The International Associate of Privacy Professionals hosted their Artificial Intelligence Governance Global North America conference in Boston on September 18^th and September 19^th and I was lucky to attend. From keynote speakers who are involved in the current development of artificial intelligence to attorneys on the front lines of cutting-edge legal cases around intellectual property rights and data privacy questions, this conference had an impressive agenda.

As I return and reflect on all of the amazing sessions, I wanted to share some of my key takeaways:

• While the US Federal Government is currently taking a step back from artificial intelligence regulation in the hopes of fostering innovation, the state governments have taken the opportunity to serve as regulators.  The states have enacted almost 160 laws targeting artificial intelligence through September 2025.  Most of these state laws share the common principles of transparency, restrictions on high risk activities, anti-discrimination, and responsibility(who will be held responsible for the acts and mistakes of their artificial intelligence).
• Explainability is a huge driving force in governance. Are you able to explain how your AI model makes a decision? This expectation doesn’t require divulging the proprietary information of the platform, but companies should be able to provide plain language explanations of how their algorithms work.
• User consent is becoming as important in the AI governance world as it has become in the data privacy world. Are you using AI to make automated decisions that could be consequential? If so, consent should be apart of your AI governance plans.

To kick off a blog post series on the Artificial Intelligence Governance I went straight to the source! Using the free version of ChatGPT, I typed the following prompt “Can you write me an introductory paragraph introducing a blog series on the governance of artificial intelligence?” Here was the output I received:

As artificial intelligence (AI) continues to advance at an unprecedented pace, questions around how it should be governed have moved to the forefront of global discourse. From concerns about algorithmic bias and data privacy to the ethical deployment of autonomous systems, the stakes are high and the implications far-reaching. Effective AI governance is no longer a theoretical debate—it’s a pressing necessity that demands collaboration between policymakers, technologists, civil society, and the private sector. In this blog series, we’ll explore what AI governance entails, why it matters, and how to approach this complex and rapidly evolving challenge.

I have to say this is a pretty effective tool! Stay tuned for more posts on AI governance.