AI’s Role in America: A Critical Perspective

Artificial intelligence is undeniably part of our reality now. The pressing issue isn’t about whether AI will impact American lives; it’s about forming appropriate legal frameworks that ensure it benefits everyone, rather than being a tool for oppression.

Currently, various state laws attempt to navigate the complexities of AI regulation. However, because AI models are universally developed and implemented, businesses tend to adhere to the strictest regulations available. This leads to what could be called “least common denominator” governance. If a single progressive legislature—say, in California, New York, or Washington—decides on certain rules, it might dictate how AI operates globally. Meanwhile, states with more conservative viewpoints won’t have a significant say, despite having responsible regulatory frameworks. What we have here isn’t true federalism; it resembles a national policy largely set by more liberal states.

This highlights the necessity of President Trump’s suggestion for a federal approach to prevent conflicting state AI laws. It’s not merely a smart move; it’s vital. Without a unified national standard, the U.S. risks developing an AI system that lacks accountability and may actually work against the public good. Instead, we might end up with what many term “woke AI,” heavily influenced by the radical left.

We can see examples of this trend already unfolding. Professionals like lawyers and corporate leaders know about the issue of disparate influence liability, which has allowed regulators to penalize seemingly neutral practices based solely on their statistical outcomes favoring certain activist agendas. Last year, President Trump instructed the federal government to curb the use of this principle. In response, the Department of Justice initiated regulations that aim to restore equal treatment under neutral standards for all Americans.

Yet, even with these federal measures, some blue states are rapidly enacting their own AI governance rules. For instance, New York City’s Local Law 144 mandates annual bias audits for automated hiring tools, and Colorado’s SB24-205 imposes hefty fines on organizations that don’t take adequate precautions against algorithmic discrimination. In New Jersey, new rules place the burden on employers to justify the use of AI if their algorithms yield statistically uneven results, which could lead to significant fines for those who don’t meet these standards. This also affects small businesses using off-the-shelf systems, regardless of their design knowledge.

The trend is clear. After losing the argument for equal treatment, those on the left are trying to push through their preferred impact theories by manipulating AI laws. The negative consequences are all too predictable. For instance, AI systems used for resume screenings might overlook a candidate’s criminal record or previous job history if it conflicts with certain demographic outcomes. It’s a troubling sight when merit is sidelined in favor of mandated performance metrics.

This issue extends beyond just hiring. All areas where AI plays a role in decision-making—be it credit evaluation or insurance pricing—will face similar challenges. Innovators will be forced to allocate limited resources towards compliance rather than advancement. As most stringent regulations from states like California become the norm, the widespread operations will feel dictated to those who didn’t support such measures in elections.

Some conservatives worry that federal oversight could infringe on states’ rights, but this perspective might miss the essence of AI technology. Since AI operates across states, it’s impractical to program systems with varied protocols for New Jersey and Texas without sacrificing efficiency.

President Trump recognizes the stakes involved. His administration has already taken steps to remove radical doctrines within federal agencies. The next critical step is crafting a clear national framework that dismisses disparate impact liability for AI, endorses competence-based decision-making, and ensures these advanced tools are used to uplift Americans, not penalize them.

The radical left is making notable strides to utilize AI as a means for social control. It’s still possible to prevent that outcome, but it relies on a few state legislatures not imposing their restrictive rules upon all.

Ultimately, a unified federal standard that promotes equal, merit-based treatment is essential for ensuring that AI enriches society rather than oppresses it.