In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on AI Ethics Principles. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of Actionable Principles for AI. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commissions High Level Expert Group on AI. Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of Actionable Principles for AI. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability.
Enjeux éthiques de l'IA en santé : une humanisation du parcours de soin par l'intelligence artificielle ?
考虑到使用人工智能来实现患者护理的更大个性化以及更好地管理人力和物力资源，这似乎是一个不容错过的机会。为了提供更人性化的护理途径，人工智能是医院部门决策者必须通过关注该技术产生的新道德问题和价值观冲突来适当使用的工具。Envisager le recours à l'intelligence artificielle pour une plus personnalisation de la prise en charge du patient et une meilleure gestion des resources humaines et matérielles peut sembler une opportunité à ne pas manquer.由于提出了一个更好的人性化的治疗方案，人工智能是一种方法，使医院环境中的决策者能够适当地利用这种技术产生的新的伦理学和价值冲突。
Characterizing Financial Market Coverage using Artificial Intelligence
LICEF Research Center, Université TÉLUQ（魁北克大学远程教育大学LICEF研究中心）；LORIA, Université de Lorraine（洛林大学洛林计算机科学及其应用实验室）；Université de Sherbrooke（舍布鲁克大学）；Laplace Insights（拉普拉斯洞察公司）
Bridging the Divide: Gender, Diversity, and Inclusion Gaps in Data Science and Artificial Intelligence Across Academia and Industry in the majority and minority worlds
