Digital Discrimination

2019 ◽  
pp. 82-97 ◽  
Author(s):  
Natalia Criado ◽  
Jose M Such

This chapter focuses on a particular normative concern associated with machine decision-making that has attracted considerable attention in policy debate—the problem of bias in algorithmic systems, which gives rise to various forms of ‘digital discrimination’. Digital discrimination entails treating individuals unfairly, unethically, or just differently based on their personal data that is automatically processed by an algorithm. Digital discrimination often reproduces the existing instances of discrimination in the offline world by either inheriting the biases of prior decision-makers, or simply reflecting widespread prejudices in society. The chapter highlights various forms and sources of digital discrimination, pointing to a rich and growing body of technical research seeking to develop technical responses aimed at correcting for, or otherwise removing, these sources of bias.

AJIL Unbound ◽  
2021 ◽  
Vol 115 ◽  
pp. 242-247
Author(s):  
Emilie M. Hafner-Burton

A growing body of research applies behavioral approaches to the study of international law, mainly by studying convenience samples of students or other segments of the general public. Alongside the promises of this agenda are concerns about applying findings from non-elite populations to the people, and groups of people, charged with most real-world decision-making in the domain of law and governance. This concern is compounded by the fact that it is extremely difficult to recruit these actual decision-makers in a way that allows for direct study.


2009 ◽  
Vol 12 (2) ◽  
pp. 111-124
Author(s):  
Chulwon Lee

The future direction of China's approach to energy policy making is, of course, difficult to predict. This is due not only to the opaque and fragmented nature of Chinese energy policy decision-making, but also to the fact that energy policy is a new topic for China's leaders and the individuals they rely on for advice to master that impinges on the interests of actors throughout the Chinese bureaucracy. The wide range of participants in the energy policy debate indicates that more diversified views on it probably reach the top leadership. The impact of the multiplicity of opinions is two-fold. It can result in more informed decision-making, but it can also delay the process as decision makers must assess a larger number of competing and sometimes contradictory views.


2011 ◽  
Vol 11 (2) ◽  
pp. 17 ◽  
Author(s):  
Robert W. Rutledge

The escalation effect occurs when managers elect to commit additional resources to a project where the unfavorable economic prospects indicate the project should be canceled. It has been suggested that the context in which the decision is reached (e.g., a managers responsibility for the original decision to invest in a project) may influence a managers decision choices (Staw 1981). Bazerman (1984) suggests that framing of information used by decision-makers may explain the escalation effect. This study investigates whether responsibility for a prior decision will affect decision-making in interactive groups in an escalation situation. Additionally, this study looks at the effect of framing on the groups decisions and examines the ability of framing to moderate the escalation effect resulting from responsibility. The results suggest that groups are subject to escalating commitment when they are responsible for a prior related investment decision. The results also provide evidence that groups are influenced by the framing of decision-relevant information, and further, that the framing may have the ability to moderate the effects of responsibility. Implications for organizational decision making are provided.


Marketing ZFP ◽  
2019 ◽  
Vol 41 (3) ◽  
pp. 33-47
Author(s):  
Michaela Grösch ◽  
Martina Steul-Fischer

