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Sunday, October 27, 2024

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

Turja, T., et al.
AI Ethics (2024). 

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.