This might be a controversial post.
My Thanksgiving was one filled with texting, Snapchat, Skyping, Facetime, Beam robots and ringing phones.
Some people HATE the way technology impacts their family at gatherings — people on digital devices rather than having conversations — “making us more alone, even when we’re together.” But is that really true?
As the line between tabloid media and mainstream media becomes more diffuse, news items such as Ebola, pit bulls, Deflategate, and Donald Trump can frequently generate a cocktail of public panic, scrutiny, and scorn before the news cycle moves on to the next sensational headline. According to Robotics Expert and self-proclaimed “Robot Psychiatrist” Dr. Joanne Pransky, the same phenomenon has happened in robotics, which can shape public perception and, by extension, the future development of robots and AI.
“The challenge, since robotics is just starting to come into the mainstream, is that most of the country is ignorant. So, if you believe what you read, then I think people have a very negative and inaccurate picture (of robotics),” Pransky said. “I spend a lot of time bashing negative headlines, such as ‘ROBOT KILLS HUMAN,’ when actually the human killed himself by not following proper safety standards. A lot of things are publicized about robotics, but there’s nothing about the robot in the article. It leads people on the wrong path.”
Pransky has spent much of her time trying to present an accurate depiction and provoke thoughtful discussion about robotics that separates fact from science fiction, as elaborated upon in this well-written TechRepublic article. To that end, she’s spent almost her entire career educating the public on the real issues facing robots and robotics. Showing an actual robot in action, she believes, is the best way to educate the public about the potential, and limits, of robotics.
Pransky noted that YouTube videos, such as the Boston Dynamics Big Dog robot videos, are great for presenting robotics in a positive light. Yet a similar video, showing a human kicking the BigDog robot to test its stability, can also present a negative image to the general public — that robots needs to be kicked around because they’re dangerous, unintelligent, or won’t work otherwise.
On the contrary, futuristic feature films such as “Her” and “Ex Machina”, while still presenting darker plots, are a robot psychiatrist’s dream, she added. “What is it like to have a robot live with us? And to (have that robot) be a nanny and a lover and how will it change the whole family dynamic? These things, to me, are not science fiction, they’re inevitable,” Pransky said. “Whether or not it occurs exactly the way you see it in science fiction in our lifetime is a different question. To me, it’s not a question of when… it’s happening.”
The area that Pranksy believes is most misconstrued is the media’s depiction of autonomous weapons in the military. The biggest problem, she said, is that most people now believe there are completely autonomous weapons in use. What the public overlooks is, even if the military did have autonomous robots, it doesn’t necessarily mean those machines would be 100 percent unsupervised by humans in the decision-making. The larger issue, she believes are the related moral issues, which need to be discussed.
“I really believe, when it comes to humans, the most important thing is not the future of intelligence and AI, it is social intelligence and emotional intelligence. If we’re going to be working with entities that technology has merged together, how are we going to get it right with something that’s not 100% biological versus nonbiological?” she said. “I think there should be more emphasis on issues like moral laws and stages of moral development. I think that is very important in any of these discussions.”
On a broader scale, the recent concerns about uncontrolled AI expressed by Stephen Hawking, Elon Musk, and Bill Gates shined a lot of negative light on robotics, Pransky said. She recognizes Musk, Hawking and Gates as some of the top minds in the world on the topics of future AI and robotics, but notes that “they’re not sociologists or psychologists”. Given that, Pransky said the public should take their views about the future of robotics with a grain of salt.
Looking to the future, Pransky sees the need to address the public’s concerns about robotics before the industry has a “Pearl Harbor moment”. She believes that robots are still “out-of-sight, out-of-mind” for much of the general public, and thinks lawmakers need to consider how the robotics industry will develop before the urgent, last-minute need arises.
“Recently, computers stopped United Airlines on the same day it stopped the stock market and we paid attention more. It’s human nature that, unless there is something catastrophic, we don’t respond as well or as quickly, but we don’t have to be so ‘doomsday’ about it,” Pransky said. “Robotic law is a very huge deal. We absolutely need to bring laws and regulation to federal attention.”
A week and a half ago, we learned that Tesla is on a quest to hire more engineers to accelerate the development of its self-driving car technologies.
Tesla was already no slouch in the autonomous-vehicle world, having released its Autopilot feature into the wild just over a month ago.
We sampled Autopilot as soon as it hit the streets and were quite impressed, to put it mildly.
The results are mixed, of course, but it’s fascinating to watch the neural network make mistakes (and sometimes correct itself) in real time. The open source program being used is called NeuralTalk and was first unveiled last year, with the researchers providing updates on the network’s capabilities since. Other companies and institutions are working on similar technology. Last month, for example, Facebook unveiled a prototype neural network that’s intended to help blind people by describing pictures.
Posted in biotech/medical, health, information science, life extension, robotics/AI | Leave a Comment on Beauty.AI Announces the First International Beauty Contest Judged by an Artificial Intelligence Jury
London, UK, November, 19, 2015 (PRWEB UK) 19 November 2015.
What matters in beauty is perception. Perception is how you and other people see you, and this perception is almost always biased. Still, healthy people look more attractive despite their age and nationality.
This has enabled the team of biogerontologists and data scientists, who believe that in the near future machines will be able to get a lot of vital medical information about people’s health by just processing their photos, to develop a set of algorithms that can accurately evaluate the criteria linked to perception of human beauty and health where it is most important – the human face. But evaluating beauty and health is not enough. The team’s challenge is to find effective ways to slow down ageing and help people look healthy and beautiful.
The first global autonomous car racing championship will start in 2016, the creators of Formula E have announced.
Known as RoboRace, the series will see completely autonomous electric cars compete in one-hour races designed to test artificial intelligence.
Races, which will take place on the same day and circuits as the Formula E championship, will have 10 teams and 20 cars competing.
Humai, a technology company based in Los Angeles, says that it is working on a project known as “Atom & Eve” that would let human consciousness be transferred to an artificial body after their death.
Artificial intelligence, the most important and major discovery of science will be one of the most helpful things in the whole project. The Humai have already started working on human rebirth using artificial intelligence.
The three technologies collectively used by the tech giant company are “Nanotechnology, bionics & artificial intelligence”. The company is expecting the whole system to be ready in 3 decades and, of course, this type of work requires this much time.
Russell also signed the letter, but he says his view is less apocalyptic. He says that, until now, the field of artificial intelligence has been singularly focused on giving robots the ability to make “high-quality” decisions.
“At the moment, we don’t know how to give the robot what you might call human values,” he says.
But Russell believes that as this problem becomes clearer, it’s only natural that people will start to focus their energy on solving it.
