Many popular artificial intelligence (AI) ethics frameworks center the principle of autonomy as necessary in order to mitigate the harms that might result from the use of AI within society. These harms often disproportionately affect the most marginalized within society. In this paper, we argue that the principle of autonomy, as currently formalized in AI ethics, is itself flawed, as it expresses only a mainstream mainly liberal notion of autonomy as rational self-determination, derived from Western traditional philosophy. In particular, we (...) claim that the adherence to such principle, as currently formalized, does not only fail to address many ways in which people’s autonomy can be violated, but also to grasp a broader range of AI-empowered harms profoundly tied to the legacy of colonization, and which particularly affect the already marginalized and most vulnerable on a global scale. To counter such a phenomenon, we advocate for the need of a relational turn in AI ethics, starting from a relational rethinking of the AI ethics principle of autonomy that we propose by drawing on theories on relational autonomy developed both in moral philosophy and Ubuntu ethics. (shrink)

This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are altering the roles (...) of human test administrators and human subjects, adding machine learning-based AI agents to the situation and establishing invasive data collection processes as well as introducing certain biases in results. I project that the potentials for pervasive and continuous lie detection initiatives (“truth machines”) are substantial, displacing human-centered efforts to establish trust and foster integrity in organizations. I argue that if it is possible for HR managers to do so, they should cease using technologically-based lie detection systems entirely and work to foster trust and accountability on a human scale. However, if these AI-enhanced technologies are put into place by organizations by law, agency mandate, or other compulsory measures, care should be taken that the impacts of the technologies on human rights and wellbeing are considered. The article explores how AI can displace the human agent in some aspects of lie detection and credibility assessment scenarios, expanding the prospects for inscrutable, “black box” processes and novel physiological constructs (such as “biomarkers of deceit”) that may increase the potential for such human rights concerns as fairness, mental privacy, and bias. Employee interactions with autonomous lie detection systems rather with than human beings who administer specific tests can reframe organizational processes and rules concerning the assessment of personal honesty and integrity. The dystopian projection of organizational life in which analyses and judgments of the honesty of one’s utterances are made automatically and in conjunction with one’s personal profile provides unsettling prospects for the autonomy of self-representation. (shrink)

Fairness is one of the most prominent values in the Ethics and Artificial Intelligence (AI) debate and, specifically, in the discussion on algorithmic decision-making (ADM). However, while the need for fairness in ADM is widely acknowledged, the very concept of fairness has not been sufficiently explored so far. Our paper aims to fill this gap and claims that an ethically informed re-definition of fairness is needed to adequately investigate fairness in ADM. To achieve our goal, after an introductory section aimed (...) at clarifying the aim and structure of the paper, in section “Fairness in algorithmic decision-making” we provide an overview of the state of the art of the discussion on fairness in ADM and show its shortcomings; in section “Fairness as an ethical value”, we pursue an ethical inquiry into the concept of fairness, drawing insights from accounts of fairness developed in moral philosophy, and define fairness as an ethical value. In particular, we argue that fairness is articulated in a distributive and socio-relational dimension; it comprises three main components: fair equality of opportunity, equal right to justification, and fair equality of relationship; these components are grounded in the need to respect persons both as persons and as particular individuals. In section “Fairness in algorithmic decision-making revised”, we analyze the implications of our redefinition of fairness as an ethical value on the discussion of fairness in ADM and show that each component of fairness has profound effects on the criteria that ADM ought to meet. Finally, in section “Concluding remarks”, we sketch some broader implications and conclude. (shrink)

Given the affective psychological and cognitive dynamics prevalent during human–robot-interlocution, the vulnerability to cultural-political influences of the design aesthetics of a social humanoid robot has far-reaching ramifications. Building upon this hypothesis, I explicate the relationship between the structures of the constitution social ontology and computational semiotics, and ventures a theoretical framework which I proposes as a thesis that impels a moral responsibility on engineers of social humanoids. In distilling this thesis, the implications of the intersection between the socio-aesthetics of racialised (...) and genderised humanoids and the phenomenology of human–robot-interaction are illuminated by the figuration of the experience of a typical black rural African woman as the user, that is, an interlocutor with an industry-standard socially-situated humanlike robot. The representation of the gravity of the psycho-existential and socio-political ramifications of such woman’s life with humanoids is abstracted and posited as grounds that illustrate the imperative for roboticists to take socio-ethical considerations seriously in their designs of humanoids. (shrink)

