Some of the most basic and fundamental practices for using AI include, as noted by the University of Maryland:
- Make intentional and transparent decisions on the efficacy and appropriateness of using AI tools in a research activity. Include all stakeholders: co-investigators, advisors, collaborators, funding agencies, developers.
- Follow and regularly consult the established ethical standards as set by the participating institutions involved.
- Regularly evaluate AI output for accuracy and bias.
- Always cite or attribute AI tools utilized.
- Adhere to policies established by journals, funding agencies, and professional societies.
- Adhere and refer to the local institution's data security classification according to level of risk. Confidential or proprietary information should not be input within AI tools.
- Avoid using AI-enabled meeting tools if/when discussing private or sensitive data. Decline participation if you feel uncomfortable or uncertain if such tools are insisted upon.
- Maintain awareness that AI-generated outputs may infringe on third-party intellectual property rights. Focus on utilizing data that is wholly within the public domain or designated as open access.
- Consult with other institutional stakeholders, such as general consul, information technology, library, and educational technology staff when in need of assistance relating to acceptable AI use.
