Jo Ann Oravec

Cheating is a growing academic and ethical concern in higher education. This article examines the rise of artificial intelligence (AI) generative chatbots for use in education and provides a review of research literature and relevant scholarship concerning the cheating-related issues involved and their implications for pedagogy. The technological “arms race” that involves cheating-detection system developers versus technology savvy students is attracting increased attention to cheating. AI has added new dimensions to academic cheating challenges as students (as well as faculty and staff) can easily access powerful systems for generating content that can be presented in assignments, exams, or published papers as their own. AI methodology is also providing some emerging anti-cheating approaches, including facial recognition and water- marking. This article provides an overview of human/AI collaboration approaches and frames some educational misuses of such AI generative systems as ChatGPT and Bard as forms of “misattributed co-authorship.” As with other kinds of collaborations, the work that students produce with AI assistance can be presented in transparent and straightforward modes or (unfortunately) in opaquer and ethically-problematic ways. However, rather than just for catching or entrapping students, the emerging varieties of technological cheating-detection strategies can be used to assist students in learning how to document and attribute properly their AI-empowered as well as human-human collaborations. Construing misuses of AI generative systems as misattributed co-authorship can recognize the growing capabilities of these tools and how stressing responsible and mindful usage by students can help prepare them for a highly collaborative, AI-saturated future.

An assortment of kinds of attacks and aggressive behaviors toward artificial intelligence (AI)-enhanced robots has recently emerged. This paper explores questions of how the human emotions and motivations involved in attacks of robots are being framed as well as how the incidents are presented in social media and traditional broadcast channels. The paper analyzes how robots are construed as the “other” in many contexts, often akin to the perspectives of “machine wreckers” of past centuries. It argues that focuses on the emotions and motivations of robot attackers can be useful in mitigating anti-robot activities. “Hate crime” or “hate incident” characterizations of some anti-robot efforts should be utilized in discourse as well as some future legislative efforts. Hate crime framings can aid in identifying generalized antagonism and antipathy toward robots as autonomous and intelligent entities in the context of antirobot attacks. Human self-defense may become a critical issue in some anti-robot attacks, especially when apparently malfunctioning robots are involved. Attacks of robots present individuals with vicarious opportunities to participate in anti-robot activity and also potentially elicit other aggressive, copycat actions as videos and narrative accounts are shared via social media as well as personal networks.

An assortment of kinds of attacks and aggressive behaviors toward artificial intelligence (AI)-enhanced robots has recently emerged. This paper explores questions of how the human emotions and motivations involved in attacks of robots are being framed as well as how the incidents are presented in social media and traditional broadcast channels. The paper analyzes how robots are construed as the “other” in many contexts, often akin to the perspectives of “machine wreckers” of past centuries. It argues that focuses on the emotions and motivations of robot attackers can be useful in mitigating anti-robot activities. “Hate crime” or “hate incident” characterizations of some anti-robot efforts should be utilized in discourse as well as some future legislative efforts. Hate crime framings can aid in identifying generalized antagonism and antipathy toward robots as autonomous and intelligent entities in the context of antirobot attacks. Human self-defense may become a critical issue in some anti-robot attacks, especially when apparently malfunctioning robots are involved. Attacks of robots present individuals with vicarious opportunities to participate in anti-robot activity and also potentially elicit other aggressive, copycat actions as videos and narrative accounts are shared via social media as well as personal networks.

Abstract: Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial intelligence (AI) applications; they have also engendered special challenges in terms of their social, ethical, and cultural implications. An assortment of commercial cheating–detection systems have been injected into educational contexts with little input on the part of relevant stakeholders. This paper expands several specific cases of how systems for the detection of cheating have recently been implemented in higher education institutions in the US and UK. It investigates how such vehicles as wearable technologies, eye scanning, and keystroke capturing are being used to collect the data used for anti-cheating initiatives, often involving systems that have not gone through rigorous testing and evaluation for their validity and potential educational impacts. The paper discusses accountability- and policy-related issues concerning the outsourcing of cheating detection in institutional settings in the light of these emerging technological practices as well as student resistance against the systems involved. The cheating-detection practices can place students in a disempowered, asymmetrical position that is often at substantial variance with their cultural backgrounds.

This book explores how robotics and artificial intelligence can enhance human lives but also have unsettling “dark sides.” It examines expanding forms of negativity and anxiety about robots, AI, and autonomous vehicles as our human environments are reengineered for intelligent military and security systems and for optimal workplace and domestic operations. It focuses on the impacts of initiatives to make robot interactions more humanlike and less creepy. It analyzes the emerging resistances against these entities in the wake of omnipresent AI applications. It unpacks efforts by developers to have ethical and social influences on robotics and AI, and confronts the AI hype that is designed to shield the entities from criticism. The book draws from science fiction, dramaturgical, ethical, and legal literatures as well as current research agendas of corporations. Engineers, implementers, and researchers have often encountered users' fears and aggressive actions against intelligent entities, especially in the wake of deaths of humans by robots and autonomous vehicles. The book is an invaluable resource for developers and researchers in the field, as well as curious readers who want to play proactive roles in shaping future technologies.

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.