As the use of algorithmic decision‐making becomes more commonplace, so too does the worry that these algorithms are often inscrutable and our use of them is a threat to our agency. Since we do not understand why an inscrutable process recommends one option over another, we lose our ability to judge whether the guidance is appropriate and are vulnerable to being led astray. In response, I claim that a process being inscrutable does not automatically make its guidance inappropriate. This phenomenon (...) is not restricted to algorithms, and there are many social processes which we should conform to but are similarly unable to judge for ourselves. I provide a framework for how we can depend on inscrutable processes by introducing a distinction between knowing conformity (where I understand what justifies the guidance) from mere conformity (where I merely do what I am told) and showing how mere conformity is often positively valuable because it allows for extended processes that in turn allow us to accomplish more than we could on our own. This is in effect a division of deliberative labour, which I argue is something commonplace but not often recognised, of which algorithmic guidance can be an example. (shrink)

BackgroundElectronic patient record (EPR) technology is a key enabler for improvements to healthcare service and management. To ensure these improvements and the means to achieve them are socially and ethically desirable, careful consideration of the ethical implications of EPRs is indicated. The purpose of this scoping review was to map the literature related to the ethics of EPR technology. The literature review was conducted to catalogue the prevalent ethical terms, to describe the associated ethical challenges and opportunities, and to identify (...) the actors involved. By doing so, it aimed to support the future development of ethics guidance in the EPR domain.MethodsTo identify journal articles debating the ethics of EPRs, Scopus, Web of Science, and PubMed academic databases were queried and yielded 123 eligible articles. The following inclusion criteria were applied: articles need to be in the English language; present normative arguments and not solely empirical research; include an abstract for software analysis; and discuss EPR technology.ResultsThe medical specialty, type of information captured and stored in EPRs, their use and functionality varied widely across the included articles. Ethical terms extracted were categorised into clusters ‘privacy’, ‘autonomy’, ‘risk/benefit’, ‘human relationships’, and ‘responsibility’. The literature shows that EPR-related ethical concerns can have both positive and negative implications, and that a wide variety of actors with rights and/or responsibilities regarding the safe and ethical adoption of the technology are involved.ConclusionsWhile there is considerable consensus in the literature regarding EPR-related ethical principles, some of the associated challenges and opportunities remain underdiscussed. For example, much of the debate is presented in a manner more in keeping with a traditional model of healthcare and fails to take account of the multidimensional ensemble of factors at play in the EPR era and the consequent need to redefine/modify ethical norms to align with a digitally-enabled health service. Similarly, the academic discussion focuses predominantly on bioethical values. However, approaches from digital ethics may also be helpful to identify and deliberate about current and emerging EPR-related ethical concerns. (shrink)

The literature on ethics and user attitudes towards AVs discusses user concerns in relation to automation; however, we show that there are additional relevant issues at stake. To assess adolescents’ attitudes regarding the ‘car of the future’ as presented by car manufacturers, we conducted two studies with over 400 participants altogether. We used a mixed methods approach in which we combined qualitative and quantitative methods. In the first study, our respondents appeared to be more concerned about other aspects of AVs (...) than automation. Instead, their most commonly raised concerns were the extensive use of AI, recommender systems, and related issues of autonomy, invasiveness and personal privacy. The second study confirmed that several AV impacts were negatively perceived. The responses were, however, ambivalent. This confirms previous research on AV attitudes. On one hand, the AV features were perceived as useful, while on the other hand, their impacts were negatively assessed. We followed theoretical insights form futures studies and responsible research and innovation, which helped to identify that there are additional user concerns than what has been previously discussed in the literature on public attitudes and ethics of AVs, as well what has been envisioned by car manufactures. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

