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Dimon, one of the world’s most influential business leaders, said in his annual shareholder letter Monday that while he doesn’t yet know the full effect AI will have on business, the economy ...
Baum advocates for "cooperative relationships, and positive framing of AI researchers" and cautions against characterizing AI researchers as "not want(ing) to pursue beneficial designs". [18] In his book Human Compatible, AI researcher Stuart J. Russell lists three principles to guide the development of beneficial machines. He emphasizes that ...
The association is also built of thematic foundations that drive Partnership on AI's focus. Atop the programs mentioned above, Partnership on AI looks to expand upon the social impact of AI, encouraging positive social utility. The organization has highlighted potential benefits of AI within public welfare, education, sustainability, etc.
Even before GenAI takes hold, the predictions about its productivity impact have been optimistic. McKinsey thinks AI could add $4.4 trillion in corporate profits annually. (For context, the U.K ...
[8] [25] In a third scenario, a superintelligent "Protector" AI gives humans the illusion of control, by hiding or erasing all knowledge of its existence, but works behind the scenes to guarantee positive outcomes. In all three scenarios, while humanity gains more control (or at least the illusion of control), humanity ends up progressing more ...
Much of the philanthropy is focused on what is known as technology for good or “ethical AI,” which explores how to solve or mitigate the harmful effects of artificial-intelligence systems.
As it improves, the transformative effects of AI on the nature of work and the labor market are also poised to become an increasingly contentious societal issue. But a lot remains to be done, and ...
However, they also advise that with the right responses by business leaders, policy makers and society, the impact of AI could be a net positive for workers. [114] [115] Morgan R. Frank et al. cautions that there are several barriers preventing researchers from making accurate predictions of the effects AI will have on future job markets. [116]