The “Living guidelines on the responsible use of GAI in research” document outlines key principles for the responsible use of generative AI in research. The main takeaways from the guidelines include:
- Principles for Responsible Use:
- Reliability: Ensuring quality in research design, methodology, analysis, and resource use.
- Honesty: Transparently developing, reviewing, and reporting research, disclosing the use of generative AI.
- Respect: Considering societal, environmental, and ethical implications, managing information, and respecting privacy and intellectual property.
- Accountability: Taking responsibility for research from idea to publication, including wider societal impacts.
- Recommendations for Researchers:
- Remaining responsible for scientific output, maintaining a critical approach to AI tools, and avoiding the use of fabricated material.
- Using generative AI transparently, detailing tools used, ensuring reproducibility, and addressing limitations and biases.
- Paying attention to privacy, confidentiality, and intellectual property rights when sharing sensitive information with AI tools.
- Respecting applicable legislation, avoiding plagiarism, citing work properly, and handling personal data responsibly.
- Continuously learning to maximize benefits of generative AI tools and refraining from using them substantially in sensitive activities.
- Recommendations for Research Organizations:
- Promoting, guiding, and supporting responsible use of generative AI in research activities.
- Monitoring the development and use of generative AI systems within organizations.
These guidelines emphasize the importance of ethical conduct, transparency, accountability, and respect for privacy and intellectual property rights when utilizing generative AI in research endeavors.
AI Advisory Boards 