Human-AI Teaming: State-Of-the-Art and Research Needs.
"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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C. :
National Academies Press,
2022.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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. |
| Beschreibung: | Description based upon print version of record. |
| Beschreibung: | 1 online resource (141 p.) |
| ISBN: | 030927026X 9780309270267 |
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| 505 | 0 | |a Intro -- FrontMatter -- Preface -- Acknowledgment of Reviewers -- Contents -- Summary -- 1 Introduction -- 2 Human-AI Teaming Methods and Models -- 3 Human-AI Teaming Processes and Effectiveness -- 4 Situation Awareness in Human-AI Teams -- 5 AI Transparency and Explainability -- 6 Human-AI Team Interaction -- 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 | |
| 505 | 8 | |a Appendix B: Human-AI Teaming Workshop Agenda -- Appendix C: Definitions | |
| 520 | |a "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. | ||
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| author | National Academies of Sciences, Engineering, and Medicine |
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| contents | Intro -- FrontMatter -- Preface -- Acknowledgment of Reviewers -- Contents -- Summary -- 1 Introduction -- 2 Human-AI Teaming Methods and Models -- 3 Human-AI Teaming Processes and Effectiveness -- 4 Situation Awareness in Human-AI Teams -- 5 AI Transparency and Explainability -- 6 Human-AI Team Interaction -- 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 |
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| discipline | Informatik |
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| indexdate | 2024-11-27T13:30:32Z |
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| spelling | National Academies of Sciences, Engineering, and Medicine. Human-AI Teaming [electronic resource] : State-Of-the-Art and Research Needs. Washington, D.C. : National Academies Press, 2022. 1 online resource (141 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based upon print version of record. Intro -- FrontMatter -- Preface -- Acknowledgment of Reviewers -- Contents -- Summary -- 1 Introduction -- 2 Human-AI Teaming Methods and Models -- 3 Human-AI Teaming Processes and Effectiveness -- 4 Situation Awareness in Human-AI Teams -- 5 AI Transparency and Explainability -- 6 Human-AI Team Interaction -- 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 "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. Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Technology Psychological aspects. Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Intelligence artificielle. Technologie Aspect psychologique. artificial intelligence. aat Artificial intelligence fast Human-computer interaction fast Technology Psychological aspects fast Education, Division of Behavioral and Social Sciences and. Integration, Board on Human-Systems. Laboratory, Committee on Human-System Integration Research Topics for the 711th Human Performance Wing of the Air Force Research. Print version: National Academies of Sciences, Engineering, and Medicine Human-AI Teaming Washington, D.C. : National Academies Press,c2022 9780309270175 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3198608 Volltext |
| spellingShingle | National Academies of Sciences, Engineering, and Medicine Human-AI Teaming State-Of-the-Art and Research Needs. Intro -- FrontMatter -- Preface -- Acknowledgment of Reviewers -- Contents -- Summary -- 1 Introduction -- 2 Human-AI Teaming Methods and Models -- 3 Human-AI Teaming Processes and Effectiveness -- 4 Situation Awareness in Human-AI Teams -- 5 AI Transparency and Explainability -- 6 Human-AI Team Interaction -- 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 Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Technology Psychological aspects. Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Intelligence artificielle. Technologie Aspect psychologique. artificial intelligence. aat Artificial intelligence fast Human-computer interaction fast Technology Psychological aspects fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88003229 http://id.loc.gov/authorities/subjects/sh85008180 https://id.nlm.nih.gov/mesh/D001185 |
| title | Human-AI Teaming State-Of-the-Art and Research Needs. |
| title_auth | Human-AI Teaming State-Of-the-Art and Research Needs. |
| title_exact_search | Human-AI Teaming State-Of-the-Art and Research Needs. |
| title_full | Human-AI Teaming [electronic resource] : State-Of-the-Art and Research Needs. |
| title_fullStr | Human-AI Teaming [electronic resource] : State-Of-the-Art and Research Needs. |
| title_full_unstemmed | Human-AI Teaming [electronic resource] : State-Of-the-Art and Research Needs. |
| title_short | Human-AI Teaming |
| title_sort | human ai teaming state of the art and research needs |
| title_sub | State-Of-the-Art and Research Needs. |
| topic | Human-computer interaction. http://id.loc.gov/authorities/subjects/sh88003229 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Technology Psychological aspects. Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Intelligence artificielle. Technologie Aspect psychologique. artificial intelligence. aat Artificial intelligence fast Human-computer interaction fast Technology Psychological aspects fast |
| topic_facet | Human-computer interaction. Artificial intelligence. Technology Psychological aspects. Artificial Intelligence Intelligence artificielle. Technologie Aspect psychologique. artificial intelligence. Artificial intelligence Human-computer interaction Technology Psychological aspects |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3198608 |
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