The statement engages in a discussion about transparency and scientific rigor within the machine learning community, specifically addressing the importance of replicability and proper evaluation methods. It supports the call for transparency and proper scientific practices, referencing a replicability checklist as a tool for ensuring these standards.
Principle 1:
I will strive to do no harm with my words and actions.The statement promotes transparency and proper science, which aligns with the principle of doing no harm by advocating for ethical scientific practices.
[+1]Principle 3:
I will use my words and actions to promote understanding, empathy, and compassion.By appreciating voices within the community that insist on transparency, the statement promotes understanding and empathy towards the need for rigorous scientific standards.
[+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.The statement engages in constructive dialogue by referencing a replicability checklist and does not engage in personal attacks, thus adhering to this principle.
[+1]Principle 6:
I will use my influence for the betterment of society.The statement uses its influence to advocate for better scientific practices, contributing to the betterment of society by promoting transparency and replicability in research.
[+1]Principle 7:
I will uphold the principles of free speech and use my platform responsibly and with integrity.The statement upholds free speech by responsibly using its platform to discuss important issues in the ML community.
[+1]