Purpose Employees may feel overwhelmed with information privacy choices and have difficulties understanding what they are committing to in the digital workplace. This paper aims to analyze the role of different thinking styles for effort reduction, such as the use of intuition, when employees make decisions about the credibility and trustworthiness of workplace information privacy issues in Slovakia. While the General Data Protection Regulation sets precise requirements for valid consent, organizations are classified as data controllers and are subject to credibility (...) judgments by their employees. Design/methodology/approach Data was collected from 230 employees in Slovakia using a survey questionnaire. Quantitative analysis using SPSS was conducted to describe employees thinking preferences when judging the credibility of information privacy in their organizations. Findings The survey participants revealed their perceived credibility and trust in personal data protection and thinking preferences. Unconscious thinking is the type of effort reduction often reported by participants, who perceive high credibility and trust in personal data protection. This study can help managers and data controllers in small- and medium-sized enterprises in reflecting about the way in which people use different thinking processes for decision-making about information privacy in their organizations. Research limitations/implications This study set out to explore how decision-making processes at the workplace relate to credibility of data practices. Focusing on the use of different types of intuition, the authors explored whether the preference for a specific decision-making style can explain the perceived credibility of data practices. The part of the workforce in the sample did not have a strict predisposition to use either intuitive or rational thinking. Practical implications The contribution provides scholars with an overview of the field of intuition, a field that is likely to grow given the challenges of digitalization for organizations, such as shitstorms, cyberattacks and whistleblowing. Originality/value The most well-known concepts from intuition research, e.g. the dual process theory, and practice are tested simultaneously, therewith contributing to the applied literature on domain-specific preferences for intuition and deliberation in decision-making. (shrink)

Fear appeals are used in many domains. Cybersecurity researchers are also starting to experiment with fear appeals, many reporting positive outcomes. Yet there are ethical concerns related to the use of fear to motivate action. In this paper, we explore this aspect from the perspectives of cybersecurity fear appealdeployersandrecipients. We commenced our investigation by considering fear appeals from three foundational ethical perspectives. We then consulted the two stakeholder groups to gain insights into the ethical concerns they consider to be pertinent. (...) We first consulteddeployers: (a) fear appeal researchers and (b) Chief Information Security Officers (CISOs), and then potential cybersecurity fear appealrecipients:members of a crowdsourcing platform. We used their responses to develop aneffects-reasoning matrix, identifying the potential benefits and detriments of cybersecurity fear appeals for all stakeholders. Using these insights, we derived six ethical principles to guide cybersecurity fear appeal deployment. We then evaluated a snapshot of cybersecurity studies using the ethical principle lens. Our contribution is,first, a list of potential detriments that could result from the deployment of cybersecurity fear appeals andsecond, the set of six ethical principles to inform the deployment of such appeals. Both of these are intended to inform cybersecurity fear appeal design and deployment. (shrink)

Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...) reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being. (shrink)

Increasingly, innovation in artificial intelligence technologies portends the re-conceptualization of human existentiality along the paradigm of posthumanism. An exposition of this through a critical culturo-historical methodology uncloaks the Eurocentric genitive basis of the philosophical anthropology that underpins this technological posthumanism, as well as its dystopian possibilities. As a contribution to obviating the latter, an Africanist civilizational humanism proclaimed by Pixley ka Isaka Seme is proffered as a plausible alternative paradigm for humanity’s technological advancement. Seme, a pan-Africanist thinker of the early (...) twentieth century, proclaimed humanistic-spirituality as the indispensable gift African Civilisation-in-its-renaissance is yet to offer global humanity. His postulation is being provided as a contribution to the archive on cross-cultural ethics of artificial intelligence. (shrink)

