From Machine Learning to Artificial General Intelligence: A Roadmap and Implications
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Published:2023-08-24
Issue:
Volume:
Page:81-91
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ISSN:
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Container-title:Mesopotamian Journal of Big Data
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language:
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Short-container-title:MJBD
Affiliation:
1. Department of Computer, College of Education, AL-Iraqia University, Baghdad, Iraq.
Abstract
The prospect of developing artificial general intelligence (AGI) with the same comprehensive capabilities as the human mind presents humanity both tremendous opportunities and dire risks. This paper explores the potential applications and implications of AGI across diverse domains including science, healthcare, education, security, and the economy. However, realizing AGI's benefits requires proactive alignment of its goals and values with those of humanity through responsible governance. As AGI approaches and possibly surpasses human-level intellectual abilities, we must grapple with complex ethical issues surrounding autonomy, consciousness, and disruptive societal impacts. The exact timeline for achieving AGI remains uncertain, but its emergence will likely stem from the convergence of advanced technologies like big data, neural networks, and quantum computing. Ultimately, the creation of AGI represents humanity's greatest opportunity to profoundly enhance flourishing, as well as our greatest challenge to steer its development toward benevolence rather than catastrophe. With sage preparation and foresight, AGI could usher in an unparalleled era of insight and invention for the betterment of all people. But without adequate safeguards and alignment, its disruptive potential could prove catastrophically destabilizing. This paper argues prudently governing the transition to AGI is essential for harnessing its transformative power to elevate rather than endanger our collective future.
Publisher
Mesopotamian Academic Press
Subject
General Earth and Planetary Sciences,General Environmental Science,Building and Construction,General Medicine,General Medicine,General Medicine,General Medicine,General Medicine,Energy Engineering and Power Technology,Fuel Technology,General Materials Science,Ocean Engineering
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2 articles.
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