That’s Exactly Why I
Believe We Need
AI Governance.
By Dr. Tamika Quinn, Founder of G.L.A.M. Wellness Group
I use artificial intelligence every day.
I learn it. I teach it. I build with it. I use it to develop ideas, organize information, create systems, increase productivity and accomplish things that would have required an entire team just a few years ago.
So when I talk about the risks of artificial intelligence, I’m not standing on the sidelines yelling that technology is evil or that robots are coming to get us.
I believe AI is one of the most powerful tools of our lifetime.
And that is exactly why I believe we need to talk seriously about governance.
This week, AI researcher Jacob Coxon resigned from Anthropic after spending the past several years working in pretraining research at both Anthropic and OpenAI. His public warning centered on what he believes is an increasingly dangerous race toward more powerful, potentially self-improving artificial intelligence systems. Other researchers inside the industry have publicly echoed some of those concerns.
That made me stop.
Not because I suddenly believe artificial intelligence is going to wake up tomorrow and take over the world.
It made me stop because when people who actually help build these systems are raising serious questions about how quickly the technology is advancing, the rest of us should at least be willing to listen.
And let me tell you, listening does not mean panicking.
It means governing.
Believes We Need
AI Governance Continues After
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AI Governance Continues Below...
The Conversation Is Bigger Than Robots
When most people hear “AI safety,” their minds immediately go to science-fiction scenarios: machines becoming conscious, robots taking over or computers deciding human beings are no longer necessary.
Those possibilities make great headlines.
But governance begins much closer to home.
Artificial intelligence is already influencing healthcare, hiring, education, financial decisions, cybersecurity, government services, communication and the information millions of people consume every day.
That means our concern cannot only be about what AI might become.
We also have to pay attention to what AI is already being allowed to do.
Who decides what data trains these systems?
Who determines whether an algorithm is biased?
Who is responsible when an AI-generated decision harms someone?
What happens when a system provides false information confidently enough that people believe it?
Who determines which decisions should never be delegated to a machine?
And perhaps most importantly:
Who is accountable when something goes wrong?
Those are governance questions.
Innovation Without Accountability Is Not Progress
I understand the desire to move quickly.
Companies are competing. Countries are competing. Investors are investing billions. Every organization wants the latest model, the fastest technology and the competitive advantage AI promises.
But speed cannot be our only measurement of progress.
I have spent years working in advocacy and public policy, particularly around health. One lesson continues to show up in every system I encounter: when innovation moves faster than protection, everyday people usually discover the consequences first.
Sometimes regulation comes after the damage.
Sometimes policies are created after people have already been harmed.
Artificial intelligence gives us an opportunity to do something different.
We do not have to wait for a catastrophic failure before establishing meaningful standards.
Lawmakers are already being pushed harder to confront these questions as researchers and industry insiders publicly raise concerns about increasingly autonomous AI systems.
That conversation should include technologists.
But it cannot belong only to technologists.
The Public Needs a Seat at This Table
One of my greatest concerns about the AI conversation is how easily ordinary people can be left out of it.
Engineers speak with engineers.
CEOs speak with investors.
Policymakers hold hearings.
Researchers publish papers.
Meanwhile, millions of people are using these systems without fully understanding how their information is being collected, how recommendations are generated or how AI may eventually influence decisions affecting their lives.
Governance requires more voices at the table.
We need engineers and researchers, absolutely.
We also need educators, physicians, ethicists, cybersecurity experts, disability advocates, parents, patients, small-business owners, community leaders and people whose lives will be directly affected by these technologies.
Because technical capability should never be the only question.
We also have to ask:
Should we do it?
Under what circumstances?
With what protections?
And who gets to decide?
I Am Not Asking Us to Stop AI
I don’t want fear to shut down innovation.
I want wisdom to guide it.
There is a difference.
Responsible governance does not mean preventing every new idea. It means establishing guardrails around technology powerful enough to affect millions—or potentially billions—of human beings.
AI safety asks whether the technology can cause harm.
AI governance asks who has the authority, responsibility and accountability to prevent that harm.
We need both conversations.
Because the future of artificial intelligence should not be reduced to a race between companies trying to build the most powerful system first.
The real race should be whether our wisdom can keep pace with our innovation.
I will continue using AI.
I will continue learning it.
I will continue building with it.
And I will continue encouraging other people to understand the opportunities it creates.
But being excited about technology does not require us to abandon critical thinking.
In fact, I believe the people who understand its possibilities have an even greater responsibility to ask the difficult questions.
We should not have to choose between innovation and accountability.
We should demand both.
Because the biggest question facing us may not be whether artificial intelligence becomes powerful.
It already is.
The question is whether humanity will remain intentional about how that power is governed, who it serves and who remains accountable for what it does.
That conversation needs to happen now—not after the technology makes the decision for us.
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