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Most of 2030’s Jobs Haven’t Been Invented Yet

In theory, this kind of online job matching could lead to less bias and discrimination in hiring practices. However, there are potential pitfalls.

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In theory, this kind of online job matching could lead to less bias and discrimination in hiring practices. However, there are potential pitfalls.

More than two-thirds of jobs that today’s college students will have in 11 years haven’t been invented yet.

“Those who plan to work for the next 50 years, they have to have a mindset of like, ‘I’m going to be working and learning and working and learning, and working and learning,’ in order to make a career,” says Rachel Maguire, a research director with the Institute for the Future, which forecasts that 85 percent of the jobs that today’s young people will hold in 2030 don’t exist right now.

The Institute for the Future, a nonprofit that identities emerging trends and their impacts on global society, envisions that by 2030, we’ll be living in a world where artificial assistants help us with almost every task, not unlike the way email tries to finish spelling a word for users today.

Maguire says it will be like having an assistant working alongside you, taking on tasks at which the human brain does not excel.

“For the human, for the people who are digitally literate who are able to take advantage, they’ll be well-positioned to elevate their position, elevate the kind of work they can do, because they’ve got essentially an orchestra of digital technologies that they’re conducting,” she says. “They’re just playing the role of a conductor, but the work’s being done, at least in partnership, with these machines.”

New technology in the next decade is expected to lead to new human-machine partnerships that will make the most of each partner's respective strengths.
New technology in the next decade is expected to lead to new human-machine partnerships that will make the most of each partner’s respective strengths. VOA

The U.S. Bureau of Labor Statistics says today’s students will have eight to 10 jobs by the time they are 38.

And they won’t necessarily have to take time away from any one of those jobs for workforce training or to gain additional certifications related to their fields. Instead, they’ll partner with machines for on-the-job learning, wearing an augmented reality headset that will give them the information they need in real-time to get the work done.

“It eliminates the need for people to step away from income generating opportunities to recertify in order to learn a new skill so they can level up and earn more money,” Maguire says. “It gives the opportunity for people to be able to learn those kinds of new skills and demonstrate proficiency in-the-moment at the job.”

Students use virtual reality for an immersive educational experience. VR blocks out the physical world and transports the user to a simulated world. (Courtesy Dell.com)
Students use virtual reality for an immersive educational experience. VR blocks out the physical world and transports the user to a simulated world. (Courtesy Dell.com) VOA

And forget about traditional human resources departments or the daunting task of looking for a job on your own. In the future, the job might come to you.

Potential employers will draw from different data sources, including online business profiles and social media streams, to get a sense of a person and their skill set.

Maquire says there’s already a lot of activity around turning employment into a matchmaking endeavor, using artificial intelligence and deep learning to help the right person and the right job find each other.

In theory, this kind of online job matching could lead to less bias and discrimination in hiring practices. However, there are potential pitfalls.

“We have to be cognizant that the people who are building these tools aren’t informing these tools with their own biases, whether they’re intentional or not,” Maguire says. “These systems will only be as good as the data that feeds them.”

Also Read: Migrant Caravan Still Stuck in Mexico Shelter, Frustration Grows By Every Passing Day

Which leads Maguire to another point. While she doesn’t want to sound melodramatic or evangelical about emerging technologies, she believes it is critical for the public to get engaged now, rather than sitting back and letting technology happen to them.

“What do we want from these new technological capabilities, and how do we make sure we put in place the social policies and the social systems that will result in what it is we all want?” she says. “I have a deep concern that we’re just kind of sitting back and letting technology tell us what jobs we’ll have and what jobs we won’t have, rather than us figuring out how to apply these technologies to improve the human condition.” (VOA)

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Google Claims Eye Doctors Can Turn More Effective Using AI

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm. 

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The research team at Google AI believes that some of these pitfalls may be avoided if the computer can "explain" its predictions. Pixabay

As Artificial Intelligence (AI) continues to evolve, diagnosing diseases has become faster with greater accuracy. A new study from the Google AI research group shows that physicians and algorithms working together are more effective than either one alone.

In the study, to be published in the journal Ophthalmology, the researchers created a system which not only improved the ophthalmologists’ diagnostic accuracy but also improved the algorithm’s accuracy.

The study expands on previous work from Google AI showing that its algorithm works roughly as well as human experts in screening patients for a common diabetic eye disease called diabetic retinopathy.

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To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance. Pixabay

“What we found is that AI can do more than simply automate eye screening, it can assist physicians in more accurately diagnosing diabetic retinopathy. AI and physicians working together can be more accurate than either one alone,” said lead researcher Rory Sayres.

Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said.

According to the team, previous attempts to use computer-assisted diagnosis shows that some screeners rely on the machine too much, which leads to repeating the machine’s errors, or under-rely on it and ignore accurate predictions.

The research team at Google AI believes that some of these pitfalls may be avoided if the computer can “explain” its predictions.

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Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said. Pixabay

To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance.

Also Read: U.S. Government Human Rights Report Shows ‘Amber’ Warning Light Situation in Hong Kong

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm.

With assistance, general ophthalmologists match but do not exceed the model’s accuracy, while retina specialists start to exceed the model’s performance. (IANS)