By examining how cultural values shape business students’ perceptions of the ethical use of AI tools (AIT) in higher education, this study aims to assess students’ understanding of ethical AIT usage and identify areas where ethical guidelines need reinforcement. This approach ensures that future ...
To address this issue, we have released a comprehensive checklist titled ‘Ethical use of AI in peer review: A comprehensive checklist for reviewers.’ The checklist consolidates the latest guidelines on AI usage in peer review from ICJME, Taylor Francis, Elsevier, JMIR, Elsevier, Dove press, ...
This paper engages with this challenge through the analysis of existing research governance material, by investigating the resources that researchers and research ethics committees (RECs) draw upon in articulating and navigating ethical issues arising out of AI-related research. Resources, such as formali...
Artificial intelligence (AI) ethics is now a global topic of discussion in academic and policy circles. At least 84 public–private initiatives have produced statements describing high-level principles, values and other tenets to guide the ethical development, deployment and governance of AI. According...
Since the rise of AI, the functioning part of any department has been transformed, and generating content through AI exceeds all. Whether chatbots offering instant client service solutions or AI tools drafting essays, articles, and more, as far as the technology moves, it brought convenience. Ho...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning - EthicalML/awesome-production-machine-learning
The current research investigates the complex interplay between artificial intelligence (AI)-induced job insecurity, psychological contract breach (PCB), pro-environmental behavior at work (PEBW), and ethical leadership in the context of organizational sustainability. As AI technologies increasingly permeate...
This paper evaluates the status of reporting information related to the usage and ethical issues of artificial intelligence (AI) procedures in clinical trial (CT) papers focussed on radiology issues as well as other (non-trial) original radiology articles (OA). Material and Methods. The evaluation...
1. Frameworks for Responsible AI Usage AI ethics provide guardrails for AI systems to be designed and used in ways that are fair, accountable and transparent. Key frameworks include: Fairness: AI systems must avoid biases that can lead to unfair treatment of individuals or groups. This involves...
5. Ethical Usage and Representation of Data The ethical use and portrayal of student data are extremely important when incorporating AI into learning management systems (LMS). Educational institutions must follow guidelines when utilizing student information to make data-driven decisions and implement inte...