iAIMS Code of Conduct

The iAIMS community grows strongest when people feel welcome, respected, and encouraged to share what they know. These guidelines describe how we work together to build a supportive and inspiring space for advancing artificial intelligence in multiple sclerosis research and care.

1. Be welcoming and considerate

Create an atmosphere where people feel comfortable joining the conversation. Recognize that members come from many backgrounds and levels of experience, and approach interactions with patience and openness.

2. Communicate with respect

Engage in discussions thoughtfully and focus on ideas rather than individuals. Listen actively, ask clarifying questions, and contribute in ways that help the conversation move forward.

3. Encourage participation from all disciplines

Make room for clinicians, researchers, engineers, statisticians, and others to share their perspectives. Support an environment where everyone feels their expertise is valued.

4. Share knowledge responsibly

Present research, data, and clinical insights clearly and accurately. Be transparent about what is known, what is uncertain, and what requires further work.

5. Protect privacy and confidentiality

Handle all discussions about data or clinical cases with care. Follow ethical and legal standards, and ensure that sensitive or identifiable information is never shared.

6. Support open and fair collaboration

Contribute in ways that promote transparency, reproducibility, and equitable access. Acknowledge the work of others and respect licenses, permissions, and community norms.

7. Foster a positive and inclusive environment

Help create a space where everyone feels safe and respected. Encourage curiosity, celebrate contributions, and model the kind of collaboration you hope to receive in return.

8. Act with integrity

Be honest about your role, your work, and any potential conflicts of interest. Engage with the community in a spirit of shared learning and collective progress.

9. Consider the impact of AI

Think carefully about how AI tools may affect clinical practice and people living with MS. Aim for approaches that are fair, safe, and genuinely helpful.