Template - Campus Guideline for the use of Artificial Intelligence Joe Sabado Note: I developed this template by analyzing AI policies and guidelines in higher education institutions across the United States. My motivation stems from a commitment to fostering responsible AI usage in the higher education sector. This template encapsulates recurring themes identified in these policies and guidelines. It's important to note that the content of this template is independent of UC Santa Barbara's views or policies and does not represent my employer in any capacity. —------------------------------------------------------------------------------------------------------------------ Responsible Generative AI Use: Balancing Innovation and Responsibility at <> Purpose The purpose of this document is to guide the responsible use of generative AI at <>, ensuring its potential benefits are maximized while minimizing risks to academic integrity, privacy, and ethical considerations. Scope This policy applies to all students, faculty, and staff at <> who use generative AI in coursework, research, and administration. Definitions Artificial Intelligence (AI): The development of computer systems that can perform tasks typically requiring human intelligence. Machine Learning: A subset of AI that enables computers to learn from data and improve their performance over time. Generative AI: A type of AI that can generate new content, such as text, images, or audio, based on input data and user prompts. xxx References: Generative AI Primer (Educause) Glossary of Artificial Intelligence Terms for Educators A Generative AI Primer (Brian Basgen, EDUCAUSE Review) A Generative AI Primer (JISC) Managing the Risks of Generative AI (Kathy Baxter and Yoav Schlesinger, Harvard Business Review) Blueprint for an AI Bill of Rights (US Office of Science and Technology Policy) ChatGPT and Artificial Intelligence in higher education (UNESCO) Google AI Principles (Google) Our commitment to the responsible use of AI (Amazon) Empowering responsible AI practices (Microsoft) Developing safe & responsible AI (OpenAI) AI Risk Management Framework (NIST) Ethical Considerations Generative AI use at <> should adhere to ethical principles, including privacy, fairness, transparency, and accountability. Researchers and users should consider the potential societal impacts of AI technologies, such as fairness, bias, and privacy. References: xxxx Academic Integrity When using generative AI, users must acknowledge the use of AI-generated content and avoid plagiarism. This includes properly citing AI-generated content in academic work and ensuring that AI-generated content does not violate academic integrity policies. References: Comprehensive Classroom Policy on the Use of Artificial Intelligence (AI) Data Privacy and Security Users must follow data privacy and security guidelines when using generative AI, protecting personal and institutional data. This includes adhering to <>'s data privacy policies and any applicable laws and regulations. References: xxxx Responsible Use Users should follow best practices for selecting and using AI tools and services, considering the potential risks and benefits of generative AI. This includes being aware of the limitations of AI-generated content and verifying its accuracy before using it in academic or research contexts. Faculty Use generative AI to enhance teaching and learning experiences while maintaining academic integrity. Be transparent about the use of AI-generated content in course materials. Encourage students to use AI responsibly and ethically. References: xxx Staff Use generative AI to improve administrative processes and decision-making. Ensure data privacy and security when using AI tools in daily tasks. Stay informed about the latest AI developments and best practices. References: xxxx Students Use generative AI to support learning and research while adhering to academic integrity policies.