AI News, AI will have mostly positive effect on humans by 2030, says Pew study artificial intelligence
ISchool Professor Lee McKnight Contributes to Pew Research Report on Future of Artificial Intelligence
School of Information Studies (iSchool) Associate Professor Lee McKnight has contributed his opinions on the changes coming to the artificial intelligence (AI) field in a recently published Pew Research Center report titled “Artificial Intelligence and the Future of Humans.” Published last week as a joint effort by the Pew Research Center and the Imagining the Internet Center at Elon University, the report is the result of a large-scale canvassing of technology experts, scholars, corporate and public practitioners and other leaders, where they were prompted to share their answer to the following query: “Please think forward to the year 2030.
What actions might be taken to assure the best future?” In addressing the prompt, McKnight said, “There will be good, bad and ugly outcomes from human-machine interaction in artificially intelligent systems, services and enterprises.… Poorly designed artificially intelligent services and enterprises will have unintended societal consequences, hopefully not catastrophic, but sure to damage people and infrastructure.
Some of the concerns noted by report respondents include data abuse, job loss and dependence lock-in, while, on the positive side, experts see opportunities for new work and life efficiencies, health care improvements and advances in education.
AI should make our lives better by 2030, though there are 'problems to worry about', Pew study suggests | Genetic Literacy Project
That’s one of the takeaways from a new AI study released Monday [December 10] by the Pew Research Center and Elon University’s Imagining the Internet Center. Pew canvassed the opinions 979 experts over the summer, a group that included prominent technologists, developers, innovators and business and policy leaders.
Respondents, some of whom chose to remain anonymous, were asked to weigh in on a weighty question: “By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them?” Nearly two-thirds predicted most of us will be mostly better off.
If tech experts worry about artificial intelligence, shouldn’t you?
Fifty years ago last Sunday, a computer engineer named Douglas Engelbart gave a live demonstration in San Francisco that changed the computer industry and, indirectly, the world.
In the auditorium, several hundred entranced geeks watched as he used something called a “mouse” and a special keypad to manipulate structured documents and showed how people in different physical locations could work collaboratively on shared files, online.
Engelbart, with a no-hands mic, talked them through, a calm voice from Mission Control as the truly final frontier whizzed before their eyes.” That 1968 demo inspired a huge new industry based on networked personal computers using graphical interfaces, in other words, the stuff we use today.
Computers, in his view, were “power steering for the mind” – tools for augmenting human capabilities – and this idea of augmentation has been the backbone of the optimistic narrative of the tech industry ever since.
The dream has become a bit tarnished in the last few years, as we’ve learned how data vampires use the technology to exploit us at the same time as they provide free tools for our supposed “augmentation”.
To try and get a balanced assessment of the risk, the Pew Research Center recently put the following question to a formidable panel of experts: “By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them?” The answers are revealing and sobering.
Many of them perceive and welcome the augmentation potential of AI, but others fear that our increasing dependence on the technology will erode our capacity to think for ourselves, take independent action or interact effectively with others.
- On Friday, January 18, 2019
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