Congress Has Proposed Many Bills for A.I. Regulation. Lawmakers Have Enacted Few

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-15T14:56:55.381Z • Permanent link

Congress has long been a hotbed of activity when it comes to regulating artificial intelligence, with numerous bills proposed over the years to address the growing threat posed by this emerging technology. One notable example is the AI Now Act, introduced in 2019 by Rep. Ayanna Pressley (D-MA) and Sen. Tina Smith (D-MN). The bill aimed to establish a framework for AI regulation, including requirements for transparency, accountability, and public engagement. Despite its bipartisan support, the bill stalled in committee and has yet to become law.

Another significant development came in 2022, when the Biden administration released a comprehensive framework for AI regulation. The framework outlined a series of principles for the development and deployment of AI, including ensuring that AI systems are transparent, explainable, and fair. The framework also emphasized the need for ongoing public engagement and the establishment of a national AI strategy. While the framework was widely praised, it has yet to be codified into law.

Meanwhile, lawmakers from both parties have been pushing for increased regulation of AI in various sectors. For example, Rep. Josh Gottheimer (D-NJ) introduced the AI Fairness Act in 2022, which aims to establish a national AI fairness commission to oversee the development and deployment of AI systems. Similarly, Sen. Marco Rubio (R-FL) introduced the AI Safety Act in 2022, which seeks to establish a national AI safety commission to ensure that AI systems are designed and deployed safely.

The proposed bills and regulations pose significant implications for companies that operate in the data sources domain. For example, companies like Palantir and Splunk, which provide data analytics and processing services to governments and corporations, will need to ensure that their products comply with the proposed regulations. Failure to do so could result in significant fines and reputational damage. Research communities, such as the Association for the Advancement of Artificial Intelligence (AAAI), will also need to adapt to the new regulatory landscape, which could impact their ability to conduct research and develop new AI technologies.

Moreover, the proposed regulations could have significant implications for markets, such as the stock market, where AI-powered trading systems are increasingly prevalent. Companies like Robinhood and Fidelity, which offer AI-powered trading platforms, will need to ensure that their systems comply with the proposed regulations. Failure to do so could result in significant losses and reputational damage. Policymakers will also need to consider the broader implications of the proposed regulations, including the potential impact on innovation and economic growth.

The proposed bills and regulations are part of a larger pattern of increasing regulation of AI globally. In recent years, countries such as China, the European Union, and Japan have introduced their own regulations and guidelines for AI development and deployment. The United States has also seen a significant increase in AI-related legislation, with numerous bills introduced in Congress and at the state level. This trend is likely to continue, with many experts predicting that the regulatory landscape for AI will become increasingly complex and stringent in the coming years.