While the applications of generative AI in operational tasks are quickly becoming well-recognized, its potential to transform governance within school districts is equally significant. I am doing a couple workshops on this later this fall, and thinking about the governance work of Boards and how they might consider using AI to help with these important tasks.
Some specific examples include:
Supporting Communication
Whether it is email responses or graduation speeches, AI can be a support. You may have given a version of the same speech at grad for the last 10 years; you can upload these speeches and ask for a revised modern version and suggest some new content to keep some of your key themes but make it newly relevant again. It can also serve in the assistance of email responses with structure and build drafts that can be a starting point of revision before they are sent.
Professional Development and Knowledge Enhancement
AI can be used to summarize and recommend resources such as articles, reports, and research relevant to govenance roles, helping you stay informed on educational trends and best practices. There might be a new provincial health report and a local one for your region. You could upload both documents and ask to have a list of similarities and differences identified between the reports and have suggested actions suggested.
Drafting and Refining Board Policies
Generative AI can assist in drafting board policy proposals or reports by producing initial drafts, summarizing legal or regulatory documents, and refining language based on specific goals or criteria. Similar policies from multiple districts can also be uploaded to identify areas that other districts have included in their policies that you may want to include in your policies.
Strategic Planning Support
AI can help during the strategic planning process by generating drafts, helping with specific wording of goals and objectives, and providing suggestions for long-term goals based on data trends. The ability of generative AI to look at large data sets and identify key aspects can be very helpful to help move away from “gut-feel” that can often take over strategic planning conversations.
Scenario Analysis
AI can simulate potential impacts of proposed policy changes (e.g., school closures or grade reconfigurations) by evaluating historical data and predicting outcomes. This can be another point of reference to the processes that lead to recommendations.
Be Good Models
Perhaps most importantly, those involved in governance can embrace a learning mindset when it comes to using generative AI, setting an example for the system by modeling the adoption of new technologies. Political and administrative leaders in districts can also be open to how they can create policies and set directions along with staff that take important safeguards and privacy precautions but also are open to how these tools can support the work of everyone in the system.
We are at just the infancy of seeing the impact of these emerging tools. It is crucial everyone in the system has awareness over how they will impact the system going forward. By remaining adaptable to the evolving capabilities of AI, school districts can ensure these tools enhance our collective governance, support decision making and ultimately the overall mission of educational excellence.
At the end of my posts I explain how I used generative AI in their creation. After drafting this post I posted it to Chat GPT and I also posted the West Vancouver Schools Policy Book with the following prompt: Based on the policies and bylaws of West Vancouver Schools in the attached link, what are additional ways school districts could use generative AI to support their governance work beyond those I have already listed. This prompt helped me revise and improve my post.
The image at the top of the post was generated in Chat GPT from a series of prompts related to this blog post.


