revolution do not come naturally to us. It is hard to think critically and innovatively. It is hard to manage our emotions and engage non-defensively in frank collaborations. All employees will need individualized, personal developmental coaching (not training) to help them become better thinkers, listeners, collaborators and learners.* In most cases, such coaching will focus on developing emotional and social intelligence, mindfulness, authenticity, humility, empathy, and the managing of one’s fears, ego and emotional defensiveness. For many of us, that is a daily journey not a one-time training intervention.
Read more of this article here
Source: Forbes, Jan. 12, 2015
Article: The AI Revolution will Humanize Businesses
by Professor Ed Hess, author of Learn or Die: Using Science to Build a Leading-Edge Learning Organization (2014)
P.L. – Oh, the irony. As the AI Revolution displaces many human workers, it will force humanistic changes upon most businesses. We’ve needed to do that for a long time. (I wrote a book about it a decade ago.) Whatever it takes to let go of machine thinking. This will be strategically necessary for humans to thrive. (*I should mention here that I have already designed a technology that provides “individualized, personal development coaching.” Tested, validated, deployed, since 2005. Just saying …)
Dozens of scientists, entrepreneurs and investors involved in the field of artificial intelligence, including Stephen Hawking and Elon Musk, have signed an open letter warning that greater focus is needed on its safety and social benefits.
The letter and an accompanying paper from the Future of Life Institute, which suggests research priorities for “robust and beneficial” artificial intelligence, come amid growing nervousness about the impact on jobs or even humanity’s long-term survival from machines whose intelligence and capabilities could exceed those of the people who created them.
“Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls,” the FLI’s letter says. “Our AI systems must do what we want them to do.”
The FLI was founded last year by volunteers including Jaan Tallinn, a co-founder of Skype, to stimulate research into “optimistic visions of the future” and to “mitigate existential risks facing humanity,” with a focus on those arising from the development of human-level artificial intelligence…
Source: Financial Times, Jan. 12, 2015
Article: Scientists and Investors Warn on AI
Open Letter Source: Research Priorities for Robust and Beneficial Artificial Intelligence: an Open Letter
A hospital in Sichuan province uses an imported robotic surgical system to remove a patient’s gallbladder for the first time. Photo provided to China Daily
Since the notion of artificial intelligence became a hot topic around the world, experts started to list the jobs that are most likely to be replaced by robots.
It is no surprise to find that highly repetitive jobs are on the list, but some are beyond imagination to most of us-at the moment.
[PL – You might suspect that factory workers are on the list at number 1, which they are, but check out others on this list that are surprising]:
There is already a robot that can replace part of a lawyer’s job. In 2011, Blackstone Discovery from the United States started to provide a document analysis service to its clients. The artificial intelligence is capable of analyzing 1.5 million documents within several days. The cost of using such AI is less than one tenth of hiring a real lawyer. And lawyers make mistakes, robots don’t.
Associated Press started to use artificial intelligence software to write financial statement reports in July. The software can save 90 percent of writing time so AP can guarantee an immediate release of these reports. AP also uses software to analyze sports rankings and game results.
Robots first carried out surgery in 1993. In 2010, China approved the use of the da Vinci surgical system for operating theatres.
By the end of last year, a total of 3,079 da Vinci robots were operating around the world. China has 28 of them.
On Dec 8, Zhejiang People’s Hospital used the da Vinci robot to remove a tumor from a patient from Mali. The robot has four arms andone endoscope system that can move 360 degrees inside a patient’s body.
The robot was able to remove all of the malignant tissue around the tumor without destroying healthy tissue.
China has already developed a type of robot that can work in fire, water or even after a nuclear explosion. The robot, developed by Shanghai Jiaotong University, is set to be widely used in rescue work.
Siasun Robot & Automation Co in Shenyang, Liaoning province, has developed a nursing machine that can tell jokes, play music, canbe depended on to deliver food to a patient punctually, and will do all that is required if there is an emergency.
In the United States, experts are developing a robot that can replace humans to attend Ebola patients so that humans can avoid beinginfected by the virus.
