AI Privacy

PRIVACY:
Deliberately Safeguarding Privacy & Confidentiality in the Era of AI
A Library 2.0 "AI Webinar" with Reed Hepler

OVERVIEW: 

In a time when powerful AI tools are rapidly reshaping how we interact with information, it is more important than ever to take a proactive approach to personal and institutional privacy. This session focuses on the realities and risks of data sharing with generative AI tools, whether intentional or inadvertent. We will explore how sensitive information can be exposed, extrapolated, and potentially misused, even when users believe their data is protected.

Through real-world cautionary tales and critical examination of privacy laws and ethical pitfalls, participants will learn about:

  • The ways AI can infer and extrapolate sensitive information from user interactions—sometimes beyond what is directly provided.
  • The legal and ethical hurdles surrounding privacy protections, including challenges in recognizing and proving privacy harms.
  • Best practices for anonymizing or minimizing data shared with AI, applying the principles of data minimization, least privilege, and informed consent.
  • Strategies for both organizations and individuals to safeguard private and sensitive information, such as implementing rigorous access controls, relying on synthetic data, and maintaining vigilant data governance practices.

This interactive session is designed to challenge assumptions, highlight practical steps, and empower you to take deliberate control over privacy in your engagement with generative AI. By the end, you will be equipped to adopt a more privacy-conscious approach—balancing the benefits of AI with an unwavering commitment to ethical data stewardship.

LEARNING OUTCOMES:

    • Examine the various harms that privacy violations can cause when interacting with technology.
    • Describe specific strategies for protecting confidentiality.
    • Describe how to help library workers, patrons, and students protect their privacy when interacting with genAI tools.
    • Cite specific examples of AI tools’ fallibility.
    • Develop an explanation for patrons at the various hazards AI users face related to privacy and confidentiality violations.

This 60-minute online webinar is part of our Library 2.0 AI Series. The recording and presentation slides will be available to all who register.

DATE: Tuesday, October 7th, 2025, 2:00 - 3:00 pm US - Eastern Time

COST:

  • $99/person - includes live attendance and any-time access to the recording and the presentation slides and receiving a participation certificate. To arrange group discounts (see below), to submit a purchase order, or for any registration difficulties or questions, email admin@library20.com.

TO REGISTER: 

Email address of attendee:

Use the payment box above to register and pay. You can pay by credit card. You will receive an email within a day with information on how to attend the webinar live and how you can access the permanent webinar recording. If you are paying for someone else to attend, you'll be prompted to send an email to admin@library20.com with the name and email address of the actual attendee.

If you need to be invoiced or pay by check, if you have any trouble registering for a webinar, or if you have any questions, please email admin@library20.com.

NOTE: please check your spam folder if you don't receive your confirmation email within a day.

SPECIAL GROUP RATES (email admin@library20.com to arrange):

  • Multiple individual log-ins and access from the same organization paid together: $75 each for 3+ registrations, $65 each for 5+ registrations. Unlimited and non-expiring access for those log-ins.
  • The ability to show the webinar (live or recorded) to a group located in the same physical location or in the same virtual meeting from one log-in: $299.
  • Large-scale institutional access for viewing with individual login capability: $499 (hosted either at Learning Revolution or in Niche Academy). Unlimited and non-expiring access for those log-ins.

ALL-ACCESS PASSES: This webinar is not a part of the Safe Library or Learning Revolution All-Access programs.

REED C. HEPLER

Reed Hepler is a digital initiatives librarian, instructional designer, copyright agent, artificial intelligence practitioner and consultant, and PhD student at Idaho State University. He earned a Master's Degree in Instructional Design and Educational Technology from Idaho State University in 2025. In 2022, he obtained a Master’s Degree in Library and Information Science, with emphases in Archives Management and Digital Curation from Indiana University. He has worked at nonprofits, corporations, and educational institutions encouraging information literacy and effective education. Combining all of these degrees and experiences, Reed strives to promote ethical librarianship and educational initiatives.

Currently, Reed works as a Digital Initiatives Librarian at a college in Idaho and also has his own consulting firm, heplerconsulting.com. His views and projects can be seen on his LinkedIn page or his blog, CollaborAItion, on Substack. Contact him at reed.hepler@gmail.com for more information.