Sen. Markey Proposes Federal Bills on AI Accountability

On July 11, 2026, Sen. Ed Markey of Massachusetts introduced a set of federal bills in Congress aimed at regulating artificial intelligence. The laws would limit harmful uses of AI in four key areas: infrastructure, workplaces, fairness and the protection of vulnerable groups.

Thirsty data centers: the first target

One of Markey's main focuses is the energy and environmental harm caused by AI data centers. Modern AI models require enormous amounts of electricity and water to cool servers. As demand for AI grows, data center resource consumption is rising exponentially. Some studies suggest that training a single large model can require millions of liters of water.

Markey's bill sets strict transparency requirements: companies must publicly report water and energy use when developing and deploying AI systems. This would let regulators track the environmental impact of AI infrastructure locally and impose restrictions in water-scarce regions.

AI-driven workplace surveillance

The second issue on Markey's agenda is the use of AI systems for mass monitoring of employees. Many companies already use algorithms to track productivity automatically, analyze emotions through video cameras, predict worker behavior and assess the risk of employees quitting.

This raises serious concerns about privacy, fairness and psychological pressure on workers. Markey's bills would restrict unjustified surveillance and require explicit informed consent from employees before any AI monitoring system is introduced.

Algorithms that discriminate

Markey's third focus is bias in artificial intelligence used in critical decisions that affect people's lives. Studies show that candidate-screening algorithms often discriminate by gender and race, filtering out qualified applicants from underrepresented groups. Credit scoring systems consistently deny minorities access to loans.

Even in criminal justice, AI risk-assessment systems can reinforce existing racial inequalities. The bills require independent audits of algorithms before they are used in hiring, lending and court decisions, as well as appeal mechanisms for people affected by discriminatory decisions.

Protecting children from chatbots

The fourth target is the psychological and commercial impact on minors. Chatbots, especially personalized AI-based systems, can manipulate children's emotions, create dependency and collect their behavioral data for targeted advertising.

Markey's bill bans targeting and data collection from children under 18 through AI systems trained to manipulate user behavior. It also restricts recommendation algorithms that optimize engagement at the expense of young people's psychological well-being.

Why the federal level?

So far, AI regulation in the US has proceeded state by state, creating a patchwork of rules. California introduces one set of privacy standards, New York imposes different algorithm audit requirements, and other states have done almost nothing.

For global technology companies, this administrative mess forces them to apply the strictest requirements everywhere. Markey's federal approach would set uniform rules for the whole country, simplifying compliance while guaranteeing a minimum level of protection for citizens everywhere.

What it means

Markey's bills reflect Congress's growing concern about specific harmful uses of AI. If passed, they would become the first large-scale federal measures aimed not at banning AI itself, but at curbing its worst uses and ensuring corporate accountability. They could set off a wave of similar legislation in other countries, establishing new standards of AI governance and accountability.