AI Regulation

Developers need clarity-not chaos-in how AI is regulated.

AI policy in plain English

AI policy determines what developers can build with AI, how those systems must operate, and who is responsible when things go wrong. And because this tech is still young and evolving fast, lawmakers are still finding their footing.

Meanwhile, the rules are being drafted much faster than the guidance developers need to follow them. Some proposals require strict transparency or testing standards, while others limit which models or features teams can use or shift liability in unpredictable ways.

For a technology growing this fast, these rules can create real challenges — adding uncertainty, slowing adoption, and raising the cost of building AI features, especially for small teams trying to stay competitive.

How it will affect you

AI policy will shape the tools you rely on, how you build with them, and the decisions you can make as your product evolves:

More friction and disruption across the user experience.
Transparency rules can require constant notices or labels that interrupt flows, clutter your UI, and create frustration that increases churn.
Greater liability tied to model behavior and misuse.
Some proposals push accountability onto developers, making you responsible for failures, misuse, or outputs you cannot fully control.
Tight deadlines and heavy compliance workloads.
Documentation, testing, and reporting requirements can arrive with little warning, creating timelines small teams cannot realistically meet.
A harder path for small teams to compete.
New, sweeping mandates can make it tougher for independent developers to keep pace and deliver the features users expect.

Our Position

We support AI policies that tackle real risks without adding unnecessary friction or slowing innovation. That means policies that:

Target specific areas of harm instead of relying on blanket requirements
Preserve user experience by avoiding intrusive and misguided mandates
Avoid rules that disproportionately impact small developers' ability to compete
Set compliance timelines that reflect how development actually works

Good AI policy should strengthen safety and trust while giving developers the clarity and flexibility they need to keep building.

Why you should get involved

AI regulations are advancing quickly, and many proposals rely on broad solutions that complicate development, add noise to the user experience, and slow the pace of innovation.

Without your input, these ideas can become rules that limit what you can build, raise compliance risks, and make it harder for you to compete.

Alliance 2.0 will be launching in the coming months. We'll be focused on amplifying developer voices through issue advocacy, and giving you the resources you need to make an impact worldwide.