Never Type These Five Things Into AI

The provided sources examine the complex ethical, security, and professional implications of artificial intelligence in modern society. Practical guides emphasize data privacy best practices, advising users to treat public AI as a public forum and avoid sharing sensitive financial, medical, or proprietary information. Meanwhile, organizational frameworks from NIST provide structured methods for institutions to map, measure, and manage the unique risks associated with automated systems to ensure they remain safe and trustworthy. In academic settings, discussions highlight the tensions regarding transparency, focusing on whether scholars and students should disclose AI assistance in their research and writing. Collectively, these texts advocate for a vigilant and responsible approach to AI, balancing its immense utility with the need for human oversight and rigorous digital hygiene.