Reposted by Gary Marcus
The statement addresses the issue of bias in large language models (LLMs) and promotes a research paper that conducts a comprehensive bias audit. It uses hashtags to highlight specific types of bias such as antisemitism, racism, misogyny, and homophobia, and it calls attention to a scholarly work presented at a conference.
- The statement does not appear to cause harm with words and actions. It aims to bring attention to an important issue. [+2]Principle 1:I will strive to do no harm with my words and actions.
- The statement respects the privacy and dignity of others by focusing on systemic issues rather than targeting individuals. [+2]Principle 2:I will respect the privacy and dignity of others and will not engage in cyberbullying, harassment, or hate speech.
- The statement promotes understanding by encouraging readers to engage with a research paper that addresses bias in LLMs. [+2]Principle 3:I will use my words and actions to promote understanding, empathy, and compassion.
- The statement does not engage in personal attacks or ad hominem arguments. It focuses on the issue at hand and invites constructive dialogue through the research paper. [+2]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 uses its platform to highlight an important societal issue, thereby contributing to the betterment of society. [+2]Principle 6:I will use my influence for the betterment of society.
- The statement upholds the principles of free speech and uses its platform responsibly by promoting scholarly work and raising awareness about bias in LLMs. [+2]Principle 7:I will uphold the principles of free speech and use my platform responsibly and with integrity.