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

By: USA) Sofge DC Washington PhD Donald (Edited by) , James Llinas (Edited by) , Prithviraj Dasgupta (Edited by) , USA) Mittu DC Washington Ranjeev (Edited by) , Scott Fouse (Edited by) , Tony Gillespie (Edited by) , William Lawless (Edited by)

Extended Catalogue

Ksh 38,700.00

Format: Paperback or 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

Publication Status: Active

Product extent: 304 Pages

Weight: 650.00 grams

Dimensions (height x width x thickness): 19.20 x 23.50 x 1.90 cms

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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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