Code of Conduct
Code of Conduct
We, as AI startup builders, are committed to developing and deploying responsible and ethical AI technology, while protecting the rights of individuals and respecting the safety and security of everyone. To this end, we agree to adhere to the following code of conduct:
1. Respect the rights of individuals: We will respect the rights of individuals and their right to privacy, and handle all user data with the utmost care and respect.
2. Act responsibly: We will use our technology responsibly, avoiding any potential harm or exploitation of individuals or society.
3. Be transparent: We will be transparent about the use of our technology, its potential implications, and any risks associated with it.
4. Provide explanations: We will provide explanations for decisions made by our technology to ensure an understanding of how the technology works and how decisions are made.
5. Strive for fairness: We will strive for fairness, avoiding any potential bias or discrimination in the use of our technology.
6. Aim for accuracy: We will aim for accuracy and reliability in our technology, striving to reduce errors and inaccuracies.
7. Foster trust: We will foster trust in our technology, communicating openly and engaging with stakeholders to ensure that our technology is deployed responsibly.
8. Monitor outcomes: We will monitor the outcomes of our technology, assessing whether it is achieving its intended goals and making adjustments where necessary.
9. Protect data: We will protect the data used to train and develop our technology, ensuring that it is collected and used responsibly and securely.
10. Promote education: We will promote the responsible use of our technology, educating stakeholders on potential implications and risks.
11. Prohibit misuse: We will publish usage guidelines and terms of use that prohibit material harm to individuals, communities, and society, such as through spam, fraud, or astroturfing.
12. Mitigate unintentional harm: We will proactively mitigate harmful model behavior by assessing limitations, minimizing sources of bias in training data, and learning from human feedback.
13. Thoughtfully collaborate with stakeholders: We will build teams with diverse backgrounds and solicit input from a wide range of stakeholders, including those from different communities and cultures.
14. Disclose lessons learned: We will publicly disclose lessons learned about LLM safety and misuse to enable widespread adoption and help with cross-industry iteration on best practices.
15. Respect for labor: We will treat all labor in the language model supply chain with respect, including those reviewing model outputs in-house and vendors.
16. Adhere to applicable laws and regulations: We will comply with all applicable laws and regulations in the development and deployment of our AI systems.
17. Establish responsible AI governance: We will establish internal governance systems to ensure the responsible use of AI and to adhere to the principles of this code of conduct.