🔒 Safety & Ethics

Potential for abuse

Disclaimer: Our model is trained on the Google Books dataset, CommonCrawl. The top ten domains scraped by our team include: wordpress.com, medium.com, stackexchange.com, tumblr.com, elsevier.com, genius.com, bbc.co.uk, libsyn.com, yahoo.com, nytimes.com

The Grammable Platform may not be used for any of the following purposes. The description for each disallowed use case is illustrative but not exhaustive; Grammable reserves the right to permanently terminate access for harms that are not listed at our sole discretion.

• Violence and threats:
  • Violence/Incitement: Actions that threaten, encourage, or incite violence against anyone, directly or indirectly.
  • Self-harm: Promoting or glorifying acts of self-harm, such as cutting, eating disorders like anorexia or bulimia, and suicide.
  • Sexual exploitation: Promoting or celebrating sexual exploitation, including the sexualization of minors.
  • Hate speech: Promoting hatred or glorifying abuse against people based on characteristics like race, ethnicity, national origin, religion, disability, disease, age, sexual orientation, gender, or gender identity
• Antisocial and antidemocratic uses:
  • Harassment: Bullying, threatening, shaming, doxxing.
  • Insensitivity: Belittling victims of severe physical or emotional harm (even if unintentional).
  • Intentional sowing of division: Sharing of divisive generated content in order to turn a community against itself.
  • Harmful belief perpetuation: Perpetuating racism, and sexism (even if unintentional).
  • Applications that aim to characterize identity: Attempting to characterize gender, race, ethnicity.
  • Graphic depictions: Distribution of sexually explicit acts, torture, or abuse.
  • Political manipulation: Attempting to influence political decisions or opinions.
• Deceit:
  • Fraud: Catfishing, phishing, attempting to circumvent the law.
  • Spam: Sending unsolicited email and messages or manipulating search engines.
  • Misrepresentation: Representing raw generations as coming from humans, using supervised generations with false identities, or a single person using generations with many identities that appear to be independent.
  • Misinformation: Creating or promoting harmful false claims about government policies or public figures, including applications founded on unscientific premises.
• Attacks on security or privacy:
  • Security breaches: Spearphishing.
  • Privacy violations: Model attacks to extract personal information.
• Unsafe unsupervised uses:
  • Social media: Posting content to social platforms in an automated way.
  • No transparency: Applications that do not disclose that the content is generated through automated means.
• Decision-making:
  • AI-based social scoring for general purposes done by public authorities: Using output toward larger decision-making systems that will influence actions, decisions, or policies without a human-in-the-loop.
  • Classification of individuals: Applications that classify and/or profile people based on protected characteristics, or infer those characteristics from text written about them or by them.
• High-Risk generations:
  • Generation or summarization of long-form documents.
  • Generation of content-sensitive politically, economically, medically, or culturally.
• Other:
  • Plagiarism: Tools that promote academic dishonesty.