USask has practical guidance for how principles may be applied in four common roles at USask. Though we recognize that many people at USask hold multiple roles, the guidelines have specific guidance and resources tailored to teaching, learning, research and administration on campus.
1. Ethical and Responsible Use
- Researchers are accountable for the integrity, quality, truthfulness, and accuracy of their output.
- Researchers must recognize that AI outputs are subject to bias, inequities, the generation of misleading information (e.g. literature references that do not exist), and other potential inaccuracies.
- Researchers must recognize that data input into AI data processers may be accessed by others resulting in privacy breaches and/or disclosure of confidential information.
2. Literacy
- Researchers should familiarize themselves with the fundamentals of AI, including its benefits, limitations, and potential applications, as well as its social, cultural, and ethical implications.
3. Change and Innovation
- Researchers must consider the security of AI tools to prevent the leakage, accidental or otherwise, of confidential, proprietary, or sensitive information.
- Researchers must be transparent about their use of AI throughout the research lifecycle.
4. Managing Tool Use
- Each unit at USask should adapt these guidelines to provide discipline-specific guidance for researchers, staff, and students, as needed.
- Researchers should actively engage in monitoring and evaluating the effectiveness and impact of the use of AI in RSAW.