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Bridging human and machine learning for the needs of collective intelligence development

2020

There are no doubts that artificial and human intelligence enhance and complement each other. They are stronger together as a team of Collective (Collaborative) Intelligence. Both require training for personal development and high performance. However, the approaches to training (human vs. machine learning) are traditionally very different. If one needs efficient hybrid collective intelligence team, e.g. for managing processes within the Industry 4.0, then all the team members have to learn together. In this paper we point out the need for bridging the gap between the human and machine learning, so that some approaches used in machine learning will be useful for humans and vice-versa, some …

Human intelligencebusiness.industryComputer scienceCollective intelligencedeep learningcollective intelligencetekoälyartificial intelligenceMachine learningcomputer.software_genreIndustrial and Manufacturing EngineeringPersonal developmentBridging (programming)koneoppiminenArtificial IntelligenceArtificial intelligenceindustry 4.0teollisuusjoukkoälybusinessuniversity for everythingcomputerProcedia Manufacturing
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