ＡＩと人間・機械相互の信頼と自律 Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams

ＡＩと人間・機械相互の信頼と自律<br>Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams

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ＡＩと人間・機械相互の信頼と自律
Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams

Dasgupta, Prithviraj (EDT)/ Llinas, James (EDT)/ Gillespie, Tony (EDT)

ウェブストア価格 ¥41,676（本体¥37,888）
Academic Press Inc（2024/02発売）
外貨定価 US$ 200.00
ポイント 378pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 304 p.
言語 ENG
商品コード 9780443159886
DDC分類 006.3

Full Description

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.

1. Introduction
2. Alternative paths to developing engineering solutions for human-machine teams
3. Risk determination versus risk perception: From hate speech, an erroneous drone attack, and military nuclear wastes to human machine autonomy
4. Appropriate Context-Dependent Artificial Trust in Human-Machine Teamwork
5. Toward a Causal Modeling Approach for Trust-Based Interventions in Human-Autonomy Teams
6. Risk Management in Human-in-the-Loop AI-Assisted Attention Aware Systems
7. Enabling Trustworthiness in Human-swarm Systems Through a Digital Twin
8. Building Trust with the Ethical Affordances of Education Technologies: A Sociotechnical Systems Perspective
9. Perceiving a Humorous Robot as a Social Partner
10. Real-Time AI: Using AI on the Tactical Edge
11. Building a Trustworthy AI Digital Twin: A Brave New World of Human Machine Teams & Autonomous Biological Internet of Things (BIoT)
12. A framework of Human Factors methods for safe, ethical, and usable Artificial Intelligence in Defence
13. A schema for harms-sensitive reasoning, and an approach to populate its ontology by human annotation