Human autonomy in the age of artificial intelligence

Anatomical human body donation in South Africa: Inconsistencies of informed consent

INTRODUCTION

Informed consent is critical for maintaining the ethical standards associated with the utilization of human donor bodies by tertiary education institutions. Body donation programs undertake the responsibility for procuring human donor bodies for didactic and research purposes. However, its processes require scrutiny regarding best practice guidelines and the South African National Health Act (SA-NHA) (2013). Moreover, acknowledging and addressing the current perceptions of human body donation are indispensable in bridging the gap between academia and society. This study aimed to compare informed consent documentation and procedures across South African tertiary education institutions and their affiliated human body donation programs (HBDP) in accordance with international guidelines. The findings were used to create a human body donation form template aligned to current international best practices for consideration by the South African HBDP.

METHODOLOGY

A review of information and consent forms collected from South Africa's eight HBDP was conducted. The analyses consisted of a broad evaluation of information provided, ranging from the terms-of-use for human donor bodies to the commitments made by HBDP to body-donors. The results were considered in conjunction with the International Federation of Associations of Anatomists and other recent publications on informed consent in HBDP.

RESULTS

Only two of the eight HBDP provided information and consent forms in more than one language. Most allowed donors to select how their bodies will be utilized - education, training and/or research. Some (6/8) made provisions for the next-of-kin to receive the cremains. Only one tertiary educational institution mentioned the occurrence of a memorial service in its documentation. An HBDF template was created aligned to current international best practices for presentation and possible adaption by SA HBDP.

DISCUSSION & CONCLUSIONS

Human body donation forms (HBDF) requires thorough examination for the promotion and sustainability of HBDP. Effective communication by employing standardized non-technical terminology conveyed in language that is understandable and native to potential donors facilitates the deliverance of informed consent. Inconsistencies regarding the use and management of bodies catalyze the weakening perception of human body donation. Thus, this process of securing informed consent for body donation should be conducted in conjunction with public awareness campaigns and underpinned by the necessary policy and legislative reform.

Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis

Health Recommender Systems are promising Articial-Intelligence-based tools endowing healthy lifestyles and therapy adherence in healthcare and medicine. Among the most supported areas, it is worth mentioning active aging. However, current HRS supporting AA raise ethical challenges that still need to be properly formalized and explored. This study proposes to rethink HRS for AA through an autonomy-based ethical analysis. In particular, a brief overview of the HRS' technical aspects allows us to shed light on the ethical risks and challenges they might raise on individuals' well-being as they age. Moreover, the study proposes a categorization, understanding, and possible preventive/mitigation actions for the elicited risks and challenges through rethinking the AI ethics core principle of autonomy. Finally, elaborating on autonomy-related ethical theories, the paper proposes an autonomy-based ethical framework and how it can foster the development of autonomy-enabling HRS for AA.

The state-trait sense of self inventory: A psychometric study of self-experience and its relation to psychosis-like manifestations

The sense of self is a fundamental construct in the study of the mind, yet its psychological nature remains elusive. We introduce a novel 25-item inventory to investigate selfhood both as an enduring trait and a temporary state. We hypothesized two foundational aspects of the self: identity (related to self-referencing and continuity over time) and agency (the perception of controlling own's actions and thoughts). Results from two population studies highlight a singular self-trait factor combining agency and identity. In contrast, self-state measures revealed a bifactorial structure with a high-order factor and three lower-order subfactors: state-identity, state-agency, and state-technology. These factors were predictive of psychosis-like experiences, schizotypal traits, and hopelessness. Mediation analysis demonstrated that the negative association between the sense of self and hopelessness is mediated by depressive manifestations. Our research provides a tool to shed new light on the complexity of the sense of self and its mental health implications.

Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration

We theorize about human-team collaboration with AI by drawing upon research in groups and teams, social psychology, information systems, engineering, and beyond. Based on our review, we focus on two main issues in the teams and AI arena. The first is whether the team generally views AI positively or negatively. The second is whether the decision to use AI is left up to the team members (voluntary use of AI) or mandated by top management or other policy-setters in the organization. These two aspects guide our creation of a team-level conceptual framework modeling how AI introduced as a mandated addition to the team can have asymmetric effects on collaboration level depending on the team’s attitudes about AI. When AI is viewed positively by the team, the effect of mandatory use suppresses collaboration in the team. But when a team has negative attitudes toward AI, mandatory use elevates team collaboration. Our model emphasizes the need for managing team attitudes and discretion strategies and promoting new research directions regarding AI’s implications for teamwork.