The statement addresses the responsibilities of machine learning (ML) professionals in communicating the limitations and testing conditions of ML systems to the public. It highlights the importance of transparency and understanding in the field, which are relevant to public discourse on technology and its societal implications.
- The statement does not directly cause harm but emphasizes the importance of proper testing and communication, aligning with the principle of doing no harm. [+1]Principle 1:I will strive to do no harm with my words and actions.
- By encouraging ML professionals to understand how laypeople interpret technical statements, it promotes understanding and empathy. [+2]Principle 3:I will use my words and actions to promote understanding, empathy, and compassion.
- The statement does not engage in personal attacks but rather calls for constructive dialogue and clarity in communication. [+1]Principle 4:I will engage in constructive criticism and dialogue with those in disagreement and will not engage in personal attacks or ad hominem arguments.
- It uses influence to advocate for better communication practices in ML, which can benefit society by improving public understanding of technology. [+2]Principle 6:I will use my influence for the betterment of society.
- The statement upholds free speech by responsibly addressing the need for clarity and transparency in ML communication. [+1]Principle 7:I will uphold the principles of free speech and use my platform responsibly and with integrity.