BackgroundThis manuscript presents a framework to guide the identification and assessment of ethical opportunities and challenges associated with electronic patient records (EPR). The framework is intended to support designers, software engineers, health service managers, and end-users to realise a responsible, robust and reliable EPR-enabled healthcare system that delivers safe, quality assured, value conscious care.MethodsDevelopment of the EPR applied ethics framework was preceded by a scoping review which mapped the literature related to the ethics of EPR technology. The underlying assumption behind (...) the framework presented in this manuscript is that ethical values can inform all stages of the EPR-lifecycle from design, through development, implementation, and practical application.ResultsThe framework is divided into two parts: context and core functions. The first part ‘context’ entails clarifying: the purpose(s) within which the EPR exists or will exist; the interested parties and their relationships; and the regulatory, codes of professional conduct and organisational policy frame of reference. Understanding the context is required before addressing the second part of the framework which focuses on EPR ‘core functions’ of data collection, data access, and digitally-enabled healthcare.ConclusionsThe primary objective of the EPR Applied Ethics Framework is to help identify and create value and benefits rather than to merely prevent risks. It should therefore be used to steer an EPR project to success rather than be seen as a set of inhibitory rules. The framework is adaptable to a wide range of EPR categories and can cater for new and evolving EPR-enabled healthcare priorities. It is therefore an iterative tool that should be revisited as new EPR-related state-of-affairs, capabilities or activities emerge. (shrink)

When people use online platforms to solicit funds from others for health-related needs, they are engaging in medical crowdfunding. This form of crowdfunding is growing in popularity, and its visibility is increasing as campaigns are commonly shared via social networking. A number of ethical issues have been raised about medical crowdfunding, one of which is that it introduces a number of privacy concerns. While campaigners are encouraged to share very personal details to encourage donations, the sharing of such details may (...) result in privacy losses for the beneficiary. Here, we explore the ways in which privacy can be threatened through the practice of medical crowdfunding by exploring campaigns for children with defined health needs scraped from the GoFundMe platform. We found specific privacy concerns related to the disclosure of private details about the beneficiary, the inclusion of images and the nature of the relationship between campaigner, funding recipient and beneficiary. For example, it was found that identifying personal and medical details about the beneficiary, including symptoms and treatment history, were often mentioned by campaigners. While the privacy concerns identified are problematic, they are also difficult to remedy given the strong financial incentive to crowdfund. However, crowdfunding platforms can enhance privacy protections by, for example, requiring those campaigning on behalf of child beneficiaries to ensure consent has been obtained from their guardians and providing additional guidelines for the inclusion of personal information in campaigns made on behalf of those not able to give their consent to the campaign. (shrink)

Cities, such as industry or the universities, are immersed in a process of digital transformation generated by the possibility and technological convergence of the Internet of Things, Big Data and Artificial Intelligence and its consequences: hyperconnectivity, datafication and algorithmization. A process of transformation towards what has come to be called as Smart Cities. The aim of this paper is to show the impacts and consequences of digital connectivity, algorithmization and the datafication of urban digital society to outline possible ways of (...) resolving the underlying moral conflicts. (shrink)

Biometric technologies are at the forefront of organizational innovation, surveillance, and control. In many instances, the use of physiological and behavioral biometrics enhances individual and organizational performance. However, they also have the potential to hinder human wellbeing. In particular, recent generations of biometrics are capable of extracting deeper insights into human behavior, enabling organizational surveillance practices, but may also constrain individual rights and freedoms. While biometric technologies have been evidenced to infringe upon privacy and lead to discriminatory practices, little research (...) has examined the impact of biometrics on dignity, an important ethical construct related to human wellbeing. In this conceptual paper, we draw from the theory of affordances to identify and delineate six affordances of biometric technologies, categorized into inhibiting and augmenting biometric affordances. We propose a framework in which inhibiting and augmenting biometric affordances may simultaneously support and humiliate dignity. This separation offers a theoretical base for future empirical research to explore the increasingly pervasive relationship between biometric adoption and human dignity. Moreover, we explain six paradoxical tensions across three forms of dignity—inherent, behavioral, and meritocratic—in the proposed framework. Finally, we discuss why firms should be responsible for addressing the tensions across dignity forms when they adopt biometric technologies to balance the trade-off between wealth creation and human wellbeing. This offers guidance for practitioners on how to integrate biometric technologies without hindering human dignity. (shrink)

