Your employees are probably already using AI to complete their tasks. It is your decision whether to close your eyes and hope for the best or to empower them by using AI in a skilled and responsible manner. To ensure your company is leveraging AI lawfully, we recommend setting up a well-structured AI policy that promotes ethical practices, aligns with legal requirements, and minimises risks. Here’s a guide on what to consider when preparing the policy.
Types of AI policies
Before we dive into what you should consider, let’s take a quick look at the different types of AI policies out there.
- AI Governance Policy. Provides a framework for oversight, accountability, and risk management across all AI-related activities.
- AI Acceptable Use Policy. Governs how employees and stakeholders can use AI tools and systems responsibly within the organisation.
- AI Policy or AI Use Declaration. Explains to the outside world how your organisation uses AI.
- AI Development Policy. Outlines guidelines and standards for designing, training, and deploying AI systems to ensure they align with ethical, legal, and organisational objectives. You can look at Microsoft’s AI safety policies, as an example.
- AI Risk Management Policy. Addresses risk identification, assessment, mitigation, and monitoring in the context of AI use and development.
- AI Incident Response Policy. Defines protocols for detecting, reporting, and addressing AI-related incidents or failures.
- AI Security Policy. Focuses on safeguarding AI systems from cyber threats, unauthorised access, and vulnerabilities.
Now, a lot of these policies can stand on their own, but you don’t always have to start from scratch. Many existing policies can simply be updated to include AI-specific aspects. For example, your Acceptable Use Policy could cover how employees use AI tools, or your Privacy Policy could address how AI handles personal data. If you’ve already got a Cybersecurity Policy, just tweak it to include AI security measures. It’s all about finding what works best for your organisation, whether that’s a standalone policy or weaving AI into what you already have.
Determine the purpose of your AI policies
Defining the purpose is a good first step. Consider the scope of AI Systems. Will it be focused on generative AI (GenAI), other AI systems, or both? For instance, GenAI may raise unique concerns, such as copyright and content-generation ethics, while other AI systems might pose decision-making or automation challenges.
Clearly articulate why it is being introduced, ensuring the audience understands its importance. Also, check against your organisational goals, such as alignment with company values, to ensure it supports innovation while maintaining ethical standards.
Clearly articulate why the policy is being introduced to ensure the audience understands its importance.
Identify the target audience
Specify who the policy is for. That could be employees developing AI systems, teams deploying or managing AI tools or even external contractors or vendors supplying AI solutions. Tailoring the policy to these groups ensures relevance and enforceability.
Refer to related policies
As mentioned above, there is no need to reinvent the wheel, and it is probably best to avoid redundancy or contradictions by referencing existing organisational policies, such as data protection policies, cybersecurity protocols and ethics and compliance guidelines. Cross-referencing ensures consistency and provides a comprehensive governance framework.
Structure of the AI policies
Think of an AI policy as your organisation’s guidebook for using AI responsibly and effectively. A clear structure isn’t just about ticking boxes, it’s about making sure everyone knows why AI is being used, what it applies to, and how it fits into your operations. It sets the tone by explaining the purpose and goals of the policy, highlights key principles like fairness, transparency, and security, and gives a framework for navigating the legal landscape, like the EU AI Act or GDPR. It’s also a way to build trust and accountability, showing your team and stakeholders that you’ve thought through the risks and responsibilities. A well-structured policy helps keep everyone aligned and ready to adapt as technology or regulations change.
Remember, as AI evolves, so must your policy – commit to regular updates to stay ahead.
Actions You Can Take Next
- Ensure your executives and governing body are aware of the need for an AI policy by briefing them.
- Evaluate your employees’ current AI usage and identify areas where policies and training are needed. On that basis, customised AI policies and training programmes should be implemented. Michalsons is happy to assist you in that process.
- Explore the potential impacts on your industry by staying informed about the developments in AI legislation through our newsletter.
- Download our free generative AI acceptable use policy template.