Putting AI in the critical loop: assured trust and autonomy in human-machine teams
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...
Gespeichert in:
| Weitere Verfasser: | , , , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London ; San Diego, CA ; Cambridge, MA
Academic Press
[2024]
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| Schlagworte: | |
| Online-Zugang: | DE-706 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (xviii, 286 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780443159886 |
| DOI: | 10.1016/C2022-0-01466-5 |
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| 520 | 3 | |a 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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| id | DE-604.BV050071323 |
| illustrated | Illustrated |
| indexdate | 2024-12-05T11:07:37Z |
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| spelling | Putting AI in the critical loop assured trust and autonomy in human-machine teams edited by Prithviraj Dasgupta (Distributed Intelligent Systems Section, Naval Research Laboratory, Washington, DC, United States), James Llinas (University at Buffalo, New York, NY, United States), Tony Gillespie (Electronic & Electrical Engineering, University College London, London, United Kingdom), Scott Fouse (Fouse Consulting Services, Scottsdale, AZ, United States), William Lawless (Department of Mathematics, Sciences and Technology, and Department of Social Sciences, School of Arts and Sciences, Paine College, Augusta, GA, United States), Ranjeev Mittu (Information and Decision Sciences Branch, Information Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States), Donald Sofge (Navy Center for Applied Research in Artificial Intelligence, United States Naval Research Laboratory, Washington, DC, United States) London ; San Diego, CA ; Cambridge, MA Academic Press [2024] 1 Online-Ressource (xviii, 286 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier 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 Artificial intelligence COMPUTERS / Artificial Intelligence COMPUTERS / Expert Systems COMPUTERS / Social Aspects / Human-Computer Interaction COMPUTERS / User Interfaces Expert systems / knowledge-based systems Human-computer interaction Künstliche Intelligenz Machine learning Mensch-Computer-Interaktion Robotics Robotik TECHNOLOGY & ENGINEERING / Robotics Wissensbasierte Systeme, Expertensysteme Dasgupta, Prithviraj edt Llinas, James (DE-588)1106356012 edt Gillespie, Tony (DE-588)1138801577 edt Fouse, Scott edt Lawless, William F. 1942- (DE-588)1205326901 edt Mittu, Ranjeev edt Sofge, Donald edt Erscheint auch als Druck-Ausgabe 978-0-443-15988-6 https://doi.org/10.1016/C2022-0-01466-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Putting AI in the critical loop assured trust and autonomy in human-machine teams |
| title | Putting AI in the critical loop assured trust and autonomy in human-machine teams |
| title_auth | Putting AI in the critical loop assured trust and autonomy in human-machine teams |
| title_exact_search | Putting AI in the critical loop assured trust and autonomy in human-machine teams |
| title_full | Putting AI in the critical loop assured trust and autonomy in human-machine teams edited by Prithviraj Dasgupta (Distributed Intelligent Systems Section, Naval Research Laboratory, Washington, DC, United States), James Llinas (University at Buffalo, New York, NY, United States), Tony Gillespie (Electronic & Electrical Engineering, University College London, London, United Kingdom), Scott Fouse (Fouse Consulting Services, Scottsdale, AZ, United States), William Lawless (Department of Mathematics, Sciences and Technology, and Department of Social Sciences, School of Arts and Sciences, Paine College, Augusta, GA, United States), Ranjeev Mittu (Information and Decision Sciences Branch, Information Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States), Donald Sofge (Navy Center for Applied Research in Artificial Intelligence, United States Naval Research Laboratory, Washington, DC, United States) |
| title_fullStr | Putting AI in the critical loop assured trust and autonomy in human-machine teams edited by Prithviraj Dasgupta (Distributed Intelligent Systems Section, Naval Research Laboratory, Washington, DC, United States), James Llinas (University at Buffalo, New York, NY, United States), Tony Gillespie (Electronic & Electrical Engineering, University College London, London, United Kingdom), Scott Fouse (Fouse Consulting Services, Scottsdale, AZ, United States), William Lawless (Department of Mathematics, Sciences and Technology, and Department of Social Sciences, School of Arts and Sciences, Paine College, Augusta, GA, United States), Ranjeev Mittu (Information and Decision Sciences Branch, Information Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States), Donald Sofge (Navy Center for Applied Research in Artificial Intelligence, United States Naval Research Laboratory, Washington, DC, United States) |
| title_full_unstemmed | Putting AI in the critical loop assured trust and autonomy in human-machine teams edited by Prithviraj Dasgupta (Distributed Intelligent Systems Section, Naval Research Laboratory, Washington, DC, United States), James Llinas (University at Buffalo, New York, NY, United States), Tony Gillespie (Electronic & Electrical Engineering, University College London, London, United Kingdom), Scott Fouse (Fouse Consulting Services, Scottsdale, AZ, United States), William Lawless (Department of Mathematics, Sciences and Technology, and Department of Social Sciences, School of Arts and Sciences, Paine College, Augusta, GA, United States), Ranjeev Mittu (Information and Decision Sciences Branch, Information Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States), Donald Sofge (Navy Center for Applied Research in Artificial Intelligence, United States Naval Research Laboratory, Washington, DC, United States) |
| title_short | Putting AI in the critical loop |
| title_sort | putting ai in the critical loop assured trust and autonomy in human machine teams |
| title_sub | assured trust and autonomy in human-machine teams |
| url | https://doi.org/10.1016/C2022-0-01466-5 |
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