AI Accountability Black Communities and Algorithmic Power

Most mornings, before my coffee has cooled, I have an AI assistant open alongside my email and calendar. I use it to sharpen language, summarize reports, and pressure-test ideas. The workflow feels seamless. Almost mundane.

Across the room, my four-year-old taps through a phone with intuitive ease. For him, this technology is not new. It is simply the world as he knows it. He will likely grow up without ever remembering a time before artificial intelligence was woven into daily life.

I think about that often, not with wonder, but with urgency. Because the question is not whether AI will shape my son’s future. It already is. The question is whether anyone will be required to explain how.

Algorithmic tools are being used right now to screen rental applications, evaluate loan eligibility, and filter job candidates. They promise efficiency and objectivity. They also operate largely out of public view, without meaningful oversight, and often without the knowledge of the people whose lives they are sorting.

Think about a young worker in North Minneapolis trying to secure a first apartment. Their application never reaches a leasing manager because it is filtered out in seconds by an automated system weighing credit scores and predictive risk indicators. No conversation. No context. No explanation offered. Or consider a small business owner seeking a loan, only to be evaluated by a model trained on data shaped by decades of redlining and disinvestment. The output appears neutral. But neutrality is a fiction when the data itself was produced by inequality.

Then, last week, something happened that made the stakes unmistakable.

Anthropic, one of the world’s leading AI companies, refused to let the U.S. military use its technology without restrictions on autonomous weapons and mass domestic surveillance. The government’s response was swift. The President directed every federal agency to stop using Anthropic’s technology. The Defense Secretary designated the company a supply chain risk to national security, a label historically reserved for foreign adversaries. Within hours, a competitor signed the deal Anthropic would not.

An American company drew a moral line. The federal government blacklisted them for it. And the market filled the vacuum overnight.

This is governance in real time, or the absence of it. The institutions supposed to set boundaries on powerful technology are not merely failing to keep up. In some cases, they are actively punishing companies that try.

I lead an organization that builds data tools and works daily in communities that have always been first to feel the weight of new systems of control. Black and Brown neighborhoods were the testing grounds for predictive policing, algorithmic credit scoring, and automated benefit denials. What is new is the speed and sophistication of the tools.

AI is becoming as foundational as the internet once was, yet most schools and public institutions have barely begun teaching people how these systems work, let alone how to question them. Understanding AI is no longer a technical skill. It is a form of civic literacy.

My son does not know any of this yet. He does not know that by the time he applies for a job, an algorithm may have already decided whether he is worth interviewing.

But I know. And that knowledge is not a reason for despair. It is a reason to act, to demand transparency and governance before the architecture is set, and to ensure that the people most affected by these systems have a voice in how they are designed and held accountable.

The future of AI will not be determined only by engineers and technology companies. It will be shaped by whether the rest of us choose to understand these systems while there is still time to change them. Before the machine decides for us.

Dara Beevas is the chief executive officer of the African American Leadership Forum.