Algorithmic decision-making? The user interface and its role for human involvement in decisions supported by artificial intelligence

Organization ◽  
2019 ◽  
Vol 26 (5) ◽  
pp. 655-672 ◽  
Author(s):  
Verena Bader ◽  
Stephan Kaiser
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
User Interface ◽  
User Involvement ◽  
Traditional View ◽  
Telecommunications Company

Artificial intelligence can provide organizations with prescriptive options for decision-making. Based on the notions of algorithmic decision-making and user involvement, we assess the role of artificial intelligence in workplace decisions. Using a case study on the implementation and use of cognitive software in a telecommunications company, we address how actors can become distanced from or remain involved in decision-making. Our results show that humans are increasingly detached from decision-making spatially as well as temporally and in terms of rational distancing and cognitive displacement. At the same time, they remain attached to decision-making because of accidental and infrastructural proximity, imposed engagement, and affective adhesion. When human and algorithmic intelligence become unbalanced in regard to humans’ attachment to decision-making, three performative effects result: deferred decisions, workarounds, and (data) manipulations. We conceptualize the user interface that presents decisions to humans as a mediator between human detachment and attachment and, thus, between algorithmic and humans’ decisions. These findings contrast the traditional view of automated media as diminishing user involvement and have useful implications for research on artificial intelligence and algorithmic decision-making in organizations.

scholarly journals Accessing the public workforce: Organisational recruitment practices and the inclusion or exclusion of individuals of immigrant origin

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Christine Lang
Keyword(s):  
Decision Making ◽  
Qualitative Case Study ◽  
Ethnic Discrimination ◽  
German State ◽  
The Public ◽  
Ethnic Stereotypes ◽  
Recruitment Practices ◽  
Public Workforce

AbstractOrganisations are important gatekeepers in the labour market inclusion of immigrants and their children. Research has regularly documented ethnic discrimination in hiring decisions. Aiming to further our understanding of the role of organisations in influencing the professional trajectories of individuals of immigrant origin, this paper investigates the recruitment practices of public administrations. Drawing on approaches from organisational sociology and a qualitative case study of public administrations in the German state of Berlin, the article identifies three crucial elements of organisational decision-making affecting the recruitment of staff of immigrant origin: decisions regarding advertisement strategies, formal criteria, and individual candidates. Further, the article shows the underlying decision-making rationalities and the role of organisational contexts and ethnic stereotypes for recruitment-related decisions.

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence

2021 ◽  
Author(s):  
Ekaterina Jussupow ◽  
Kai Spohrer ◽  
Armin Heinzl ◽  
Joshua Gawlitza
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Medical Errors ◽  
Decision Makers ◽  
Medical Decision ◽  
Decision Making Process ◽  
Self Monitoring ◽  
Rule Based ◽  
Human Actors

Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic decisions, but they are not without errors and biases. Failure to detect those may result in wrong diagnoses and medical errors. Compared with rule-based systems, however, these systems are less transparent and their errors less predictable. Thus, it is difficult, yet critical, for physicians to carefully evaluate AI advice. This study uncovers the cognitive challenges that medical decision makers face when they receive potentially incorrect advice from AI-based diagnosis systems and must decide whether to follow or reject it. In experiments with 68 novice and 12 experienced physicians, novice physicians with and without clinical experience as well as experienced radiologists made more inaccurate diagnosis decisions when provided with incorrect AI advice than without advice at all. We elicit five decision-making patterns and show that wrong diagnostic decisions often result from shortcomings in utilizing metacognitions related to decision makers’ own reasoning (self-monitoring) and metacognitions related to the AI-based system (system monitoring). As a result, physicians fall for decisions based on beliefs rather than actual data or engage in unsuitably superficial evaluation of the AI advice. Our study has implications for the training of physicians and spotlights the crucial role of human actors in compensating for AI errors.

