The university as decision center
In: IEEE technology and society magazine: publication of the IEEE Society on Social Implications of Technology, Band 20, Heft 2, S. 6-17, 29
ISSN: 0278-0097
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In: IEEE technology and society magazine: publication of the IEEE Society on Social Implications of Technology, Band 20, Heft 2, S. 6-17, 29
ISSN: 0278-0097
In: Journal of social philosophy, Band 29, Heft 3, S. 74-86
ISSN: 1467-9833
Applications of machine learning combined with AI algorithms have propelled unprecedented economic disruptions across diverse fields in industry, military, medicine, finance, and others. With the forecast for even larger impacts, the present economic impact of machine learning is estimated in the trillions of dollars. But as autonomous machines become ubiquitous, recent problems have surfaced. Early on, and again in 2018, Judea Pearl warned AI scientists they must "build machines that make sense of what goes on in their environment," a warning still unheeded that may impede future development. For example, self-driving vehicles often rely on sparse data; self-driving cars have already been involved in fatalities, including a pedestrian; and yet machine learning is unable to explain the contexts within which it operates.
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In: Bulletin of the atomic scientists, Band 40, Heft 7, S. 46-56
ISSN: 1938-3282