Creating Diversity in Artificial Intelligence and Machine Learning
AssigneeSony Interactive Entertainment Inc.
InventorAlbhy Galuten
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Abstract
The present invention concern systems and methods for maintaining diversity in AI and ML environments through the cooperation of various AI and ML systems such that they optimize for social and cultural diversity. The examination of behavior, infrastructure, and governance, mimicking of genetic biodiversity, and application of the foregoing to machine reasoning mitigates the tendency of systems to find optimized or single best solutions. AI and ML environments may thus derive multiple diverse solutions that contribute to richer ecosystems in which human beings may function and thrive.
Claims1
A system for enhancing diversity through machine learning, the system comprising:
- storage that maintains information concerning behaviors, infrastructure, and governance;
- a software engine maintained in a non-transitory storage medium and executable by a processing device to:
- gather training sets;
- analyze the information concerning behaviors, infrastructure, and governance in light of the training sets;
- output policy suggestions that deviate from a single best solution in favor of multiple diverse solutions.
Dependencies are inferred from the claim text.