‘Stepping on the heads of our Gods'

2015 ◽  
Vol 6 (2) ◽  
pp. 40-56
Author(s):  
Yangji Doma Sherpa ◽  
A. John Sinclair ◽  
Thomas Henley
Keyword(s):  
Decision Making ◽  
Rapid Development ◽  
High Mountain ◽  
Court Cases ◽  
The Public ◽  
Mountain Environments ◽  
Hydroelectric Dam ◽  
Decision Making Processes

The Himalayan region of India is experiencing rapid development in tourism, agriculture, highway construction and hydroelectric dam construction. This research considered the role of the public both within and outside of development decision-making processes in these high mountain environments using the proposed Himalayan Ski Village (HSV) in Manali as a case study. The qualitative data revealed that there has been an extensive array of public participation activity related to the HSV project over approximately 10 years. Very little of this activity has evolved, however, through the formal decision-making process. Rather, most participation activities, such as general house meetings, objection letters, public rallies, court cases against the proposed project, and a religious congregation were instigated by the public to protest the proposed development. The findings also show that involvement in the participatory activities undertaken by the public and project proponent fostered instrumental and communicative learning outcomes.

scholarly journals The Role of Structural Context in Making Business Sense of Investments for Sustainability–A Case Study

2020 ◽  
Vol 12 (17) ◽  
pp. 7006
Author(s):  
Josefine Rasmussen
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Investment Decision ◽  
Sustainable Manufacturing ◽  
Manufacturing Companies ◽  
Improve Energy Efficiency ◽  
Structural Context ◽  
Investment Decision Making

Energy efficiency is an important means for sustainable manufacturing. One action for manufacturing companies to improve energy efficiency is through investments. While these investments often are profitable, opportunities remain unexploited. This paper explores the structural context of the investment decision-making process by examining the associated activities, procedures, and the role of information. While the structural context may limit complex investments that do not fit predefined rules and controls, such as energy efficiency and other sustainability-related investments, it remains a scarcely studied aspect of investment decision-making for energy efficiency investments. Method-wise, the paper is based on a case study of a major investment at a pulp and paper company, motivated and justified based on productivity, strategic, energy, and sustainability rationales. The paper contributes with illustrating how configurations of internal investment activities and procedures may be crucial for sustainability-related investments to pass through the investment process. Moreover, the configuration of activities and procedures is also indicated as influential for the way in which an investment is executed. Hence, for energy efficiency and other sustainability-related investments to make business sense constitutes more than achieving desirable payback periods; the structural context should be considered.

A case study of facilities management for heritage building revitalisation

Facilities ◽  
2019 ◽  
Vol 38 (3/4) ◽  
pp. 201-217
Author(s):  
Huiying Hou ◽  
Hao Wu
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Heritage Conservation ◽  
Facilities Management ◽  
Content Type ◽  
Study Approach ◽  
Facilities Design ◽  
Heritage Building

Purpose Heritage building revitalisation (HBR) is gaining its popularity to intervene historic buildings/sites for their conservation and reuse. Given that multiple stake-holding situations are often involved in HBR process, coordination or managerial problem may hinder versatile facilities design for operational efficiency while preserving the heritage values. To address the coordination challenge, this paper aims to examine the relevance and relative advantages of a FM-led revitalisation strategy for HBR, which the existing literature has not yet addressed. Design/methodology/approach This paper adopts a case study approach to a major HBR project in Hong Kong. This study conducted field observations and interviews, which were combined with publicly accessible policy and project information to identify stakeholders’ opinions and specifications for the role of facilities management (FM) in HBR project process. Findings The paper reveals the role of FM in coordinating the HBR process for the benefits of stakeholders and general community. FM allows a balanced approach to heritage building adaptation, sound user experience and broader community effects. This enables efficient decision-making, creative facilities design and effective public engagement. FM’s strength of fitting in the urban renewal context illustrates its comparative advantage for heritage conservation and revitalisation management. Research limitations/implications This study develops a conceptual map to identify FM’s role in heritage building conservation and revitalisation. This will enhance process evaluation and project decision-making that are central to heritage conservation policy and HBR intervention practices. Originality/value This study examines relevance and advantage of FM-led business strategy for HBR, which the existing literature has not yet addressed. It discovers FM’s strategic roles and initiates a conceptual framework for evaluation of heritage conservation management.

Sign in / Sign up

Export Citation Format

Share Document