Skip to main content

Human-Centered AI: A New Synthesis

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12932)

Abstract

Researchers, developers, business leaders, policy makers and others are expanding the technology-centered scope of Artificial Intelligence (AI) to include Human-Centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective, can shape the future of technology so as to better serve human needs. Educators, designers, software engineers, product managers, evaluators, and government agency staffers can build on AI-driven technologies to design products and services that make life better for the users. These human-centered products and services will enable people to better care for each other, build sustainable communities, and restore the environment.

Keywords

  • Human-computer interaction
  • Artificial Intelligence
  • Design
  • Visualization
  • Control panels
  • User interfaces

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-85623-6_1
  • Chapter length: 6 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-85623-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   169.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

References

  1. Shneiderman, B.: Opinion: the dangers of faulty, biased, or malicious algorithms requires independent oversight. Proc. Nat. Acad. Sci. 113(48), 13538–13540 (2016). http://www.pnas.org/content/113/48/13538.full

  2. Shneiderman, B.: Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Trans. Interact. Intell. Syst. 10(4), 31 (2020). https://doi.org/10.1145/3419764. Article 26

  3. Shneiderman, B.: Human-centered artificial intelligence: reliable, safe, & trustworthy. Int. J. Hum.-Comput. Interact. 36(6), 495–504 (2020). https://doi.org/10.1080/10447318.2020.1741118

  4. Shneiderman, B.: Design lessons from AI’s two grand goals: human emulation and useful applications. IEEE Trans. Technol. Soc. 1, 2 (2020). https://ieeexplore.ieee.org/document/9088114

  5. Shneiderman, B.: Human-Centered AI. Oxford University Press (2022, forthcoming)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ben Shneiderman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Shneiderman, B. (2021). Human-Centered AI: A New Synthesis. In: , et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12932. Springer, Cham. https://doi.org/10.1007/978-3-030-85623-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85623-6_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85622-9

  • Online ISBN: 978-3-030-85623-6

  • eBook Packages: Computer ScienceComputer Science (R0)