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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

4. Human Information Interaction, Artificial Intelligence, and Errors

verfasst von : Stephen Russell, Ira S. Moskowitz, Adrienne Raglin

Erschienen in: Autonomy and Artificial Intelligence: A Threat or Savior?

Verlag: Springer International Publishing

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Abstract

In a time of pervasive and increasingly transparent computing, humans will interact more with information objects, and less with the computing devices that define them. Artificial Intelligence (AI) will be the proxy for humans’ interaction with information. Because interaction creates opportunities for error, the trend towards AI-augmented human information interaction (HII) will mandate an increased emphasis on cognition-oriented information science research, and new ways of thinking about errors and error handling. In this chapter, a review of HII and its relationship to AI is presented, with a focus on errors in this context.

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Vorheriges Kapitel Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network
Nächstes Kapitel Verification Challenges for Autonomous Systems
Fußnoten
1
The Small Message Criterion is a metric used in measurements of channel capacity that indicates a degree of trade-off between lower channel capacity and channel performance.
 
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Metadaten
Titel
Human Information Interaction, Artificial Intelligence, and Errors
verfasst von
Stephen Russell
Ira S. Moskowitz
Adrienne Raglin
Copyright-Jahr
2017
Buch
Autonomy and Artificial Intelligence: A Threat or Savior?

Print ISBN: 978-3-319-59718-8

Electronic ISBN: 978-3-319-59719-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-59719-5_4

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