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Machine ethics. Machine ethics (or machine morality) is the field of research concerned with designing Artificial Moral Agents (AMAs), robots or artificially intelligent computers that behave morally or as though moral. [2][3][4][5] To account for the nature of these agents, it has been suggested to consider certain philosophical ideas, like ...
Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. [1][2] The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations ...
The popularization of generative artificial intelligence apps in education prompted global reconsiderations of policies and procedures relating to plagiarism and other breaches of academic integrity [25] [26] [27]. The impact of large language models (LLMs) has impacted discussions of plagiarism and what constitutes ethical student learning.
The ICMJE recommendations (full title, "Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals") are a set of guidelines produced by the International Committee of Medical Journal Editors for standardising the ethics, preparation and formatting of manuscripts submitted to biomedical journals for publication. [1]
Computer ethics is a part of practical philosophy concerned with how computing professionals should make decisions regarding professional and social conduct. [1]Margaret Anne Pierce, a professor in the Department of Mathematics and Computers at Georgia Southern University has categorized the ethical decisions related to computer technology and usage into three primary influences: [2]
The ISTE Standards (formerly "National Educational Technology Standards", NETS) are a framework for implementing digital strategies in education to positively impact learning, teaching and leading. Along with the standards themselves, ISTE offers information and resources to support understanding and implementation of the standards at a variety ...
The Artificial Intelligence Act (AI Act) [a] is a European Union regulation concerning artificial intelligence (AI). It establishes a common regulatory and legal framework for AI within the European Union (EU). [1] It came into force on 1 August 2024, [2] with provisions coming into operation gradually over the following 6 to 36 months.
AI tools like GitHub Copilot, similar to ChatGPT, have significantly impacted programming by enhancing productivity and influencing developers' perceptions of AI in technical fields. [13] The education technology company Chegg, which was a website dedicated to helping students with assignments using a database of collected worksheets and ...