Guiding principles on generative artificial intelligence
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Guidelines for Generative AI Use in Schools, Companies, and Government
Guiding principles
Schools
- Harvard University Information Technology (n.d.). Generative Artificial Intelligence (AI) Guidelines
- National Taiwan Normal University (n.d.). NTNU - Learning Applications and Reference Guidelines for Generative AI - Center for Teaching and Learning Development
- National Taiwan University (n.d.). Teaching Response Measures for Generative AI Tools by Office of Academic Affairs Teaching Development Center x Digital Learning Center
- National Taiwan University (2023). How to Cite ChatGPT Generated Content? - National Taiwan University Library Reference Service Blog
- National Tsing Hua University (2023). Generative Artificial Intelligence Ethics Statement
- National Taipei University of Technology (2023). Teaching Reference Guidelines for Generative AI Tools
Enterprises
- Institute for Information Industry (2023). download.aspx?dpsqno=26 2023 Enterprise AI Literacy - Generative AI Implementation Guidelines
- III Software Institute (2024). download.aspx?dpsqno=35 Enterprise Brain Development Guidelines for Generative AI
- Opportunities and Challenges of Generative AI - Industrial Technology and Information Monthly - Publications - News Center - Industrial Technology Research Institute mentions partial content of Generative AI (GAI) usage guidelines
Non-profit Organizations (NGO, NPO)
Government Agencies and Institutions
- Executive Yuan (2023). Reference Guidelines for Using Generative AI in Executive Yuan and Affiliated Agencies - National Science and Technology Council[1]
- Ministry of Digital Affairs (2025). Public Sector Artificial Intelligence Application Reference Manual (Draft) | Digital Government Reference Documents - Digital Government - Core Business | moda — Ministry of Digital Affairs
Media
- News&Market (2024). News&Market Generative Artificial Intelligence (AI) Usage Guidelines | News&Market
Related Articles
- What is Responsible AI - Azure Machine Learning | Microsoft Learn
- Microsoft Responsible AI Transparency Report | Microsoft CSR
- Transparency Note for Azure OpenAI - Azure AI services | Microsoft Learn
- Google Responsible AI Practices – Google AI
- Data privacy in Large Language Models
Related Keywords
- Trustworthy AI Principles
- Reliable AI
Related Regulations and Standards
- EU Artificial Intelligence Act | Up-to-date developments and analyses of the EU AI Act
- China Interim Measures for the Management of Generative AI Services - Wikipedia (生成式人工智慧服務管理暫行辦法_中央網路安全和資訊化委員會辦公室)
- ISO/IEC 42001:2023 - AI management systems