Care robot literacy: integrating AI ethics and technological literacy in contemporary healthcare

Turja, T., et al.

AI Ethics (2024). 

https://doi.org/10.1007/s43681-024-00576-6

Abstract

Healthcare work is guided by care ethics, and any technological changes, including the use of robots and artificial intelligence (AI), must comply with existing norms, values and work practices. By bridging technological literacy and AI ethics, this study provides a nuanced definition and an integrative conceptualization of care robot literacy (CRL) for contemporary care work. Robotized care tasks require new orientation and qualifications on the part of employees. CRL is considered as one of these new demands, which requires practitioners to have the resources, skills and understanding necessary to work with robots. This study builds on sociotechnical approach of literacy by highlighting a dynamic relationship of care robotization in which successful human–technology interaction relies on exchanges between the technological and the social. Our findings from directed content analysis and theoretical synthesis of in-demand technological literacy and AI ethics in care work emphasize competencies and situational awareness regarding both using the robot and communicating about the care robot. The initial conceptualization of CRL provides a conceptual framework for future studies, implementation and product development of care robots, drastically differing from studying, implementing and developing robots in general. In searching for technologically sound and ethically compliant solutions, the study advocates for the future significance of context-specific CRL as valuable addition to the terminology of ethical AI in healthcare.

Here are some thoughts:

Healthcare work is fundamentally guided by care ethics, which must be upheld as robots and artificial intelligence (AI) are integrated into care settings. Any technological advancements in healthcare must align with existing norms, values, and work practices to ensure that ethical care delivery is maintained. This highlights the importance of a thoughtful approach to the incorporation of technology in healthcare environments.

A novel concept emerging from this discourse is Care Robot Literacy (CRL), which bridges technological literacy and AI ethics. CRL encompasses the resources, skills, and understanding necessary for healthcare practitioners to work effectively with robots in their care practices. As robotized care tasks require new orientations and qualifications from employees, CRL becomes essential for equipping practitioners with the competencies needed to navigate this evolving landscape.

This study adopts a sociotechnical approach to CRL, emphasizing the dynamic relationship between care robotization and human-technology interaction. Successful integration of robots in healthcare relies on effective exchanges between technological capabilities and social factors. This interplay is crucial for fostering an environment where both patients and practitioners can benefit from technological advancements.

Key components of CRL include practical skills for operating robots and the ability to communicate about their use within care settings. These competencies are vital for ensuring that healthcare workers can not only utilize robotic systems effectively but also articulate their roles and benefits to patients and colleagues alike.

The implications of CRL extend beyond mere technical skills; it serves as a valuable occupational asset that encompasses digital proficiency, ethical awareness, and situational understanding. These elements are critical for supporting patient safety and well-being, particularly in an increasingly automated healthcare environment where the quality of care must remain a top priority.

Looking ahead, the initial conceptualization of CRL provides a framework for future studies, implementation strategies, and product development specific to care robots. As healthcare seeks technologically sound and ethically compliant solutions, CRL is positioned to become an integral part of the terminology and practice surrounding ethical AI in healthcare. 

The Relative Importance of Target and Judge Characteristics in Shaping the Moral Circle

Jaeger, B., & Wilks, M. (2021). 

Cognitive Science. 

https://doi.org/10.31234/osf.io/46kws

Abstract

People's treatment of others (humans, nonhuman animals, or other entities) often depends on whether they think the entity is worthy of moral concern. Recent work has begun to investigate which entities are included in a person's moral circle, examining how certain target characteristics (e.g., species category, perceived intelligence) and judge characteristics (e.g., empathy, political orientation) shape moral inclusion. However, the relative importance of target and judge characteristics in predicting moral inclusion remains unclear. When predicting whether a person will deem an entity worthy of moral consideration, how important is it to know who is making the judgment (i.e., characteristics of the judge), who is being judged (i.e., characteristics of the target), and potential interactions between the two factors? Here, we address this foundational question by conducting a variance component analysis of the moral circle. In two studies with participants from the Netherlands, the United States, the United Kingdom, and Australia (N = 836), we test how much variance in judgments of moral concern is explained by between-target differences, between-judge differences, and by the interaction between the two factors. We consistently find that all three components explain substantial amounts of variance in judgments of moral concern. Our findings provide two important insights. First, an increased focus on interactions between target and judge characteristics is needed, as these interactions explain as much variance as target and judge characteristics separately. Second, any theoretical account that aims to provide an accurate description of moral inclusion needs to consider target characteristics, judge characteristics, and their interaction.

