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Chapter 16 - Education and Intelligent Discourse

from Part IV - Addressing Concerns

Published online by Cambridge University Press:  29 September 2022

Alfred Z. Spector ,
Peter Norvig ,
Chris Wiggins  and
Jeannette M. Wing
Alfred Z. Spector
Affiliation:
Massachusetts Institute of Technology
Peter Norvig
Affiliation:
Stanford University, California
Chris Wiggins
Affiliation:
Columbia University, New York
Jeannette M. Wing
Affiliation:
Columbia University, New York
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Summary

This chapter discusses the importance of education and rigor in the definition and use of vocabulary surrounding automation and data. More education helps individuals by enhancing their ability to understand data and data science’s growing impact, and to both contribute to and benefit from the field. A more knowledgeable public and a clear vocabulary for discourse is needed to have better communication and debate.

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Data Science in Context
Foundations, Challenges, Opportunities
 , pp. 237 - 243
Publisher: Cambridge University Press
Print publication year: 2022

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