47 Examples of AI Guiding Principles in Government

Human-Centric Approach: AI should be developed and utilized to enhance County employee work, not replace it.
Fairness and Equity: AI systems must be evaluated to ensure systems and applications treat residents equally, regardless of background.
Transparency: The inner workings of AI systems must be understandable and explainable to residents, fostering trust and accountability. .
Data Protection: Data must be handled responsibly, with strict adherence to data protection regulations to maintain privacy, integrity, and security, and in accordance with industry standards and applicable laws. .
Ethical Decision-Making: AI systems must be evaluated to make decisions that align with County ethical standards. .

Welcome to our post on examples of AI guiding principles. In this post, we will provide a quick refresher on the importance of AI guiding principles and 47 real-world examples from other regional governments.

Let’s jump in.

Refresher: The Importance of AI Guiding Principles

AI guiding principles provide a compass for organizations navigating the complex terrain of using AI ethically and responsibly. Using AI without guiding principles or guardrails exposes your organization, data privacy, and security risks. So, responsible development of your AI projects, machine learning, or any other AI projects you have identified and articulated with AI guiding principles matters.

Here are three key reasons to establish AI guiding principles in your organization.

Align the Use of AI with Your Core Values: Creating AI guiding principles ensures that your team has your core values and expected behaviors front-of-mind as they use AI.
Create Guardrails Around the Use of AI: Without guiding principles or an ethical AI policy, using AI in your organization exposes it to AI’s risks. These include [really] serious topics like data exposure, intellectual property exposure, and unmitigated bias. !
Create Direction and Clarity While Providing Space for Experimentation: Guiding principles provide clarity and direction, setting clear expectations for team members when interacting with AI technologies. Plus, it gives your team the permission and space to experiment with AI in a safe environment!