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Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures.

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Summary

Artificial intelligence (AI) development is rapid, but lacks human wisdom. This research proposes overcoming AI limitations to achieve true machine wisdom and innovation.

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Area of Science:

Computer Science
Artificial Intelligence
Cognitive Science

Background:

Artificial intelligence (AI) has seen significant advancements, yet lags behind human wisdom.
Current AI relies on post hoc inference, lacking exploratory innovation and prospective reasoning.

Purpose of the Study:

To bridge the gap between machine intelligence and human wisdom.
To propose conjectures for advancing AI beyond current limitations.

Main Methods:

Drawing inspiration from human wisdom.
Addressing four key dilemmas in machine intelligence: silicon-based cognition neglect, lack of artistry, perfectionism, and uniformity obsession.

Main Results:

Conjectures presented to overcome AI limitations.
Framework for advancing AI towards machine wisdom.

Conclusions:

Proposed conjectures aim to propel machine intelligence towards human-like wisdom.
Achieving a significant leap in AI capabilities, moving from 1 to 'i'.