Human-AI Teaming
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"Although artificial intelligence (AI) has many potential benefits, it has also been shown to suffer from a number of challenges for successful performance in complex real-world environments such as military operations, including brittleness, perceptual limitations, hidden biases, and lack of a model of causation important for understanding and predicting future events. These limitations mean that AI will remain inadequate for operating on its own in many complex and novel situations for the foreseeable future, and that AI will need to be carefully managed by humans to achieve their desired utility. Human-AI Teaming: State-of-the-Art and Research Needs examines the factors that are relevant to the design and implementation of AI systems with respect to human operations. This report provides an overview of the state of research on human-AI teaming to determine gaps and future research priorities and explores critical human-systems integration issues for achieving optimal performance." -- Provided by publisher
Title |
Human-AI Teaming : State-Of-the-Art and Research Needs. |
---|---|
Edition |
1st ed. |
Publisher |
Washington, D.C. : National Academies Press |
Creation Date |
2022 |
Content |
Front Matter -- Summary -- 1. Introduction -- 2. Human-AI Teaming Methods and Models -- 3. Human-AI Teaming Process and Effectiveness -- 4. Situation Awareness in Human-AI Teams -- 5. AI Transparency and Explainability -- 6. Human-AI Team Interactions -- 7. Trusting AI Teammates -- 8. Identification and Mitigation of Bias in Human-AI Teams -- 9. Training Human-AI Teams -- 10. HSI Processes and Measures of Human-AI Team Collaboration and Performance -- 11. Conclusions -- References -- Appendixes. Appendix A: Committee Biographies -- Appendix B: Human-AI Teaming Workshop Agenda -- Appendix C: Definitions. |
Extent |
1 online resource (141 pages) |
Language |
English |
Copyright Date |
©2022. |
National Library system number |
997012410335705171 |
MARC RECORDS
Tags
- Human-computer interaction.
- Artificial intelligence.
- Technology Psychological aspects.
- Artificial Intelligence
- Intelligence artificielle.
- Technologie Aspect psychologique.
- artificial intelligence.
- Computer-human interaction
- Human factors in computing systems
- Interaction, Human-computer
- AI (Artificial intelligence)
- Artificial thinking
- Electronic brains
- Intellectronics
- Intelligence, Artificial
- Intelligent machines
- Machine intelligence
- Thinking, Artificial
- nnna Computational Intelligence
- AI (Artificial Intelligence)
- Computer Reasoning
- Computer Vision Systems
- Knowledge Acquisition (Computer)
- Knowledge Representation (Computer)
- Machine Intelligence
- nnna Acquisition, Knowledge (Computer)
- nnna Computer Vision System
- nnna Intelligence, Artificial
- nnna Intelligence, Computational
- nnna Intelligence, Machine
- nnna Knowledge Representations (Computer)
- nnna Reasoning, Computer
- nnna Representation, Knowledge (Computer)
- nnna System, Computer Vision
- nnna Systems, Computer Vision
- nnna Vision System, Computer
- nnna Vision Systems, Computer
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