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dc.contributor.advisorLeigh Hafrey.en_US
dc.contributor.authorPacker, Jonathan,M.B.A.Sloan School of Management.en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2019-10-04T21:32:24Z
dc.date.available2019-10-04T21:32:24Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122399
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 77-83).en_US
dc.description.abstractThe capitalist economic landscape constantly reinvents itself to capture new value opportunities, in an endless innovative process of what Joseph Schumpeter called "creative destruction"'. Its next major event, hastened by the development of Artificial Intelligence (AI) and the emergence of highly accurate predictive behavioral data, is likely to assert itself in the labor economy. Labor costs often constitute the majority of a firm's operating expenses; indeed, the average wage share in highly developed nations currently hovers around 60% of GDP 2. Labor-automating technology is, for this reason, both anticipated and feared - the productivity enhancements of its adoption are likely to re-allocate trillions of dollars of revenue globally. Nevertheless, even in labor markets most susceptible to automation, Al is unlikely to completely replace any roles.en_US
dc.description.abstractInstead, its application will happen selectively in a process of human-machine teaming: fragmenting a single workflow into automation-feasible functions executed by machine intelligence, and a remainder of technically infeasible functions performed by a human worker. This technology also promises to radically transform organizations, replacing limited, reactive, human managerial insights with behavioral analytics that anticipate and directly modify worker experience. This paper will explore the ethical and democratic tensions between disenfranchising automation, invasive behavioral analytics, and economic growth. It will survey the evolution of contemporary labor from early narratives, to the vanquished, neoclassical notion of rational homo economicus, the development of modern organization theory, and the organizational psychology of workflow automation.en_US
dc.description.abstractUltimately, it will consider the ethics of this transformation, its ramifications on corporate responsibility, and its threat to the worker and citizen's ever-shrinking creative franchise. The paper hypothesizes that the fragmentation of labor's creative discretion constitutes the total technological disenfranchisement of the worker, and its organizational automation ruptures the normal, reactive function of private, social, and democratic institutions. Through the lens of libertarian paternalism, or "choice architecture," it proposes a Third Way to correctively adapt to automation's inevitability. Drawing from this proposal and its survey of related theory, the paper suggests that former institutionalized labor norms have permanently deteriorated, and attempts to synthesize their replacement.en_US
dc.description.statementofresponsibilityby Jonathan Packer.en_US
dc.format.extent83 pages ;en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.titleThe ethics of labor automation : AI, technological disenfranchisement, and libertarian paternalismen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.identifier.oclc1119721906en_US
dc.description.collectionM.B.A. Massachusetts Institute of Technology, Sloan School of Managementen_US
dspace.imported2019-10-04T21:32:23Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US


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