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Putting AI in the Critical Loop
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Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams

Book Details

Format Paperback / Softback
ISBN-10 0443159882
ISBN-13 9780443159886
Publisher Elsevier Science Publishing Co Inc
Imprint Academic Press Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 22nd, 2024
Print length 304 Pages
Weight 650 grams
Dimensions 19.20 x 23.50 x 1.90 cms
Ksh 29,350.00 Werezi Extended Catalogue

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Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams takes on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge knowledge gaps, but also to advance this science to develop better solutions. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a “collective intelligence.? Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.
Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams takes on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge knowledge gaps, but also to advance this science to develop better solutions. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other''s weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence.” Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.

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