An Ethical Foundation for Social Good: Virtue Theory and Solidarity

Garlington, Sarah B.; Collins, Mary Elizabeth; Bossaller, Margaret R. Durham

doi:10.1177/1049731519863487

Cited by 9 publications

(4 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Social good is for example described as achieving "human well-being on a large scale" [83], although no one definition is accepted. The concept of "social good" is applied to many areas such as education [84,85] (wherein, education is changing the meaning of "social good" [86]), water [87], health [88], food [89], meaningful work [90], healthcare [91], and sustainability [92].…”

Section: The Issue Of Social Goodmentioning

confidence: 99%

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Lillywhite

Wolbring

2020

Societies

View full text Add to dashboard Cite

Artificial intelligence (AI) and machine learning (ML) advancements increasingly impact society and AI/ML ethics and governance discourses have emerged. Various countries have established AI/ML strategies. “AI for good” and “AI for social good” are just two discourses that focus on using AI/ML in a positive way. Disabled people are impacted by AI/ML in many ways such as potential therapeutic and non-therapeutic users of AI/ML advanced products and processes and by the changing societal parameters enabled by AI/ML advancements. They are impacted by AI/ML ethics and governance discussions and discussions around the use of AI/ML for good and social good. Using identity, role, and stakeholder theories as our lenses, the aim of our scoping review is to identify and analyze to what extent, and how, AI/ML focused academic literature, Canadian newspapers, and Twitter tweets engage with disabled people. Performing manifest coding of the presence of the terms “AI”, or “artificial intelligence” or “machine learning” in conjunction with the term “patient”, or “disabled people” or “people with disabilities” we found that the term “patient” was used 20 times more than the terms “disabled people” and “people with disabilities” together to identify disabled people within the AI/ML literature covered. As to the downloaded 1540 academic abstracts, 234 full-text Canadian English language newspaper articles and 2879 tweets containing at least one of 58 terms used to depict disabled people (excluding the term patient) and the three AI terms, we found that health was one major focus, that the social good/for good discourse was not mentioned in relation to disabled people, that the tone of AI/ML coverage was mostly techno-optimistic and that disabled people were mostly engaged with in their role of being therapeutic or non-therapeutic users of AI/ML influenced products. Problems with AI/ML were mentioned in relation to the user having a bodily problem, the usability of AI/ML influenced technologies, and problems disabled people face accessing such technologies. Problems caused for disabled people by AI/ML advancements, such as changing occupational landscapes, were not mentioned. Disabled people were not covered as knowledge producers or influencers of AI/ML discourses including AI/ML governance and ethics discourses. Our findings suggest that AI/ML coverage must change, if disabled people are to become meaningful contributors to, and beneficiaries of, discussions around AI/ML.

show abstract

Section: The Issue Of Social Goodmentioning

confidence: 99%

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Lillywhite

Wolbring

2020

Societies

View full text Add to dashboard Cite

show abstract

“…The concept of virtue theory dates back to the ancient Greek period when people were interested in exploring how individuals could integrate virtues such as honesty, kindness, fairness, and truthfulness into their characters (Garlington et al, 2020). Virtue ethics places greater importance on being a good person than simply performing good deeds.…”

Section: Literature Reviewmentioning

confidence: 99%

Incentivised dishonesty: Moral frameworks underlying fake online reviews

Victor,

James,

Dominic

2024

Int J Consumer Studies

View full text Add to dashboard Cite

Feedback mechanisms, such as customer reviews and ratings, are essential for making informed decisions on online platforms, particularly in the presence of asymmetric information. However, the practice of reward‐based reviews is on the rise in online platforms, where sellers incentivise buyers to give biased feedback (e.g., 5‐star ratings) regardless of the quality of the products. This study intends to determine whether financial incentives motivate people to award dishonest ratings and explore the moral heuristics underlying this motivation. Using a hypothetical purchase scenario, responses were elicited from 411 participants and the Philosophical Moral Framework Measure (PMFM) was used to identify the moral frameworks that underlie the reported self‐interested behaviour. The findings reveal that the likelihood of giving fake reviews increases with an increase in financial incentives. The dominant moral framework of those who accepted the cashback offer is utilitarianism and egoism, whereas those who declined the offer primarily have deontology and virtue theory as dominant frameworks. The results also indicate that men and young individuals are more likely to give dishonest feedback. These findings not only advance the understanding of the interplay between financial incentives and self‐interested behaviour but also aid in identifying the moral frameworks underlying self‐interested behaviour.

show abstract

“…that cause harm – a frame based on human dignity and not on material criteria (e.g., financial gain). “Being in suffering with” is the foundation for interventions to address the suffering (whether restorative or palliative), along with the necessity of connecting with the dignity and suffering of populations (Garlington, Collins, & Bossaller, 2019).…”

Section: Virtue Ethics: Compassion Solidarity and Justicementioning

confidence: 99%

“…Relationship is necessary to aid those in need of assistance, beyond a transactional moment of one individual (or group) providing for another: “Compassion requires a particular relationship with the other, recognizing and engaging a suffering person’s or group’s humanity” (Garlington et al, 2019, p. 3). Acting out of solidarity requires this relationship to be grounded in a shared humanity.…”

Section: Virtue Ethics: Compassion Solidarity and Justicementioning

confidence: 99%

Addressing environmental justice: Virtue ethics, social work, and social welfare

Garlington

Collins

2020

Int J Soc Welfare

Self Cite

View full text Add to dashboard Cite

Global environmental concerns are fundamental to the human condition and consequently to the social work profession. These complex issues require “big thinking.” In this article, we use virtue theory and two major social work contributions in order to grapple with understanding and addressing environmental justice. Key virtues of compassion, solidarity, and justice in social work are especially effective as an underpinning of social work interventions at community and policy levels. To further develop this work, the article focuses on: (i) identifying environmental justice as a social work concern; (ii) describing the virtues and ethical frame of compassion, solidarity, and justice; (iii) applying this frame using the Grand Challenge of the changing environment and the Global Agenda For Social Work And Social Development report; and (iv) identifying the role of religious partners in this work. To effectively engage in environmental justice, social work requires broad conceptual thinking, strong ethical frames, and enhanced cooperative networks.

show abstract

An Ethical Foundation for Social Good: Virtue Theory and Solidarity

Cited by 9 publications

References 37 publications

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Incentivised dishonesty: Moral frameworks underlying fake online reviews

Addressing environmental justice: Virtue ethics, social work, and social welfare

Contact Info

Product

Resources

About