socioemotional goals, particularly those that reveal a bright side of socioemotional wealth, into rules and regulations designed to increase justice in the workplace, which, we argue, contributes to increasing fairness perceptions among employees and to building and maintaining an ethical family business...
are sometimes roughly collected under the label of Trustworthy AI5,6 (also Responsible AI or Ethical AI)—topics such as fairness and bias in ML, and explainability of “black-box” ML models, that focus on possible risks and drawbacks of the use of ML at scale in automated decision ...
Justice as Fairness and the Capability Approach This chapter reconsiders the differences between Amartya Sen's capability approach and John Rawls's justice as fairness approach. Sen's most important critique on Rawlsian justice concerns the inflexibility of social primary goods as the... I Robeyns ...
Using a thematic analysis approach, we coded the following eight values: integrity, good judgment, leadership by example, decision making, trust, justice/fairness, humility, and sense of urgency. We found that while the Aeneid extols ... MJ Ahn,LW Ettner,A Loupin - 《Journal of Leadership ...
that governs the economic analysis of the burden of the tax, which results in confusion and the inability to assess the fairness of the tax as a ... Y Brauner - 《Ssrn Electronic Journal》 被引量: 6发表: 2008年 Reducing Courts' Failure to Appear Rate: A Procedural Justice Approach, Exec...
ethical principles for the distribution and implementation of medical and health benefits based on the unity of formaljusticeand content justice”[55]are pursued; on the other hand, fairness in the medical context is considered to be “the maintenance of justice and equality between doctors and ...
Until now, much of the work on machine learning and health has focused on processes inside the hospital or clinic. However, this represents only a narrow set of tasks and challenges related to health; there is greater potential for impact by leveraging machine learning in health tasks more broa...
It explores different perspectives on justice and responsibility, emphasizing the need for collective action to bring about meaningful change. The author critiques the limitations of Rawlsian political philosophy and calls for a more comprehensive approach to algorithmic fairness. 展开 ...
As artificial intelligence (AI) makes continuous progress to improve quality of care for some patients by leveraging ever increasing amounts of digital health data, others are left behind. Empirical evaluation studies are required to keep biased AI model
SF Brosnan - 《Social Justice Research》 被引量: 237发表: 2006年 Fairness and ethicality in their place: the regional dynamics of fair trade and ethical sourcing agendas in the plantation districts of South India. In this paper we argue for a 'horizontal' approach to the analysis of fair an...