As participants, you are expected to uphold high ethical standards in your projects. These guidelines ensure your AI solutions are responsible and beneficial:

• Fairness: Ensure your AI models do not discriminate against any group based on race, gender, age, or other protected characteristics. Use diverse datasets and consider fairness metrics.
• Transparency: Make your AI systems explainable and understandable. Provide clear documentation on how your model works and makes decisions.
• Accountability: Take responsibility for your AI’s outcomes. Consider potential misuse and implement safeguards to prevent harm.
• Privacy: Respect user privacy and handle data ethically. Ensure compliance with relevant data protection regulations.
• Bias Mitigation: Actively identify and address biases in your data and algorithms. Use techniques like fairness-aware machine learning where applicable.

For additional resources on ethical AI practices, explore IEEE's Ethically Aligned Design or ACM's Code of Ethics.