Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots

Umbrello, Steven; Capasso, Marianna; Balistreri, Maurizio; Pirni, Alberto; Merenda, Federica

doi:10.1007/s11023-021-09561-y

Cited by 26 publications

(15 citation statements)

References 53 publications

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“…van Wynsberghe’s CCVSD makes major strides in translating care ethics into a practical framework and has subsequently been taken up by other technology researchers focused mostly on care robots ( Poulsen & Burmeister, 2019 ; Umbrello et al, 2021 ). However, CCVSD draws on a specific selection of care ethics literature with the explicate intention to create a design methodology, often with a focus on care robots.…”

Section: Part Two: a Different Voicementioning

confidence: 99%

“…Building on Tronto's work, CCVSD provides a framework so that the values of attentiveness, responsibility, competency, and responsiveness can guide the evaluation and design of robots (Van Wynsberghe, 2013). van Wynsberghe's CCVSD makes major strides in translating care ethics into a practical framework and has subsequently been taken up by other technology researchers focused mostly on care robots ( Poulsen & Burmeister, 2019;Umbrello et al, 2021). However, CCVSD draws on a specific selection of care ethics literature with the explicate intention to create a design methodology, often with a focus on care robots.…”

Section: Contemporary Variationsmentioning

confidence: 99%

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Care Ethics and the Future of Work: a Different Voice

Ley

2023

Philos. Technol.

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The discourse on the future of work should learn from a turn in philosophy that occurred in the 1980s, one that recognizes the good life towards which ethics strives can only be reached on a foundation of caring relationships (Gillian, 1982; Noddings, 1984). Care ethics recognizes that human well-being is a group project, one that involves strong relationships, and concern for bodies and emotions. Too often, these features are left out of research exploring robotics in the workplace. This paper outlines the main tenets of care ethics, then applies the moral framework to the context of industrial and retail settings using robots. This approach sees these contexts through a relational lens, helping to identify, evaluate, and improve relationships critical to ensuring workers’ well-being. Second, care ethics considers taking care of people’s bodies beyond mere safety, examining how working with robots can exacerbate societal or economic pressures. Lastly, care ethics takes emotions as an important source of knowledge in building and supporting care. Additionally, this paper contributes to the care ethics literature by applying the framework to the context of robotized industrial workplaces, which has yet to be done.

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Section: Part Two: a Different Voicementioning

confidence: 99%

Section: Contemporary Variationsmentioning

confidence: 99%

Care Ethics and the Future of Work: a Different Voice

Ley

2023

Philos. Technol.

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“…22 Safe and effective implementation of ethical considerations into devices and their use may be achieved by embedding ethical values in the total product life-cycle. Targets in development are intended use, requirements, design, and architecture (48,49). Various approaches comprise integrating ethics in structures and processes in development (50), embedding micro-ethics and virtues into data science (51) and enforcing ethical safety and trust by improving regulation (52).…”

Section: Specific Risks By Artificial Intelligence and Machine Learni...mentioning

confidence: 99%

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

Wellnhofer

2022

Front. Cardiovasc. Med.

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Recent progress in digital health data recording, advances in computing power, and methodological approaches that extract information from data as artificial intelligence are expected to have a disruptive impact on technology in medicine. One of the potential benefits is the ability to extract new and essential insights from the vast amount of data generated during health care delivery every day. Cardiovascular imaging is boosted by new intelligent automatic methods to manage, process, segment, and analyze petabytes of image data exceeding historical manual capacities. Algorithms that learn from data raise new challenges for regulatory bodies. Partially autonomous behavior and adaptive modifications and a lack of transparency in deriving evidence from complex data pose considerable problems. Controlling new technologies requires new controlling techniques and ongoing regulatory research. All stakeholders must participate in the quest to find a fair balance between innovation and regulation. The regulatory approach to artificial intelligence must be risk-based and resilient. A focus on unknown emerging risks demands continuous surveillance and clinical evaluation during the total product life cycle. Since learning algorithms are data-driven, high-quality data is fundamental for good machine learning practice. Mining, processing, validation, governance, and data control must account for bias, error, inappropriate use, drifts, and shifts, particularly in real-world data. Regulators worldwide are tackling twenty-first century challenges raised by “learning” medical devices. Ethical concerns and regulatory approaches are presented. The paper concludes with a discussion on the future of responsible artificial intelligence.

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“…Umbrello et al put designing technology for human values at the top of the value quest, effectively participating in the traditional path of designing for the values of minority actors [63]. Umbrello et al claim autonomy and vulnerability are the two crucial issues to be discussed for the receiver; however, the VSD-AI4SG achieves autonomy based on the premise that human autonomy is the "balance" between the possibility of choice and delegation of decision-making, with the key value pursuit being to "promote autonomy".…”

Section: Externalism: Value-sensitive Design (Vsd)mentioning

confidence: 99%

“…Umbrello and van de Poel discussed how in under-supervised or unsupervised learning, the ethical bias can be eliminated either by removing the potential variable or by eliminating the proxy variable, but these bias-eliminating strategies adopted in the machine-learning process can still leave the designer unable to predict the machine's possible problems and may also expose users to algorithmic black-boxes and generate distrust. Fairness and explicability are targeted solutions to these two problems [63]. However, an apparent difference between CCVSDs and the traditional VSD approach stems from the addition of AI as an autonomous factor.…”

Section: Interactive-distance-oriented Flexible Designmentioning

confidence: 99%

The Ethical Governance for the Vulnerability of Care Robots: Interactive-Distance-Oriented Flexible Design

Zhang

2022

Sustainability

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The application of caring robots is currently a widely accepted solution to the problem of aging. However, for the elderly groups who live in gregarious residences and share intelligence devices, caring robots will cause intimacy and assistance dilemmas in the relationship between humans and non-human agencies. This is an information-assisted machine setting, with resulting design ethics issues brought about by the binary values of human and machine, body and mind. The “vulnerability” in risk ethics demonstrates that the ethical problems of human institutions stem from the increase of dependence and the obstruction of intimacy, which are essentially caused by the increased degree of ethical risk exposure and the restriction of agency. Based on value-sensitive design, caring ethics and machine ethics, this paper proposes a flexible design with the interaction-distance-oriented concept, and reprograms the ethical design of caring robots with intentional distance, representational distance and interpretive distance as indicators. The main purpose is to advocate a new type of human-machine interaction relationship emphasizing diversity and physical interaction.

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Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots

Cited by 26 publications

References 53 publications

Care Ethics and the Future of Work: a Different Voice

Care Ethics and the Future of Work: a Different Voice

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

The Ethical Governance for the Vulnerability of Care Robots: Interactive-Distance-Oriented Flexible Design

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