Option framing can be divided into additive and subtractive framing. In additive framing, individuals are asked to add desired options to a base model, i. e., to a core product which does not include any extras, whereas in subtractive framing, individuals are asked to deselect undesired options from a fully loaded model, i. e., a product that does already include all possible extras (Biswas and Grau 2008; Park et al. 2000). In additive framing, individuals must take action if they want to choose the option, e. g., by checking a box in an online configuration. In subtractive framing, individuals find preselected options, and they receive a preselected option unless they actively decide against it, e. g., by unchecking a box in an online configuration (Brown and Krishna 2004; Park et al. 2000). While option framing has received considerable attention with regard to decision making for the self (e. g., Biswas and Grau 2008; Herrmann et al. 2013; Levin et al. 2002; Park et al. 2000; Park and Kim 2012), no researchers have focused on option framing in self-other decision-making contexts. The aim of this paper is to examine the influence of option framing on decision making either for oneself or on behalf of another person. In two studies, we investigate choice behaviour for oneself or on behalf of someone else, namely ones mother, when either one option (Study 1) or more options (Study 2) are presented in additive and subtractive framing. The effect of option framing on decision making for a family member is a relevant question for firms and policy makers since it helps to clarify how an individual’s benefits and expenditures can be influenced by the way a choice is presented when deciding for someone else. In accordance with previous studies (e. g., Biswas and Grau 2008; Levin et al. 2002; Park and Kim 2012), we found the option framing effect when individuals decided on insurances for themselves; i. e., individuals were more likely to choose an option in subtractive framing than in additive framing. When individuals were asked to decide on behalf of their mother, we could not prove an option framing effect when a single option was considered (Study 1). When several options were available (Study 2), the option framing effect emerged; decision makers chose more options for their mother in subtractive framing than in additive framing. We believe that having the opportunity to vary the number of options is the underlying reason. In both studies, individuals deciding on behalf of their mother had a greater tendency to add an option in additive framing than did those deciding for themselves. The greater likelihood of choosing an option in additive framing when deciding for the mother corresponds to our assumption, derived from social values analysis, that decision makers engage in risk-minimizing behaviour as the socially preferred behaviour for proxy decision making. In both studies, no choice differences could be found for subtractive framing. Accepting the insurance option and the number of accepted insurance options remained stable when individuals decided for themselves or for their mother. We assume that for both framing, individuals who decided for their mother acted according to social values and therefore were likely to choose protection for their mother. Moreover, there might be a kind of ceiling effect for insurance decisions because some individuals either may not expect an insurance event to occur for themselves or their mother or may have a general aversion to insurance. Our results add to a growing body of evidence that decision making for others is more dependent on social norms than is decision making for oneself.


1988 ◽  
Vol 7 (5) ◽  
pp. 591-601
Author(s):  
W.P. Darby ◽  
J.K. Gohagan

This article presents a review of some important considerations for scientists and regulatory decision makers who are charged with the task of drawing a conclusion from an existing and growing body of bioassay data to evaluate the toxicity of a compound. Two general approaches are outlined, based on classic statistical methods and on Bayesian statistical methods. Their advantages and disadvantages are discussed in relation to the overall decision-making process. The article concludes by presenting an application of the Bayesian approach to the body of bioassay data available at the time of the regulatory decision concerning the link between saccharin and bladder cancer.


2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.


2019 ◽  
Author(s):  
Suci Handayani Handayani ◽  
Hade Afriansyah

Decision making is one element of economic value, especially in the era of globalization, and if it is not acceptable in the decision making process, we will be left behind. According to Robins, (2003: 173), Salusu, (2000: 47), and Razik and Swanson, (1995: 476) say that decision making can be interpreted as a process of choosing a number of alternatives, how to act in accordance with concepts, or rules in solving problems to achieve individual or group goals that have been formulated using a number of specific techniques, approaches and methods and achieve optimal levels of acceptance.Decision making in organizations whether a decision is made for a person or group, the nature of the decision is often determined by rules, policies, prescribed, instructions that have been derived or practices that apply. To understand decision making within the organization it is useful to view decision making as part of the overall administrative process. In general, individuals tend to use simple strategies, even if in any complex matter, to get the desired solution, because the solution is limited by imperfect information, time and costs, limited thinking and psychological stress experienced by decision makers.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 124
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Florentin Smarandache ◽  
...  

Some decision-making problems, i.e., multi-criteria decision analysis (MCDA) problems, require taking into account the attitudes of a large number of decision-makers and/or respondents. Therefore, an approach to the transformation of crisp ratings, collected from respondents, in grey interval numbers form based on the median of collected scores, i.e., ratings, is considered in this article. In this way, the simplicity of collecting respondents’ attitudes using crisp values, i.e., by applying some form of Likert scale, is combined with the advantages that can be achieved by using grey interval numbers. In this way, a grey extension of MCDA methods is obtained. The application of the proposed approach was considered in the example of evaluating the websites of tourism organizations by using several MCDA methods. Additionally, an analysis of the application of the proposed approach in the case of a large number of respondents, done in Python, is presented. The advantages of the proposed method, as well as its possible limitations, are summarized.


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