Explained Simply
Creating rules for how people should responsibly use AI is often much easier than deciding exactly how AI should be controlled at an organizational level.
The AI Governance Dilemma
Artificial Intelligence is evolving faster than almost any technology that came before it.
New models are released monthly. New regulations are proposed quarterly. New use cases emerge daily.
As organizations race to determine how AI should fit into their operations, many leaders find themselves facing difficult questions:
The challenge is that the answers continue to change.
What appears to be an appropriate control today may become obsolete six months from now.
As a result, many organizations become stuck. They know they need AI governance, but they are hesitant to establish policies, standards, and technical controls that may need significant revision frequently.
New models are released monthly. New regulations are proposed quarterly. New use cases emerge daily.
As organizations race to determine how AI should fit into their operations, many leaders find themselves facing difficult questions:
- Which AI platforms should be approved?
- What security controls are required?
- What data can be submitted?
- What regulations apply?
- What monitoring is necessary?
- Which risks are acceptable?
The challenge is that the answers continue to change.
What appears to be an appropriate control today may become obsolete six months from now.
As a result, many organizations become stuck. They know they need AI governance, but they are hesitant to establish policies, standards, and technical controls that may need significant revision frequently.
Why AI Policies Are Difficult to Finalize
Traditional governance works best when the environment is relatively stable.
For example, organizations generally understand how to govern:
The expectations, technologies, and regulatory requirements have matured over decades.
Artificial Intelligence is different.
Many organizations are still determining:
In many cases, governance teams are attempting to create permanent policies for technology that is changing every few weeks.
That is a difficult proposition when most organizations require months of deliberation and consensus before authorizing new controls.
For example, organizations generally understand how to govern:
- Passwords
- Network access
- Data retention
- Physical security
The expectations, technologies, and regulatory requirements have matured over decades.
Artificial Intelligence is different.
Many organizations are still determining:
- Which AI tools provide business value
- Which risks are real versus theoretical
- Which regulations will emerge
- Which security controls are appropriate
- Which business processes should involve AI
In many cases, governance teams are attempting to create permanent policies for technology that is changing every few weeks.
That is a difficult proposition when most organizations require months of deliberation and consensus before authorizing new controls.
The Advantage of an AI Acceptable Use Policy
An AI Acceptable Use Policy (AUP) approaches the problem from a different angle.
Instead of attempting to define every control, configuration, or technical requirement, an AUP establishes expectations for behavior.
Organizations can often agree on questions like:
The answer to these questions is typically yes, regardless of which AI platform or applications are being used.
That makes an AI AUP one of the fastest and most practical governance tools an organization can implement.
Instead of attempting to define every control, configuration, or technical requirement, an AUP establishes expectations for behavior.
Organizations can often agree on questions like:
- Should users verify AI-generated content?
- Should users protect confidential information?
- Should AI outputs receive human review?
- Should users avoid deceptive or harmful uses of AI?
- Should users remain accountable for their work?
The answer to these questions is typically yes, regardless of which AI platform or applications are being used.
That makes an AI AUP one of the fastest and most practical governance tools an organization can implement.
Expectations Are More Stable Than Controls
One of the reasons AI AUPs are gaining popularity is that expectations tend to remain consistent even when technology changes.
For example:
1. Technology Changes
Today’s AI model may be replaced next year.
Expectations Remain
Users should still protect confidential information.
2. Technology Changes
New AI features may automate more work.
Expectations Remain
Users should still review outputs before making important decisions.
3. Technology Changes
Regulations may evolve.
Expectations Remain
Users should still act ethically and responsibly.
This creates a stable governance foundation while organizations continue to evaluate long-term administrative, legal, and technical controls.
For example:
1. Technology Changes
Today’s AI model may be replaced next year.
Expectations Remain
Users should still protect confidential information.
2. Technology Changes
New AI features may automate more work.
Expectations Remain
Users should still review outputs before making important decisions.
3. Technology Changes
Regulations may evolve.
Expectations Remain
Users should still act ethically and responsibly.
This creates a stable governance foundation while organizations continue to evaluate long-term administrative, legal, and technical controls.
AI Governance Begins With Human Behavior
Many AI governance discussions immediately focus on:
Those are important topics.
But the reality is that most AI-related incidents begin with human decisions.
Examples include:
These are behavioral issues before they become technical issues.
That is why establishing expectations for users often provides immediate value while broader governance efforts continue.
- Security controls
- Vendor reviews
- Data loss prevention
- Regulatory requirements
- Technical restrictions
Those are important topics.
But the reality is that most AI-related incidents begin with human decisions.
Examples include:
- Uploading sensitive information into an unauthorized AI platform
- Relying on inaccurate AI-generated information
- Using AI-generated content without verification
- Sharing confidential data
- Using AI in ways that violate organizational values
These are behavioral issues before they become technical issues.
That is why establishing expectations for users often provides immediate value while broader governance efforts continue.
Why V3 Developed an AI Acceptable Use Templates
At V3 Cybersecurity, we’ve found that many organizations are not struggling with whether they need AI governance.
They’re struggling with where to begin.
Working with our clients, we believe that an AI Acceptable Use Policy provides a practical starting point because it focuses on what organizations can agree on immediately:
These principles remain relevant regardless of which AI platform wins, which regulations emerge, or which technologies evolve.
They’re struggling with where to begin.
Working with our clients, we believe that an AI Acceptable Use Policy provides a practical starting point because it focuses on what organizations can agree on immediately:
- Accountability
- Privacy
- Human oversight
- Responsible use
- Protection of sensitive information
These principles remain relevant regardless of which AI platform wins, which regulations emerge, or which technologies evolve.
Free AI Acceptable Use Policy (AUP) Templates
The template includes:
This free resource is intended to help organizations establish clear expectations for the use of artificial intelligence technologies while supporting cybersecurity, compliance, privacy, and responsible innovation.
- Student AI acceptable use requirements
- Staff AI acceptable use requirements
- Generative AI usage guidance
- Artificial intelligence data privacy requirements
- Prohibited data submission standards
- FERPA and student information protection considerations
- Responsible AI expectations
- AI governance recommendations
- Administrative review guidance
- Signature acknowledgement language
This free resource is intended to help organizations establish clear expectations for the use of artificial intelligence technologies while supporting cybersecurity, compliance, privacy, and responsible innovation.
While the templates are not gated and free, running a small business is neither. If you find the content valuable and would like to learn more about V3 and the Minerva Cyber Risk Solution, we appreciate the opportunity to have a short discovery call.
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