Document Type

Conference Proceeding

Publication Date

1-1-2019

Publication Title

AI Magazine

Abstract

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.

Volume

40

Issue

3

First Page

59

Last Page

66

DOI

10.1609/aimag.v40i3.5181

ISSN

07384602

Comments

Archived as published.

AI Magazine is part of the PKP (Public Knowledge Project) OJS (Open Journal Systems)

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