Here is my take:

The authors begin by reviewing the literature on the moral circle, which is the group of beings that people believe are worthy of moral consideration. They note that both target characteristics (e.g., species category, perceived intelligence) and judge characteristics (e.g., empathy, political orientation) have been shown to influence moral inclusion. However, the relative importance of these two types of characteristics remains unclear.

To address this question, the authors conducted two studies with participants from the Netherlands, the United States, the United Kingdom, and Australia. In each study, participants were asked to rate how much moral concern they felt for a variety of targets, including humans, animals, and robots. Participants were also asked to complete a questionnaire about their own moral values and beliefs.

The authors' analysis revealed that both target and judge characteristics explained significant amounts of variance in judgments of moral concern. However, they also found that the interaction between target and judge characteristics was just as important as target and judge characteristics separately. This means that the moral circle is not simply a function of either target or judge characteristics, but rather of the complex interaction between the two.

The authors' findings have important implications for our understanding of the moral circle. They show that moral inclusion is not simply a matter of whether or not a target possesses certain characteristics (e.g., sentience, intelligence). Rather, it also depends on the characteristics of the judge, as well as the interaction between the two.

The authors' findings also have important implications for applied ethics. For example, they suggest that ethicists should be careful to avoid making generalizations about the moral status of entire groups of beings. Instead, they should consider the individual characteristics of both the target and the judge when making moral judgments.

Meaning from movement and stillness: Signatures of coordination dynamics reveal infant agency

Sloan, A. T., Jones, N. A., et al. (2023).

PNAS, 120 (39) e2306732120

https://doi.org/10.1073/pnas.230673212 

Abstract

How do human beings make sense of their relation to the world and realize their ability to effect change? Applying modern concepts and methods of coordination dynamics, we demonstrate that patterns of movement and coordination in 3 to 4-mo-olds may be used to identify states and behavioral phenotypes of emergent agency. By means of a complete coordinative analysis of baby and mobile motion and their interaction, we show that the emergence of agency can take the form of a punctuated self-organizing process, with meaning found both in movement and stillness.

Significance

Revamping one of the earliest paradigms for the investigation of infant learning, and moving beyond reinforcement accounts, we show that the emergence of agency in infants can take the form of a bifurcation or phase transition in a dynamical system that spans the baby, the brain, and the environment. Individual infants navigate functional coupling with the world in different ways, suggesting that behavioral phenotypes of agentive discovery exist—and dynamics provides a means to identify them. This phenotyping method may be useful for identifying babies at risk.

Here is my take:

Importantly, researchers found that the emergence of agency can take the form of a punctuated self-organizing process, with meaning found both in movement and stillness.

The findings of this study suggest that infants are not simply passive observers of the world around them, but rather active participants in their own learning and development. The researchers believe that their work could have implications for the early identification of infants at risk for developmental delays.

Here are some of the key takeaways from the study:

• Infants learn to make sense of their relation to the world through their movement and interaction with their environment.

• The emergence of agency is a punctuated, self-organizing process that occurs in both movement and stillness.

• Individual infants navigate functional coupling with the world in different ways, suggesting that behavioral phenotypes of agentive discovery exist.

• Dynamics provides a means to identify behavioral phenotypes of agentive discovery, which may be useful for identifying babies at risk.

• This study is a significant contribution to our understanding of how infants learn and develop. It provides new insights into the role of movement and stillness in the emergence of agency and consciousness. The findings of this study have the potential to improve our ability to identify and support infants at risk for developmental delays.