How to protect information you use in an AI agent from being shared with other users.
Response written by Gemini AI 06/08/2026
It’s great to have AI as a helper, but once you share your information with AI it’s theirs.
Question:
Does information used by an AI agent, a paper, a report, software programming, calculations for example, get downloaded into the LLM memory and then used by other users? If it does, how can I protect my authorial integrity?
Answer:
The short answer is no, not automatically in real-time, but potentially yes in the long run if you are using standard, free AI tools.
It is completely valid to be protective of your work. When you type an original story into an AI prompt, it doesn’t instantly become part of a public library that another user can access five minutes later. However, the way your data is handled behind the scenes depends heavily on your privacy settings. Here is a breakdown of how it works and exactly how you can lock down your stories to protect your authorial integrity.
1. The Short-Term vs. Long-Term Memory
To protect your work, it helps to understand the two different ways AI “remembers” things:
Short-Term (Context Window): While you and I are chatting right now, the AI “remembers” your story so it can translate it or discuss it. Once this specific conversation is closed or deleted, that short-term memory disappears.
Long-Term (Training Data): By default, many AI companies save user prompts and chat histories to use as training material for future versions of their models. If a company uses your story for training, elements of your plot, style, or characters could theoretically influence how the AI writes for someone else in the future.
2. How to Protect Your Work Right Now
You do not have to stop using AI tools to assist with your writing or translating; you just need to change a few settings. You can completely block AI companies from using your creative writing to train their models.
Turn off “Data Training” in your settings: Every major AI platform (OpenAI, Google, Anthropic) has a privacy section in the settings menu. Look for options like “Data Training,” “Chat History & Privacy,” or “Improve the model for everyone” and turn them off. When you opt out, your chats are processed, but they are never saved to train future models.
Use Temporary Chats: Some platforms offer “Temporary” or “Incognito” chats. These conversations leave no paper trail and are deleted from the company’s servers within 30 days (held only for safety monitoring, not for training).
Use Enterprise or Paid Tiers: If you ever use AI for heavy professional writing, paid team or enterprise accounts usually come with strict contractual privacy agreements that legally forbid the company from using your data for training.
3. Safeguarding Your Copyright
To establish your authorial integrity in the wider world (outside of AI):
Publish a “Timestamped” Version: Publish your story on a personal blog, a social media page, or a platform like Substack under your name. This creates a public, dated paper trail proving you wrote it first.
Copyright Registration: If you plan to sell this story or publish it as a book, you can register it with your country’s copyright office. In the US and many other countries, you own the copyright the moment you write it down, but registration gives you legal teeth if someone tries to steal it.
The Golden Rule: If you are working on a highly sensitive, top-secret project that you want 100% control over, the safest method is to turn off data sharing in your AI settings before pasting your text, or use an offline, local AI model that runs entirely on your own computer.
Clifford A. Hockley is Principal Broker at SVN | Bluestone, as well as the managing member of Cliff Hockley Real Estate Consulting, LLC. As a Certified Property Manager & Designated Managing Broker, Cliff has 42 years of experience in the brokerage and management of Real Estate companies. Bluestone and Hockley Real Estate Services managed condominium associations, multi-family, and commercial properties in the greater Portland area. He was focused on running the company and involved with investment property brokerage. He worked with financial institutions, governmental agencies, private investors, and not for profit organizations. He also has vast knowledge in budgeting, organizational management, and building structures. His previous experience includes over five years in accounting, production supervision for a manufacturing company, and work for state agencies in California.
Cliff grew Bluestone and Hockley Real Estate Services into a 100 employee company that managed over 2 billion dollars of real estate assets before he sold the company in 2021. He also supervised a sales team of over 15 real estate brokers for over 35 years. His monthly newsletter, QuickFacts has over 2,300 subscribers. He has been involved in numerous real estate transactions that include industrial, retail, office, and multifamily properties. Cliff has also written a book called “Successful Real Estate Investing; Invest Wisely, Avoid Costly Mistakes and Make Money” published by Morgan James Publishing in 2019.
Cliff has successfully coached real estate investors and CEOs located throughout the United States since 2015. He has acted as a sounding board to help untangle knotty issues that need an experienced outside opinion. He guides leaders who find it is “lonely at the top” and need an experienced hand to help set a strategic direction, sort out operational problems and want to talk through challenging business decisions.
He has served as an adjunct professor at Portland State University from 2028 – 2021, teaching classes in: Intro to Real Estate, Basic Real Estate Finance, Property Management as well as Real Estate Investment Fundamentals. He has instructed hundreds of students and believes that substantial preparation and active student engagement are crucial for learning and appreciating the field of real estate. Students appreciate his candor and real-world experience.
Among his many civic activities, Cliff served on the Board of Directors for the Portland Chapter of the Institute of Real Estate Management (IREM) and the Rental Housing Alliance of Oregon. In 2014 he was recognized by IREM as board member of the year, and in 2015 he earned an achievement award in brokerage from SVN International. In the years 2000 & 2003, he was recognized by IREM as Certified Property Manager of the Year.
