scholarly journals On the current state of combining human and artificial intelligence for strategic organizational decision making

2020 ◽  
Vol 13 (3) ◽  
pp. 875-919
Author(s):  
Anna Trunk ◽  
Hendrik Birkel ◽  
Evi Hartmann
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Organizational Structures ◽  
Decision Making Under Uncertainty ◽  
Organizational Decision Making ◽  
Ethical Frameworks ◽  
Technological Potential ◽  
Human Responsibility ◽  
Definition Of ◽  
Diverse Groups

AbstractStrategic organizational decision making in today’s complex world is a dynamic process characterized by uncertainty. Therefore, diverse groups of responsible employees deal with the large amount and variety of information, which must be acquired and interpreted correctly to deduce adequate alternatives. The technological potential of artificial intelligence (AI) is expected to offer further support, although research in this regard is still developing. However, as the technology is designed to have capabilities beyond those of traditional machines, the effects on the division of tasks and the definition of roles established in the current human–machine relationship are discussed with increasing awareness. Based on a systematic literature review, combined with content analysis, this article provides an overview of the possibilities that current research identifies for integrating AI into organizational decision making under uncertainty. The findings are summarized in a conceptual model that first explains how humans can use AI for decision making under uncertainty and then identifies the challenges, pre-conditions, and consequences that must be considered. While research on organizational structures, the choice of AI application, and the possibilities of knowledge management is extensive, a clear recommendation for ethical frameworks, despite being defined as a crucial foundation, is missing. In addition, AI, other than traditional machines, can amplify problems inherent in the decision-making process rather than help to reduce them. As a result, the human responsibility increases, while the capabilities needed to use the technology differ from other machines, thus making education necessary. These findings make the study valuable for both researchers and practitioners.

An artificial-intelligence-based method for assessing service quality: insights from the prosthodontics sector

2020 ◽  
Vol 31 (2) ◽  
pp. 291-312 ◽  
Author(s):  
Sara M. Martins ◽  
Fernando A.F. Ferreira ◽  
João J. M. Ferreira ◽  
Carla S.E. Marques
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Service Quality ◽  
Cognitive Mapping ◽  
Evaluation Model ◽  
Vice President ◽  
Dental Prosthesis ◽  
Content Type ◽  
Technological Advances ◽  
Definition Of

PurposeThe prosthodontics sector is facing major challenges because of scientific and technological advances that imply a clearer definition of lines of action and decision making processes. Measuring quality of service in this sector is a complex decision problem since the perceptions of three main players need to be considered: patients, dentists and dental technicians. This study sought to develop an artificial-intelligence-based (AI-based) method for assessing service quality in the dental prosthesis sector.Design/methodology/approachUsing strategic options development and analysis (SODA), which is grounded on cognitive mapping, and the measuring attractiveness by a categorical based evaluation technique (MACBETH), a constructivist decision support system was designed to facilitate the assessment of service quality in the dental prosthesis sector. The system was tested, and the results were validated both by the members of an expert panel and by the vice-president of the Portuguese association of dental prosthesis technicians.FindingsThe methodological process developed in this study is extremely versatile and its practical application facilitated the development of an empirically robust evaluation model in this study context. Specifically, the profile analyses carried out in actual clinics allowed the cases in which improvements are needed to be identified.Originality/valueAlthough already applied in the fields of AI and decision making, no prior work reporting the use of SODA and MACBETH for assessing service quality in the prosthodontics sector has been found.

DECISION TYPE—A KEY TO REALISING THE POTENTIAL OF DECISION MAKING UNDER UNCERTAINTY

2007 ◽  
Vol 47 (1) ◽  
pp. 309 ◽  
Author(s):  
S.I. Mackie ◽  
S.H. Begg ◽  
C. Smith ◽  
M.B. Welsh
Keyword(s):  
Decision Making ◽  
Real World ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Decision Making Under Uncertainty ◽  
Gas Industry ◽  
The Past ◽  
Decision Outcomes ◽  
Decision Type ◽  
Definition Of

Business underperformance in the upstream oil and gas industry, and the failure of many decisions to return expected results, has led to a growing interest over the past few years in understanding the impacts of decisionmaking tools and processes and their relationship to decision outcomes. A primary observation is that different decision types require different decision-making approaches to achieve optimal outcomes.Optimal decision making relies on understanding the types of decisions being made and tailoring the type of decision with the appropriate tools and processes. Yet the industry lacks both a definition of decision types and any guidelines as to what tools and processes should be used for what decisions types. We argue that maximising the chances of a good outcome in real-world decisions requires the implementation of such tailoring.

Artificial Intelligence in International Arbitration

2020 ◽  
pp. 590-616
Author(s):  
Myriam Gicquello
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Rule Of Law ◽  
Human Beings ◽  
International Arbitration ◽  
Naturalistic Decision Making ◽  
The Rule Of Law ◽  
Behavioural Analysis ◽  
International Adjudication ◽  
Definition Of

This chapter assesses the introduction of artificial intelligence in international arbitration. The contention is that it would not only reinstate confidence in the arbitral system—from the perspective of the parties and the general public—and participate in the development of the rule of law, but also engage with broader systemic considerations in enhancing its legitimacy, fairness, and efficiency. Yet, before addressing the why, what, and how of this proposition, a definition of artificial intelligence is warranted. It should be noted at the outset that this concept has a variety of meanings. Despite the lack of consensus on its meaning, the chapter will thus treat artificial intelligence as encompassing both semi-autonomous and autonomous computer systems dedicated to assisting or replacing human beings in decision-making tasks. It presents the conclusions of two extensive research programs respectively dealing with the performance of statistical models and naturalistic decision-making. From that behavioural analysis, the introduction of artificial intelligence in international arbitration be discussed against the general considerations of international adjudication and the specific goals pertaining to international arbitration.

