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Guidelines on Responsible Use of Generative AI at AUC

Generative AI is a rapidly evolving type of artificial intelligence that uses advanced algorithms to generate text, images, audio, video, music, content, and much more based on inputs or prompts. These tools learn patterns and structures from input data and use that knowledge to generate new, similar content. AUC recognizes AI's transformative potential for how we teach, learn, work, and conduct research, while ensuring we remain true to our core values, stay accountable, and use AI ethically and responsibly. 

These guidelines are intended to enable responsible and ethical AI use and experimentation while ensuring information security, data privacy, and compliance with existing policies and best practices. As AI continues to evolve, these guidelines will be updated regularly. 


Data Protection

AI users must be mindful of policies that govern privacy protection, confidentiality, data security and copyright. All use of University data in AI tools is subject to AUC data classification tiers:

  • AUC Public data may be used in any AI tool. 

  • AUC Internal data may be used only in University-approved tools. 

  • AUC Protected data may only be used in University-approved environments. 

  • AUC Restricted data may not be entered into any AI tool unless the environment is University-approved. 

Data use is governed by AUC’s Data Privacy Policy and the Data Governance Policy and Data Classification Standard. AI tools must process personal data in accordance with University policies and applicable data protection laws. 


Core Principles for Use of AI

AUC’s AI strategy framework is underpinned by seven core principles that guide all decisions and actions related to AI use.  They ensure that AI is integrated responsibly and purposefully, with a focus on accountability, while remaining mindful of risk to users and the institution.

Mission alignment. All AI-related decisions and recommendations should support the university's core mission and values. AI is not adopted for its own sake but in service of what the institution does.

Human-centered by design. AI tools and applications are driven and overseen by humans. Human judgment, oversight, and accountability must be central to all applications since AI outputs can be inaccurate and biased.

AI literacy as a foundation. Critical AI literacy is a prerequisite for any meaningful engagement with these technologies. The University has a responsibility to build that literacy across all groups in the campus community.

Ethical use. All AI use must be ethical, fair, transparent and responsible, with particular attention to data bias, privacy and security, academic integrity and disclosure.

Transformational purpose. AI use carries both significant potential and real risks. Any use of AI should produce a demonstrable positive impact on teaching, learning, research or operations. 

Adaptability. Given the pace of AI development, frameworks and guidelines must be flexible enough to serve different purposes, user groups, and contexts.

Continuous improvement. No framework or policy will be final. As AI continues to evolve and we gain more understanding, our approach, policies, and guidelines will evolve.