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This paper interrogates the growing pervasiveness of affect recognition tools as an emerging layer human-centric automated management in the global workplace. While vendors tout the neoliberal incentives of emotion-recognition technology as a pre-eminent tool of workplace wellness, we argue that emotional AI recalibrates the horizons of capital not by expanding outward into the consumer realm (like surveillance capitalism). Rather, as a new genus of digital Taylorism, it turns inward, passing through the corporeal exterior to extract greater surplus value and managerial control from the affective states of workers. Thus, empathic surveillance signals a profound shift in the ontology of human labor relations. In the emotionally quantified workplace, employees are no longer simply seen as physical capital, but conduits of actuarial and statistical intelligence gleaned from their most intimate subjective states. As a result, affect-driven automated management means that priority is often given to actuarial rather than human-centered managerial decisions. [ABSTRACT FROM AUTHOR]

Conversational AI, such as chatbots, is being used in various fields like finance, mental health counseling, advertising, and journalism. However, these AI agents are also being used by extremist groups, rogue governments, and criminal organizations for information warfare and cybercrime. The battle against adversarial AI chatbots is failing due to the competitive nature of the industry, the arbitrary nature of government oversight, and the reluctance of social media companies to allow external inspection of their moderation systems. As chatbots become more human-like, the dangers of online radicalization and the need for further research on content moderation systems are highlighted. [Extracted from the article]

This essay discusses the concerns surrounding the rise of AI technologies that aim to maximize digital engagement. It explores how these technologies intersect and feed into George Orwell's fear of constant surveillance and Aldous Huxley's fear of using pharmaceutical technologies to numb human feelings, resulting in corrosive effects on human psychology. The essay highlights the voluntary nature of digital surveillance technologies and the promise of self-improvement, but also points out the stress and anxiety that arise from being constantly monitored and measured against unrealistic standards. It also mentions the impact of smart technologies on mental health, sleep, and cognitive performance. The essay concludes by emphasizing the importance of mindfulness, open dialogue, and the incorporation of safeguards for privacy, autonomy, and fairness in the design of these technologies. [Extracted from the article]

Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker. More popularly known by its commercial moniker, Emotional AI, the technology stems from advancements in affective computing. But whereas previous generations of biometric monitoring targeted the exterior physical body of the worker, concurrent with the writings of Foucault and Hardt, we argue that emotion-recognition tools signal a far more invasive disciplinary gaze that exposes and makes vulnerable the inner regions of the worker-self. Our paper explores attitudes towards empathic surveillance by analyzing a survey of 1015 responses of future job-seekers from 48 countries with Bayesian statistics. Our findings reveal affect tools, left unregulated in the workplace, may lead to heightened stress and anxiety among disadvantaged ethnicities, gender and income class. We also discuss a stark cross-cultural discrepancy whereby East Asians, compared to Western subjects, are more likely to profess a trusting attitude toward EAI-enabled automated management. While this emerging technology is driven by neoliberal incentives to optimize the worksite and increase productivity, ultimately, empathic surveillance may create more problems in terms of algorithmic bias, opaque decisionism, and the erosion of employment relations. Thus, this paper nuances and extends emerging literature on emotion-sensing technologies in the workplace, particularly through its highly original cross-cultural study. [ABSTRACT FROM AUTHOR]

We have examined the attitude and moral perception of 228 college students (63 Japanese and 165 non-Japanese) towards artificial intelligence (AI) in an international university in Japan. The students were asked to select a single most significant ethical issue associated with AI in the future from a list of nine ethical issues suggested by the World Economic Forum, and to explain why they believed that their chosen issues were most important. The majority of students (n = 149, 65%) chose unemployment as the major ethical issue related to AI. The second largest group of students (n = 29, 13%) were concerned with ethical issues related to emotional AI, including the impact of AI on human behavior and emotion. The paper discusses the results in detail and concludes that, while policymakers must consider how to ameliorate the impact of AI on employment, AI engineers need to consider the emotional aspects of AI in research and development, as well. [ABSTRACT FROM AUTHOR]