scholarly journals Discrimination in the age of artificial intelligence

AI & Society ◽  
2021 ◽  
Author(s):  
Bert Heinrichs
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Recent Literature ◽  
Moral Deliberation ◽  
Philosophical Debate ◽  
Epistemic Opacity ◽  
Definition Of ◽  
Automated Decision Making ◽  
Common Understanding

AbstractIn this paper, I examine whether the use of artificial intelligence (AI) and automated decision-making (ADM) aggravates issues of discrimination as has been argued by several authors. For this purpose, I first take up the lively philosophical debate on discrimination and present my own definition of the concept. Equipped with this account, I subsequently review some of the recent literature on the use AI/ADM and discrimination. I explain how my account of discrimination helps to understand that the general claim in view of the aggravation of discrimination is unwarranted. Finally, I argue that the use of AI/ADM can, in fact, increase issues of discrimination, but in a different way than most critics assume: it is due to its epistemic opacity that AI/ADM threatens to undermine our moral deliberation which is essential for reaching a common understanding of what should count as discrimination. As a consequence, it turns out that algorithms may actually help to detect hidden forms of discrimination.

scholarly journals The Individual and the Organizational Model of Quantum Decision-Making and Learning (MQDM&L): An Introduction and the application of the Quadruple Loop Learning

2021 ◽  
Author(s):  
Meir Russ
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Time Horizon ◽  
Learning Processes ◽  
Sense Making ◽  
Organizational Decision Making ◽  
Proposed Model ◽  
Diamond Model ◽  
Introductory Paper ◽  
The Individual

The new Post Accelerating Data and Knowledge Online Society, or ‘Padkos’ requires a new model of decision making. This introductory paper proposes a model where decision making and learning are a single symbiotic process, incorporating man and machine, as well as the AADD (ánthrōpos, apparatus, decider, doctrina) diamond model of individual and organizational decision-making and learning processes. The learning is incorporated by using a newly proposed quadruple loop learning model. This model allows for controlled changes of identity, the process of creating and the sense making of new mental models and assumption, and reflections. The model also incorporates the recently proposed model of quantum decision-making, where time collapse of the opted past and the anticipated future (explicitly including its time horizon) into the present play a key role in the process, leveraging decision-making and learning by human as well as Artificial Intelligence (AI) and Machine Learning (ML) algorithms. The paper closes with conclusions.

scholarly journals Concealing paradoxes in decision-making during hospital hybridization – a systems theoretical analysis

2021 ◽  
Vol 35 (2) ◽  
pp. 195-211
Author(s):  
Kaisu Jansson ◽  
Juha Tuunainen ◽  
Tuija Mainela
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Social Systems ◽  
Organizational Structures ◽  
University Hospital ◽  
Organizational Level ◽  
Organizational Decision Making ◽  
Content Type ◽  
New Business ◽  
Economic Expectations

PurposeWhile previous health-care-related hybridity research has focused on macro- and micro-level investigations, this paper aims to study hybridization at the organizational level, with a specific focus on decision-making. The authors investigate how new politico-economic expectations toward a university hospital as a hybrid organization become internalized via organizational decision-making, resulting in the establishment of a new business collaboration and innovation-oriented unit.Design/methodology/approachThe authors employed a social systems theoretical framework to explore organizational decision-making processes involved in the establishment of the new hybrid hospital unit. Drawing on 15 interviews and nine organizational documents, the authors describe and analyze three decision-making cycles using the concepts of complexity, decision and justification.FindingsThe findings reveal the challenging nature of decision-making during hybridization, as decisions regarding unprecedented organizational structures and activities cannot be justified by traditional decision premises. The authors show that decision-makers use a combination of novel justification strategies, namely, justification by problems, by examples and by obligations, to legitimize decisions oriented at non-traditional activities. Further, the analysis reveals how expectations of several societal systems, i.e. health care, education, science, law, economy and politics, are considered in decision-making taking place in hybrid organizations.Originality/valueThe study draws attention to the complexity of decision-making in a hybrid context and highlights the role of justification strategies in partially reducing complexity by concealing the paradoxical nature of decision-making and ensuring the credibility of resulting decisions. Also, the study presents a move beyond the dualism inherent in many previous hybridity studies by illustrating the involvement of several societal systems in hybridization.

Prejudice from an Epistemological Point of View

Prejudice ◽  
2021 ◽  
pp. 7-25
Author(s):  
Endre Begby
Keyword(s):  
Decision Making ◽  
Social Epistemology ◽  
Point Of View ◽  
Total Evidence ◽  
Decision Making Under Uncertainty ◽  
Working Definition ◽  
Definition Of ◽  
Applied Epistemology ◽  
Epistemological Point

The book’s opening chapter begins by providing a working definition of prejudice in terms of negatively charged stereotypes targeting some group of people, and derivatively, the individuals who comprise this group. It then turns to situating this approach in the larger landscape of contemporary epistemological theory. The study of prejudiced belief falls within the ambit of social epistemology. It should also, it is argued, be considered as a form of situated, applied epistemology. As such, it is recognizably a contribution to “non-ideal epistemology” (a notion to be further elaborated in chapter 3): non-ideal epistemology aims to provide normative guidelines for decision-making under uncertainty. Currently popular “externalist” approaches to epistemology are of no help here. But at the same time, non-ideal epistemology is also not “internalist,” since it routinely holds what we are responsible to a broader subset of the total evidence than is currently in our possession.

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