Signals of AI as an embedded public good

Reading about the recent discussions at the 2025 Paris AI Summit I am starting to get a sense of a nascent shift in the global AI discourse. While previous summits had more of a focus on safety and risk (Bletchley in 2023 and Seoul in 2024), the conversation seems to be moving toward innovation, governance, and AI as a public good.

Some of the more interesting takeaways I gathered were:

AI as a Public Good: Recognizing AI’s permanence means we must identify it as an actor with real power and influence. It is no longer a futuristic speculation; it is a force actively shaping the present.
Governance Over Mere Oversight: We are moving beyond simply mitigating risks to defining how AI fits into the fabric of society. This requires a framework that ensures AI serves the collective good without operating unchecked.
From Future Threats to Present Realities: The conversation is shifting away from hypothetical risks and toward the tangible, immediate ways AI is already impacting decision-making, economic structures, and social dynamics.

In essence, the shift in the discourse signals an acceptance of AI’s permanence and a move toward structuring its role within society.

The Challenge of Quiet AI: Hidden but Not Forgotten

As AI becomes increasingly embedded in daily life, there is also an increasing risk that it operates behind the scenes without our awareness. The quiet/pragmatic AI approach — where AI is seamlessly integrated into systems — means its influence could become more difficult to discern. When AI is embedded in hiring processes, medical diagnostics, or financial decision-making without transparency, its role may become “out of sight, out of mind”. If we are not careful, we may lose sight of how it influences us and, ultimately, shapes social norms.

As a recent example, Microsoft 365 now has the Copilot GPT built into its apps, meaning AI can work with your own data — emails, documents, and meetings — to generate insights and automate tasks. While you’re not exactly ‘training’ your own AI, it adapts to what you already have access to, making it a more integrated (and sometimes unsettling) presence in your workflow.

In a relatively short period we have gone from AI in the mainstream as a website, then an app, and now embedded into apps. Eventually, the ‘button’ will disappear altogether, lessening our awareness of how much AI is influencing what we produce.

But behind-the-scenes should not mean beyond accountability. The way we govern and disclose AI usage will determine whether it enhances society or subtly undermines ethical frameworks.

There’s a risk that AI could become a “cultural allergen” — a subtle force that triggers ethical and social reactions. When algorithms prioritize productivity or profit without regard for human well-being for example, we might find ourselves in a society subtly reshaped by AI in ways that go against our values. Imagine workplace AI influencing productivity in ways that, while efficient, neglect fairness or job satisfaction. The result? A culture silently altered; with consequences we might not notice until they’re deeply rooted.

Keeping AI Visible: Balancing Innovation and Governance

So how do we keep sight of the invisible? Transparency is essential. Requiring organizations to disclose AI’s influence in products and services, alongside regular ethical audits, could serve as a kind of “ingredient label” for AI, helping us remain aware of its role in our lives. Additionally, a structured approach to AI governance ensures that innovation does not come at the cost of accountability.

As AI approaches invisibility, we must ensure it doesn’t quietly disrupt social norms. By staying mindful of its underlying mechanics, we can uphold a society shaped by intentional, shared values — not by unseen algorithms.

Onwards From Here

At this time, the signals highlight the importance of governance around our deployment of AI in all areas of society to ensure that we are not losing sight of where it has the power to influence. It also means that in grounding our approaches to what is going on now we can create governance that will be more relevant to current impacts while at the same time creating key indicators that will allow us to evolve our governance as the technology evolves and us along with it.

As AI becomes part of our global ecosystem, public servants, policy makers and industry leaders must work together to ensure that AI is supporting human values rather than quietly reshaping them. If we are to look at AI as a public good, we have to keep its deployment in check and ensure that it benefits the public and that it also stays good.

Research Sources