In 1967, Marvin Minksy, a founder of the field of artificial intelligence (AI), made a bold prediction: “Within a generation…the problem of creating ‘artificial intelligence’ will be substantially solved.” Assuming that a generation is about 30 years, Minsky was clearly overoptimistic. But now, nearly two generations later, how close are we to the original goal of human-level (or greater) intelligence in machines?
more »
« less
This content will become publicly available on March 1, 2026
Peter H. Kim. How Trust Works: The Science of How Relationships Are Built, Broken, and Repaired
- Award ID(s):
- 1943688
- PAR ID:
- 10597805
- Publisher / Repository:
- Sage
- Date Published:
- Journal Name:
- Administrative Science Quarterly
- Volume:
- 70
- Issue:
- 1
- ISSN:
- 0001-8392
- Page Range / eLocation ID:
- NP19 to NP21
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Ruis, Andrew R.; Lee, Seung B. (Ed.)Coding data—defining concepts and identifying where they occur in data—is a critical aspect of qualitative data analysis, and especially so in quantitative ethnography. Coding is a central process for creating meaning from data, and while much has been written about coding methods and theory, relatively little has been written about what constitutes best practices for fair and valid coding, what justifies those practices, and how to implement them. In this paper, our goal is not to address these issues comprehensively, but to provide guidelines for good coding practice and to highlight some of the issues and key questions that quantitative ethnographers and other researchers should consider when coding data.more » « less
An official website of the United States government
