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Home > Analysis > The Future of Privacy Forum Releases a Generative AI Internal Policy Checklist

Since the release of ChatGPT in October of last year,  the signal to noise ratio re: solid, credible business strategy resources has been daunting. If your organization is still in the mist of a Generative AI sprint to put a baseline company culture and formal policies in place to empower innovation – while mitigating company-wide risk – the Future of Privacy Forum (FPF) is a vetted, sophisticated, and thoughtful resource.  And sometimes checklists are good, even if used only to initiate formative conversations and frame core issues for decisionmakers on your team.  Find the FPC’s Generative AI for Organizational Use: Internal Policy Checklist here.

FPF Release Generative AI Internal Policy Checklist to Guide Development Policies to Promote Responsible Employee Use of Generative AI Tools

With the proliferation of employee use of generative AI tools, this checklist provides organizations with a powerful tool to help revise their internal policies and procedures to ensure that employees are using generative AI in a way that mitigates data, security, and privacy risks, respects intellectual property rights, and preserves consumer trust.

The Checklist draws from a series of consultations with practitioners and experts from over 30 cross-sector companies and organizations to understand current and anticipatory employee use of generative AI tools, benefits and harms, AI governance, and measures taken to protect company data and infrastructure. The conversations focused on any generative AI guidelines, policies, and procedures that had been implemented to govern employees’ use of generative AI tools. 

From those discussions, [the FPF researchers and authors] learned that organizations have broadly varied use cases for generative AI and, therefore, significant variation in generative AI policies:

  • Some organizations have enacted outright bans for generative AI tools without prior approval;
  • While others have created restrictions for the use of generative AI; and
  • Others have yet to develop express policies and procedures on employee use of generative AI.

The Internal Policy Checklist for Generative AI is intended to serve as a guidance document no matter what stage of the process an organization is in. It may be used as a starting point to help kick off the development of internal generative AI policies or as a final check to ensure an organization has provided comprehensive and robust guidelines for their teams.

The Checklist provides guidance in four areas:

  • Use in Compliance with Existing Laws and Policies for Data Protection & Security
  • Employee Training and Education
  • Employee Use Disclosure
  • Outputs of Generative AI

Additional OODA Loop Resources 

Technology Convergence and Market Disruption: Rapid advancements in technology are changing market dynamics and user expectations. See: Disruptive and Exponential Technologies.

The New Tech Trinity: Artificial Intelligence, BioTech, Quantum Tech: Will make monumental shifts in the world. This new Tech Trinity will redefine our economy, both threaten and fortify our national security, and revolutionize our intelligence community. None of us are ready for this. This convergence requires a deepened commitment to foresight and preparation and planning on a level that is not occurring anywhere. The New Tech Trinity.

Benefits of Automation and New Technology: Automation, AI, robotics, and Robotic Process Automation are improving business efficiency. New sensors, especially quantum ones, are revolutionizing sectors like healthcare and national security. Advanced WiFi, cellular, and space-based communication technologies are enhancing distributed work capabilities. See: Advanced Automation and New Technologies

Rise of the Metaverse: The Metaverse, an immersive digital universe, is expected to reshape internet interactions, education, social networking, and entertainment. See Future of the Metaverse.

Daniel Pereira

About the Author

Daniel Pereira

Daniel Pereira is research director at OODA. He is a foresight strategist, creative technologist, and an information communication technology (ICT) and digital media researcher with 20+ years of experience directing public/private partnerships and strategic innovation initiatives.