Digital energy platforms play a central role in the transition toward a more sustainable energy system. This research explores the effect of digital energy platforms on public values. We developed and tested a novel public value framework, combining values already embedded in energy and digitalization regulations and emerging values that have become more relevant in recent debates. We analyzed value changes and potential value tensions. We found that sustainability is prioritized, security is broadened to include cybersecurity, and values relevant for (...) digital technologies, such as control over technology, have also become relevant for the energy system. This has resulted in three value tensions: preserving a well-functioning energy system, self-determination, and ensuring a level playing field and public control. A sustainable energy system requires governments to address these value changes, value tensions, and connected societal and political challenges related to the implementation of digital energy platforms. (shrink)

Digital communication between humans fundamentally changes the nature of communication. One inherent change is the acceleration of communication as a systematic change in societal life, particularly in the workplace. Often, the aim is to release time resources. However, the acceleration of communication also leads to the opposite: a lack of time. This paradoxical development can be based on an acceleration cycle whereby technologies seem to be a solution on the micro-level, but they are also a significant part of the problem (...) on the meso-level. (shrink)

The article explores the normative concerns raised for gig workers by algorithmic management (AM), by embracing an ethnographically sensitive approach to philosophical inquiry. Inspired by Michel de Certeau’s concept of ‘tactics’, the article suggests interpreting workers’ attempts to ‘trick the algorithm’ and escape some of AM’s constraints as ways to reclaim agency, in the absence of suitable organizational conditions for its affirmative exercise. The kind of agency specifically deployed by workers in cooperative settings is referred to as ‘contributive agency’, broadly (...) defined as workers’ control over their contribution in multiple dimensions – epistemic, relational, participatory and protective. Contributive agentic capacities are not mere properties of agents, but organizationally mediated capacities that can be more or less enabled or constrained depending on the contributive context. It is argued that below a certain threshold, AM’s agency-constraining features are objectionable and desirable agency-enabling organizational conditions are identified in the four dimensions. (shrink)

Most theories of justice rest on the idea that emotions need to be contained or set aside and that rationality serves as the best, if not exclusive, criterion for identifying the principles of a fair distribution. In recent years, however, two important claims have been made. One is that rationality and emotions are not in conflict with one another, but should be conceived of as strictly interconnected; the other is that social justice is not just about distribution, but also – (...) or especially – about social relations. This paper aims to bridge these claims and argues that (a) the role of emotions should be recognised by theories of justice, as it is compatible with the importance such theories attribute to rationality, and (b) an inquiry into emotions is particularly important to investigate the socio-relational dimension of justice. Moreover, the paper claims that (c) in order to adequately investigate the role of emotions in social justice, it is important to acknowledge that emotions are structurally mediated and shaped by powerful transformative forces, among which technologies – especially so-called socially disruptive technologies (SDTs) – prove to be particularly relevant. The paper argues that SDTs have a fundamental role in shaping social relations, shared commitments, and the emotions that follow from them or enable them. (shrink)

Biometric technology was once the purview of security, with face recognition and fingerprint scans used for identification and law enforcement. This is no longer the case; biometrics is increasingly used for commercial and civil applications. Due to the widespread diffusion of biometrics, it is important to address the ethical issues inherent to the development and deployment of the technology. This article explores the burgeoning research on biometrics for non-security purposes and the ethical implications for organizations. This will be achieved by (...) reviewing the literature on biometrics and business ethics and drawing from disciplines such as computer ethics to inform a more robust discussion of key themes. Although there are many ethical concerns, privacy is the key issue, with associated themes. These include definitions of privacy, the privacy paradox, informed consent, regulatory frameworks and guidelines, and discrimination. Despite the proliferation of biometric technology, there is little empirical research on applied biometrics and business ethics. As such, there are several avenues for research to improve understanding of the ethical implications of using this technology. (shrink)

