Education, automation and AI: a genealogy of alternative futures
Образование, автоматизация и искусственный интеллект: генеалогия альтернативных будущих
2021-09-09
SCID: 54.1/3uh2cwpp
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automation and AIcomputer policiescomputerization debateseducation governancegenealogical approach
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Abstract (AI)
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the progressive creation of desirable futures. Jumping back to the 1950s, this article illustrates how automation and AI have been anticipated as both problems and solutions in society, and how education has been used to solve these problems or realize these solutions. That is, computerization debates have concentrated on both the growing opportunities and the increasing risks, but almost always also on the need for corresponding education. The article uses a genealogical approach to show how, from the 1950s and up until today, education has been mobilized as an important tool for governance in computer policies.
Key Findings
1
A genealogical analysis shows that education has been mobilized as a governance tool in computer policies from the 1950s to the present.
2
Computerization debates have consistently linked technological opportunities and risks to demands for corresponding educational responses.
3
Education and technological development are mutually dependent: education prepares anticipated future competencies while supplying skills that enable innovation.
4
Educational policy has been used both to address harms associated with automation and AI and to realize their anticipated benefits.
5
Since the 1950s, automation and AI have been framed simultaneously as societal problems and potential solutions.
Research Object
the relationship between education and automation and AI in computer policies from the 1950s to the present
Research Subject
the changing governance roles of education in addressing the anticipated opportunities and risks of automation and AI
Publication Details
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2021-09-09
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