Source: ChinaDaily
In the event that robots one day attempt to destroy humanity, 2014 will be remembered as the year that two of technology’s great geek heroes, Elon Musk and Stephen Hawking, predicted it would happen. And if that never comes to pass, 2014 will go down as the year two of the world’s smartest people had a media panic attack about robots for no reason.
In August, Musk tweeted that artificial intelligence could be more dangerous than nuclear weapons and in October, likened it to “summoning a demon.” Hawking, meanwhile, told the BBC in December that humanistic artificial intelligence could “spell the end of the human race.” The context for the claim was a discussion of the AI aide that helps Hawking to speak despite the theoretical physicist’s crippling ALS.
Read more here, Source: Defense One
In November, Undersecretary of Defense Frank Kendall quietly issued a memo to the Defense Science Board that could go on to play a role in history.
The calls for a new study that would “identify the science, engineering, and policy problems that must be solved to permit greater operational use of autonomy across all war-fighting domains…Emphasis will be given to exploration of the bounds-both technological and social-that limit the use of autonomy across a wide range of military operations. The study will ask questions such as: What activities cannot today be performed autonomously? When is human intervention required? What limits the use of autonomy? How might we overcome those limits and expand the use of autonomy in the near term as well as over the next 2 decades?”
A Defense Department official very close to the effort framed the request more simply. “We want a real roadmap for autonomy” he told Defense One. What does that mean, and how would a “real roadmap” influence decision-making in the years ahead? One outcome of the Defense Science Board 2015 Summer Study on Autonomy, assuming the results are eventually made public, is that the report’s findings could refute or confirm some of our worst fears about the future of artificial intelligence.
Source: Defense One
Amazon has a vast battalion of robots to help ensure your new television arrives on time this holiday season.
The ecommerce giant revealed that it now has more than 15,000 robots in action at its fulfillment centers around the country, as well as Robo-Stow, a large robotic arm. The robots move shelves of products around the vast facilities to make employees and the company more efficient.
The robots are developed by Kiva Systems, a robotics firm that Amazon acquired for $775 million in 2012.
Source: Mashable
Phil Lawson: On nearly a daily basis we read statements from “experts” in artificial intelligence predicting timeframes for when machines will think …
These predictions are typically followed by proclamations of how this will lead to the salvation or destruction of humanity.
To my knowledge, there is no common definition for “think” as it relates to machines and humans. So let’s recognize how little we know about “intellect” in this space. In fact, brain experts are only beginning “to pinpoint” what 86 billion neurons in the human brain do. Note the following from science writer Stephen S. Hall in Technologyreview.com:
“In January 2013, the European Commission invested a billion euros in the launch of its Human Brain Project, a 10-year initiative to map out all the connections in the brain. Several months later, in April 2013, the Obama administration announced an initiative called Brain Research through Advanced Innovative Neurotechnologies (BRAIN), which is expected to pour as much as $1 billion into the field, with much of the early funding earmarked for technology development.”
Only now, in the past year or two have governments stepped up with billions to “map out all the connections in the human brain.” And yet, AI coders are busy right now trying to lay down the algorithms for deep learning without the conclusions of this research.
This begs the question, then: If the ultimate goal of the humans who are designing Artificial Intelligence is to advance the human experience, then specialists in diverse fields related to our humanity must be invited to the discussion while the cultural blueprint is being written for AI. If, however, the motivations of these creators involves compartmentalized thinking — ‘first to the market’ rationale, or purely name recognition, or a 30-pieces-of-silver scenario, then patching up and fixing up the remains of an incomplete invention, Frankensteinian-style, might very well be the scary outcome.
“At information-intensive companies, the culture and structure of the organization could change if machines start occupying positions along the knowledge-work value chain. Now is the time to begin planning for an era when the employee base might consist both of low-cost Watsons and of higher-priced workers with the judgment and technical skills to manage the new knowledge “workforce.” At the same time, business and government leaders will be jointly responsible for mitigating the destabilization caused by the displacement of knowledge workers and their reallocation to new roles. Retraining workers, redesigning education, and redefining the nature of work will all be important elements of this effort.
Source: McKinsey Quarterly: Ten IT-enabled business trends for the decade ahead
AI Quotes