AI News, Pew: 37% of technologists don't think AI will improve lives by 2030 ... artificial intelligence
37% of Tech Experts Worry Artificial Intelligence Will Make Humanity Worse by 2030
More than a third of AI experts surveyed by Pew Research said they are concerned that artificial intelligence will leave humanity worse off in 2030 than they are now, with the majority optimistic that the benefits will make life better for individuals.
And while AI is expected to create some new jobs as well as make other jobs more productive, some respondents said that it could also lead to widespread job losses, and the sense of meaning that comes with work.
“The answer depends on whether we can shift our economic systems toward prioritizing radical human improvement and staunching the trend toward human irrelevance in the face of AI,”
I mean true, existential irrelevance, which is the end result of not prioritizing human well-being and cognition.” Some also saw a potential risk to human liberty if AI expertise widens a gap between the powerful and the powerless.
separate report from Diffbot this month estimated that 720,000 people are skilled at machine learning around the world, or nearly 1% of the world’s population.
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Machine learning, artificial intelligence, blockchain—these emerging technologies are shaking up industries across the board, but many HR professionals are still wary about applying them to the work they do, says HR digital transformation strategist Sherryanne Meyer.
“Data management has to be taken seriously not only in terms of ensuring consistent data definitions and data entry culture, but also protecting the data,' she says.
To help HR professionals get started, we talked with Meyer about applications of machine learning, AI and blockchain that organizations can start to test today, and the data best practices for effective execution.
If an employee needs development in an area that doesn't explicitly require training, or someone shows potential in an area not currently related to his or her job, it's cumbersome to find the right training.
learning platform with AI at its core can take in employee data from performance reviews, see the areas where someone needs development, and produce a list of generate a list of suggested courses for that employee available in the organization's learning system.
According to a recent survey from IT service management company Sierra-Cedar, 8 percent of organizations adopted machine learning in 2018 and 21 percent said they're evaluating the technology for future use.
The report also notes that early forms of machine learning may be mistaken for AI in HR organizations, and that machine learning may already be embedded in existing technology without HR teams fully realizing it.
In layman's terms, machine learning allows computers to complete tasks independently of humans, and they get better at doing those tasks over time .
Today, managers at retail stores develop staff schedules based on the shopping season and sales generated in previous years—'But machine learning can bring other data points into staffing decisions, and connect data across sources,' Meyer explains.
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Combine that trick with the other illusion that creates motion in a motion picture (persistence of vision that blends one image into the next slightly separated image), and you have a 3D movie, most of which have been lame to lousy so far.
“It has developed an itty-bitty projector that shines light into your eyes—light that blends in extremely well with the light you’re receiving from the real world,” writes Rachel Metz, who reviewed the system for MIT Technology Review.
“I can envision someday having a video chat with faraway family members who look as if they’re actually sitting in my living room while, on their end, I appear to be sitting in theirs…Or watching movies where the characters appear to be right in front of me, letting me follow them around as the plot unfolds.”
In a video created by her team, a cube of the ceramic is crushed by a mechanical apparatus, but as it collapses and the weight is removed, it oddly lifts back up into its original shape.
One of the related teams Greer works with is made up biologists who want to see if her nanostructured ceramic “could serve as a scaffold for growing bones—such as the tiny ones in the ear whose degeneration is one cause of deafness.”
“It lets cars broadcast their position, speed, steering-wheel position, brake status, and other data to other vehicles within a few hundred meters.” So your car would have a clear picture of everything around it with enough space to allow time for reacting to situations.
While here in the United States the FCC is working on legally defining the Internet as a public utility service, protected by the fair practices you would expect for gas, electric, and your phone, Google is trying to come up with the best way to provide service to the 4.3 billion, planet-wide, who still live offline.
The necessity side of the equation involves 700 million people today who don’t have sufficient sources of clean water and the 1.8 billion in the next 10 years.
Technological improvements at the new Sorek desal plant in Israel include larger pressure tubes, more efficient pumps, and energy recovery devices providing “the cheapest water from seawater desalination produced in the world,” according to Raphael Semiat, a chemical engineer at the Israel Institute of Technology in Haifa.
But more importantly, because the organoid is derived from a specific person, tissue clusters grown from a skin cell of someone suffering from schizophrenia or Alzheimer’s disease can be analyzed for clues about those dysfunctions.
When it comes to converting sunlight into chemical energy that causes the plant to grow, a plant like corn is much more efficient than rice in firing up the process that keeps the planet green and people fed.
In his description of breakthrough number 9, Kevin Bullis writes about something called C4 photosynthesis—a supercharged process that works by capturing and shunting carbon dioxide, “concentrating it in specialized cells in the leaves.
Bullis continues, “If C4 rice ever comes about, it will tower over conventional rice within a few weeks of planting.” The yield per hectare would be increased by 50%, and there would be far less water and fertilizer required.
Bullis points out that 40% of the diet of humans consists of corn and rice, and recent statistics show the leveling off of the yields of these crops at a time when populations continue to grow.
Progress is slow, and it’s likely to take a decade or more before the genetic modifications will appear in rice fields, but according to Bullis there are also a number of other crops that are part of the C4 research, including wheat, potatoes, tomatoes, apples, and soybeans.
As labs are now able to sequence human genomes at the rate of two per hour and medicine is increasingly turning to sequencing for diagnosis and treatment, the need for large, available databases for researchers and practitioners is growing.
In his article for the MIT Technology Review, Antonio Regalado illustrates the value of such a database with the case of a six-year-old who is suffering from an unknown disorder that has seriously delayed his development, is shrinking his cerebellum, and is making him sicker with symptoms that have stumped his physicians.
But unless they find a second child with same symptoms, and a similar DNA error, his doctors can’t zero in on which mistake in Noah’s genes is the crucial one.” They plan to send Noah’s DNA information out on the Internet, but today there are no protocols for collecting, organizing, and sharing DNA databases.