Robot-proof : higher education in the age of artificial intelligence / Joseph E. Aoun.

Format:

Book

Author/Creator:

Aoun, Joseph, author.

Series:

The MIT Press Series

Language:

English

Subjects (All):

Education, Higher--Aims and objectives.

Education, Higher.

Employability.

College graduates--Employment.

College graduates.

Artificial intelligence--Social aspects.

Artificial intelligence.

Labor supply--Effect of technological innovations on.

Labor supply.

Physical Description:

1 online resource

Edition:

Revised and updated edition.

Place of Publication:

Cambridge, Massachusetts : The MIT Press, [2024]

Summary:

"A thoroughly updated and revised edition of a university president's recommendations for providing the next generation of college students with the critical skills needed to work with, and alongside, AI"-- Provided by publisher.

"A fresh look at a "robot-proof" education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university's mission for a world transformed by AI, advocating for the lifelong endeavor of a "robot-proof" education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change--an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human." -- Publisher's description

Contents:

Introduction

Fears of an AI future

Working intelligence

A learning model for today

The experiential difference

Learning for life

Afterword.

Notes:

Description based on publisher supplied metadata and other sources.

OCLC-licensed vendor bibliographic record.

Description based on print version record.

ISBN:

9780262380935

0262380935

9780262380928

0262380927

OCLC:

1416598471