At the current level of economic development, the digital transformation of society is an important factor in advancing any social structure. The purpose of the present study was to explore the transformation of a traditional society into a digital one, with a focus on ethical and environmental aspects. The study draws on a variety of information analysis methods to identify strengths, weaknesses, opportunities, and threats of digitalization, including the environmental aspect. Our research revealed that in Russia, the only highly digitalized (...) sectors were information technology and finance. Digitalization is strikingly different in the European countries, where only transport and building industries slowly implemented digital technologies into their business processes. We also examined digitalization levels in 7 Moscow universities. The universities managed to improve their digitalization scores with the help of recommendations developed for online learning, such as selection of quality software, having qualified teaching staff, constant monitoring, and evaluation of knowledge. The findings can be used in economic, social, and environmental spheres since they highlight the ambiguous effects of digitalization using practical examples. (shrink)

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle monitoring, and health information management. While research has identified biases in healthcare AI systems and proposed technical solutions to address these, we argue that effective solutions require human engagement. Furthermore, there is a lack of research on how to motivate the adoption of these solutions and promote investment in designing AI systems that align with values (...) such as transparency and fairness from the outset. Drawing on insights from psychological theories, we assert the need to understand the values that underlie decisions made by individuals involved in creating and deploying AI systems. We describe how this understanding can be leveraged to increase engagement with de-biasing and fairness-enhancing practices within the AI healthcare industry, ultimately leading to sustained behavioral change via autonomy-supportive communication strategies rooted in motivational and social psychology theories. In developing these pathways to engagement, we consider the norms and needs that govern the AI healthcare domain, and we evaluate incentives for maintaining the status quo against economic, legal, and social incentives for behavior change in line with transparency and fairness values. (shrink)

Purpose While online classes have enabled many universities to carry out their regular academic activities, they have also given rise to new and unanticipated ethical concerns. We focus on the “dark side” of online class settings and attempt to illuminate the ethical problems associated with them. The purpose of this study is to investigate the affordances stemming from the technology-user interaction that can result in negative outcomes. We also attempt to understand the context in which these deleterious affordances are actualized. (...) Design/methodology/approach We obtain the data from narratives written by students at a top private university in Bangladesh about their experiences of online classes and exams and from focus group discussions with them. We use the lens of affordance theory to identify the abilities that goal-oriented actors – primarily students – obtain from the technology-user interactions, which result in negative outcomes. We also attempt to understand the contextual actualization of those affordances through the lens of Routine Activity Theory (RAT). Findings We find three deleterious affordances and three associated deviant outcomes. Non-monitorability which results in academic dishonesty, disguiseability which results in cyber-truancy, and intrudeability which results in embarrassment and harassment. Our findings reveal a deeper underlying problem with the existing educational approach in the universities of Bangladesh and suggest that there is a need to introduce more modern teaching techniques focused on issues such as student engagement and interactive learning. Originality/value To the best of our knowledge, this is the first paper that combines affordance theory with RAT to identify unethical practices observed in online class settings in the context of a least developed country like Bangladesh and to examine the environmental components that give rise to the pre-conditions for the unethical practices to surface. (shrink)

The characteristics of green intelligent engineering ethics emphasize the necessity of GI engineering ethics education. The ethics education of GI engineering is in the development stage, and it is urgent to fully understand the significance of evaluating the development of GI EEE. Only based on the GI manufacturing situation system to understand the implementation status of the core education of EEE can we objectively grasp the improvement space of GI EEE. In this study, the corresponding indicators were selected from three (...) dimensions of cultivation education, collaborative education, and situational education to form the element community of evaluation indicators. The fuzzy analytic hierarchy process and the fuzzy comprehensive evaluation method were used to empirically evaluate the implementation of the key mechanism of GI EEE. The results are as follows. The key education of GI EEE includes cultivation education of micro dimension, collaborative education of medium dimension, and situational education of macro dimension. The most important education is to strengthen the ethics education of GI engineering in the training process of college students. The coordination of GI EEE is becoming more and more important, and the integration and construction are the important pursuit of GI EEE. The cultivation education, collaborative education, and situational education of GI EEE are all at a general level. There is not only a gap between theory and practice in GI EEE but also insufficient attention to localization and coordination issues. The willingness of the government to participate in the ethical education of GI engineering is very insufficient. The optimized space of training education includes teaching cases and full-cycle ethical education. (shrink)