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Organizational decision-making

How does organizational decision-making change with the advent of artificial intelligence (AI)-based decision-making algorithms?

Article Analysis
Using the South University Online Library find two peer-reviewed journal articles interpreting probability, or decision-making. In your synopsis, you will include:

A summary of each of the journal articles
The main points discussed in each of the journal articles and how they relate to the week’s course and text readings
Your thoughts and perspectives regarding the concepts covered in each of the journal articles

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RECORD: 1
Title:

Organizational Decision-Making Structures in the Age of Artificial Intelligence.

Authors:

Shrestha, Yash Raj1 (AUTHOR) yshrestha@ethz.ch
Ben-Menahem, Shiko M.1 (AUTHOR)benmenahem@ethz.ch
von Krogh, Georg1 (AUTHOR) gvkrogh@ethz.ch

Source:

California Management Review. Aug2019, Vol. 61 Issue 4, p66-83. 18p. 2 Charts.

Document Type:

Article

Subject Terms:

*Organizational structure
*Decision making
*Artificial intelligence
*Algorithms
*Delegation of authority
*Crowdsourcing
Machine learning

Author-Supplied Keywords:

algorithms
artificial intelligence
decision making
delegation
organizational structure

Abstract:

How does organizational decision-making change with the advent of artificial intelligence (AI)-based decision-making algorithms? This article identifies the idiosyncrasies of human and AI-based decision making along five key contingency factors: specificity of the decision search space, interpretability of the decision-making process and outcome, size of the alternative set, decision-making speed, and replicability. Based on a comparison of human and AI-based decision making along these dimensions, the article builds a novel framework outlining how both modes of decision making may be combined to optimally benefit the quality of organizational decision making. The framework presents three structural categories in which decisions of organizational members can be combined with AI-based decisions: full human to AI delegation; hybrid—human-to-AI and AI-to-human—sequential decision making; and aggregated human–AI decision making. [ABSTRACT FROM AUTHOR]

Copyright of California Management Review is the property of California Management Review and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder’s express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Author Affiliations:

1ETH Zürich, Zürich, Switzerland

ISSN:

0008-1256

DOI:

10.1177/0008125619862257

Accession Number:

138097009

Persistent link to this record (Permalink):

https://su.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=138097009&site=eds-live

Cut and Paste:

Organizational” class=”redactor-linkify-object”>https://su.idm.oclc.org/login?url=https://search.e… Decision-Making Structures in the Age of Artificial Intelligence.

Database:

Business Source Complete

RECORD: 1
Title:

Introducing the PLOS ONE Collection on the neuroscience of reward and decision making.

Authors:

Groman, Stephanie M.1 (AUTHOR) stephanie.groman@yale.edu
Ikemoto, Satoshi2 (AUTHOR)
Rushworth, Matthew3 (AUTHOR)
Taylor, Jane R.1 (AUTHOR)
Whelan, Robert4 (AUTHOR)

Source:

PLoS ONE. 10/8/2020, Vol. 15 Issue 10, p1-10. 10p.

Document Type:

Article

Subject Terms:

*DECISION making
*FORECASTING
*BEHAVIORAL neuroscience
*COLLECTIONS
*NEUROSCIENCES

Abstract:

The survival of an organism depends on the ability to make adaptive decisions to achieve the needs of the organism: where to get food, who to mate with, and how to evade predators. Decision-making is a term used to describe a collection of behavioral and/or computational functions that guide the selection of an option amongst a set of alternatives. Some of these functions may include calculating the costs and benefits of a particular action, evaluating differences in value of each of the alternative outcomes and the likelihood of receiving a particular outcome, using past experiences to generate predictions or expectations about action-outcome associations, and/or integration of past experiences to make novel inferences that can be used in new environments. There is considerable interest in understanding the neurobiological mechanisms that mediate these decision-making functions and recent advances in behavioral approaches, neuroscience techniques, and neuroimaging measures have begun to develop mechanistic links between biology, reward, and decision making. This multidisciplinary work holds great promise for elucidating the biological mechanisms mediating decision-making deficits in normal and abnormal states. The multidisciplinary studies included in this Collection provide new insights into the neuroscience of decision making and reward. [ABSTRACT FROM AUTHOR]

Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder’s express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Author Affiliations:

1Department of Psychiatry, Yale University, New Haven, CT, United States of America
2National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States of America
3Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
4School of Psychology, Trinity College Dublin, Dublin, Ireland

ISSN:

1932-6203

DOI:

10.1371/journal.pone.0240505

Accession Number:

146348026

Persistent link to this record (Permalink):

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Introducing” class=”redactor-linkify-object”>https://su.idm.oclc.org/login?url=https://search.e… the PLOS ONE Collection on the neuroscience of reward and decision making.

Database:

Academic Search Complete

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