(Featured) Trojan technology in the living room?

Trojan technology in the living room?

Franziska Sonnauer and Andreas Frewer explore the delicate balance between self-determination and external determination in the context of older adults using assistive technologies, particularly those incorporating artificial intelligence (AI). The authors introduce the concept of a “tipping point” to delineate the transition between self-determination and external determination, emphasizing the importance of considering the subjective experiences of older adults when employing such technologies. To this end, the authors adopt self-determination theory (SDT) as a theoretical framework to better understand the factors that may influence this tipping point.

The paper argues that the tipping point is intrapersonal and variable, suggesting that fulfilling the three basic psychological needs outlined in SDT—autonomy, competence, and relatedness—can potentially shift the tipping point towards self-determination. The authors propose various strategies to achieve this, such as providing alternatives for assistance in old age, promoting health technology literacy, and prioritizing social connectedness in technological development. They also emphasize the need to include older adults’ perspectives in decision-making processes, as understanding their subjective experiences is crucial to recognizing and respecting their autonomy.

Moreover, the authors call for future research to explore the tipping point and factors affecting its variability in different contexts, including assisted suicide, health deterioration, and the use of living wills and advance care planning. They contend that understanding the tipping point between self-determination and external determination may enable the development of targeted interventions that respect older adults’ autonomy and allow them to maintain self-determination for as long as possible.

In a broader philosophical context, this paper raises important ethical questions concerning the role of technology in shaping human agency, autonomy, and decision-making processes. It challenges us to reflect on the ethical implications of increasingly advanced assistive technologies and the potential consequences of their indiscriminate use. The issue of the tipping point resonates with broader debates on the nature of free will, the limits of self-determination, and the moral implications of human-machine interactions. As AI continues to become more integrated into our lives, the question of how to balance self-determination and external determination takes on greater urgency and complexity.

For future research, it would be valuable to explore the concept of the tipping point in different cultural contexts, as perceptions of autonomy and self-determination may vary across societies. Additionally, interdisciplinary approaches that combine insights from philosophy, psychology, and technology could shed light on the complex interplay between human values and AI-driven systems. Finally, empirical research investigating the experiences of older adults using assistive technologies would provide valuable data to help refine our understanding of the tipping point and inform the development of more ethically sound technologies that respect individual autonomy and promote well-being.

Abstract

Assistive technologies, including “smart” instruments and artificial intelligence (AI), are increasingly arriving in older adults’ living spaces. Various research has explored risks (“surveillance technology”) and potentials (“independent living”) to people’s self-determination from technology itself and from the increasing complexity of sociotechnical interactions. However, the point at which self-determination of the individual is overridden by external influences has not yet been sufficiently studied. This article aims to shed light on this point of transition and its implications.

Trojan technology in the living room?

(Featured) The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work

The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work

In the realm of artificial intelligence (AI) deployment, a neglected ethical concern is the impact of AI on meaningful work. Sarah Bankins and Paul Formosa focus on this critical aspect, emphasizing that understanding the consequences of AI on meaningful work for the remaining workforce is as significant as examining the impact of AI-induced unemployment. Meaningful work plays a crucial role in human well-being, autonomy, and flourishing, rendering it an essential ethical dimension.

The authors investigate three paths of AI deployment: replacing tasks, ‘tending the machine’, and amplifying, across five dimensions of meaningful work: task integrity, skill cultivation and use, task significance, autonomy, and belongingness. By employing this approach, they identify the ways AI may both enhance and undermine meaningful work experiences across the dimensions. Additionally, the authors draw upon ethical implications by utilizing five key ethical AI principles, providing practical guidance for organizations and suggesting opportunities for future research.

The paper concludes that AI has the potential to make work more meaningful for some workers by performing less meaningful tasks and amplifying their capabilities. However, it also highlights the risk of making work less meaningful for others by generating monotonous tasks, restricting worker autonomy, and disproportionately distributing AI benefits away from less-skilled workers. This dualistic impact suggests that AI’s future effects on meaningful work will be both significant and varied.

The authors’ analysis of AI and meaningful work raises broader philosophical issues. One such issue pertains to the value of work in the context of human dignity, self-realization, and social connection. As AI technologies advance, society will need to reflect on the meaning of work and redefine it in response to the changes brought about by these innovations. Furthermore, the ethical principles guiding AI development and deployment must not only ensure fair and equitable distribution of benefits but also preserve the essence of human engagement in work.

Future research in this area could explore the potential impact of AI on work’s existential value and its influence on the human experience. Researchers may also delve into the development of ethical frameworks that ensure AI technologies foster more meaningful work and equitable distribution of benefits. Finally, the potential outcomes and implications of artificial general intelligence (AGI) on meaningful work should be considered, as AGI could dramatically alter the landscape of human labor and the very nature of work itself.

Abstract

The increasing workplace use of artificially intelligent (AI) technologies has implications for the experience of meaningful human work. Meaningful work refers to the perception that one’s work has worth, significance, or a higher purpose. The development and organisational deployment of AI is accelerating, but the ways in which this will support or diminish opportunities for meaningful work and the ethical implications of these changes remain under-explored. This conceptual paper is positioned at the intersection of the meaningful work and ethical AI literatures and offers a detailed assessment of the ways in which the deployment of AI can enhance or diminish employees’ experiences of meaningful work. We first outline the nature of meaningful work and draw on philosophical and business ethics accounts to establish its ethical importance. We then explore the impacts of three paths of AI deployment (replacing some tasks, ‘tending the machine’, and amplifying human skills) across five dimensions constituting a holistic account of meaningful work, and finally assess the ethical implications. In doing so we help to contextualise the meaningful work literature for the era of AI, extend the ethical AI literature into the workplace, and conclude with a range of practical implications and future research directions.

The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work