The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also played significant roles in this discourse. This paper provides an historical sequencing then analyzes a selection of writings produced since the 1940s concerning the economic and social issues involving artificial intelligence (AI) research and applications. The paper explores how overstatements and hyperbolic themes and concepts, often stemming from AI’s early periods, are being employed in characterizations of current AI approaches in apparently opportunistic attempts to provide rhetorical support for various large-scale business and societal initiatives. It also addresses the relative neglect of the consideration of many of AI’s sociotechnical failures and discontinued approaches in recent examinations of automation and social welfare issues. The paper discusses the moral logic of AI researchers and developers providing reasonable and measured narratives in public discourse rather than hyperbole, efforts that can empower decision makers to make sounder judgments concerning the technology’s current and future applications as well as allocate the rewards of the technology more equitably.

Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins of these mottos and statements, this chapter projects the future of such ethical manifestations in the context of critically-important privacy, security, and economic concerns. The chapter analyzes potential influences of the ethical expressions on corporate social responsibility (CSR) initiatives. The chapter analyzes issues of whether “large-grained” corporate mottos can indeed serve to supply social and ethical guidance for organizations as opposed to more complex, detailed codes of ethics or comparable attempts at moral clarification.

Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/ Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins of these mottos and statements, this chapter projects the future of such ethical manifestations in the context of critically-important privacy, security, and economic concerns. The chapter analyzes potential influences of the ethical expressions on corporate social responsibility (CSR) initiatives. The chapter analyzes issues of whether “large-grained” corporate mottos can indeed serve to supply social and ethical guidance for organizations as opposed to more complex, detailed codes of ethics or comparable attempts at moral clarification.

Using the search engine Google to locate information linked to individuals and organizations has become part of everyday functioning. This article addresses whether the “gaming” of Internet applications in attempts to modify reputations raises substantial ethical concerns. It analyzes emerging approaches for manipulation of how personally-identifiable information is accessed online as well as critically-important international differences in information handling. Itinvestigates privacy issues involving the data mining of personally-identifiable information with search engines and social media platforms. Notions of “gaming” and “manipulation” have negative connotations as well as instrumental functions, which are distinguished in this article. The article also explores ethical matters engendered by the expanding industry of reputation management services that assist in these detailed technical matters. Ethical dimensions of online reputation are changing in the advent of reputation management, raising issues such as fairness and legitimacy of various information-related practices; the article provides scenarios and questions for classroom deliberation.

Construction of self and group often incorporates the use of objects associated with "expression," including videos, films, and photographs. In this article, I describe four different sites for construction of groups (group portraiture, courtrooms, video-assisted group therapy, and videoconferencing). I discuss potential aspects of shifts in the way we use and talk about media on what it is like to participate in a group. The eras of video, film, and photography as "silent witnesses" to group interaction are gradually passing. For example, technology that enables the digital retouching of photographs has afforded means for enhancing or dramatically altering photographic images. Those who employ these media as epistemological companions, supplementing their vision and memories of various events and interactions, are increasingly doing so from a critical (and somewhat cautious) perspective..

Digital video and photography are becoming aspects of everyday business activities, allowing for the quick modification and distribution of images. From development of websites to the editing of a single photograph on a desktop PC, people are using digital images in many business contexts. However, important business ethics issues are emerging concerning the malleability and veracity of digital images as well as their rapid dissemination on the Internet. Activities with digital video and photography in business ethics classrooms can underscore a number of philosophical and moral concerns involving the nature of perception and documentation as well as surveillance. The era of video and photography as reliable “witnesses” to human interaction is gradually passing; they are becoming recognized as highly malleable media that give photographers wide leeway in modification, leading to issues involving the trustworthiness of photographic documentation in business contexts. Various exercises and scenarios that explore image modification issues are included in this article. Hands-on exercises can also be effective; students who create and subsequently edit digital portraits of themselves in the context of a business ethics class can gain valuable perspectives on role-taking and the ethical implications of deceptive communications.

Collaborative filtering is being used within organizations and in community contexts for knowledge management and decision support as well as the facilitation of interactions among individuals. This article analyzes rhetorical and technical efforts to establish trust in the constructions of individual opinions, reputations, and tastes provided by these systems. These initiatives have some important parallels with early efforts to support quantitative opinion polling and construct the notion of “public opinion.” The article explores specific ways to increase trust in these systems, albeit a “guarded trust” in which individuals actively seek information about system foibles and analyze the reputations of participants.

Using the search engine Google to locate information linked to individuals and organizations has become part of everyday functioning. This article addresses whether the “gaming” of Internet applications in attempts to modify reputations raises substantial ethical concerns. It analyzes emerging approaches for manipulation of how personally-identifiable information is accessed online as well as critically-important international differences in information handling. It investigates privacy issues involving the data mining of personally-identifiable information with search engines and social media platforms. Notions of “gaming” and “manipulation” have negative connotations as well as instrumental functions, which are distinguished in this article. The article also explores ethical matters engendered by the expanding industry of reputation management services that assist in these detailed technical matters. Ethical dimensions of online reputation are changing in the advent of reputation management, raising issues such as fairness and legitimacy of various information-related practices; the article provides scenarios and questions for classroom deliberation.