ASU guidelines and policies
ASU guidelines are formal statements of intent that reflect ASU’s goals and objectives. ASU policies communicate the requirements and expectations of the ASU community.
Generative AI has the potential to address some of the biggest challenges in education today. Nonetheless, as educators and students, we face a new frontier as we navigate a world in which the distinction between content generated by AI and humans is rapidly blurring. To support these conversations, please visit the Provost resource page.
View the AI tools that have completed the ASU VITRA process and are approved for use at the departmental level. If a department would like to use these tools, their department can submit an assessment request in accordance with their standard process.
Before using any AI tools, please review the AI Digital Trust guidelines to ensure you understand the responsibilities and expectations for data privacy, copyright, and intellectual property protections at ASU.
Arizona State University is committed to the practice of Principled Innovation, embracing innovation with curiosity and wisdom.
During a Summer Series of Digital Trust in AI conversations, individuals from across the campus were brought together to identify appropriate considerations for the use of Generative Artificial Intelligence (genAI) at ASU. This group assembled guidelines that have been reviewed and approved by Enterprise Technology Digital Trust, Cybersecurity, AI Acceleration, Learning Experience and the Office of General Council.
While it cannot predict every part of your career journey, Generative AI can offer a great starting point when it comes to research. It can help you explore careers relating to your interests and job searching methods, prepare for an interview and even tailor your resume to apply to specific positions. Interested in learning more about how AI can assist professional development? Read more about ASU Career Services' recommendations for AI use by visiting their website today.
While AI tools can serve as a springboard for creativity and content generation, we must be aware of the potential risks, including the inadvertent disclosure of proprietary or confidential institutional data, violations of university policy, or violations of state and federal laws.
As you enhance your workflows with AI models, please review our brand execution guidelines to ensure your work is in alignment with ASU policies and best practices.