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Home USA Blog Machine Learning & AI AI Regulation and Ethics in 2025: What’s Changing in the U.S.?

AI Regulation and Ethics in 2025: What’s Changing in the U.S.?

Understand how new AI regulations and ethical frameworks are redefining innovation, accountability, and compliance across U.S. industries in 2025.

Vamshi Krishna sanga by Vamshi Krishna sanga
September 10, 2025
in Machine Learning & AI
2025 AI Laws & Ethics Guide
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What comes to your mind when you think of AI regulation or AI ethics? The U.S. is at the forefront of sweeping AI-based reforms as the country seeks to navigate ethical concerns and regulate usage in alignment with the needs of the emerging era. There is a concerted effort by corporations, lawmakers, institutions, and other bodies to shape AI in the country responsibly. Various federal laws have come into effect, while states are also actively developing executive orders and bills related to AI governance.

Yes, there are concerns regarding AI in terms of national security, misuse, and other worries. However, there remains optimism about the creation of a unified framework for regulating artificial intelligence in the near future. Let’s take a closer look at some of the main developments in this space throughout the U.S.

Understanding AI Regulation and Ethics in 2025: Key Developments in the U.S.

Here is a glimpse of U.S. artificial intelligence laws and regulations with ethical challenges and more.

Category Key Aspects
Key Federal Actions and Executive Orders Executive Order on Advancing United States Leadership in Artificial Intelligence Infrastructure, NAII (2020), Donald Trump’s New Executive Order (2025).
10-Year Moratorium Debate H.R. 1 (One Big Beautiful Bill Act) may prevent any state/political subdivision from enforcing a law/regulation targeting AI systems, models, or automated decision systems.
Ethical Challenges AI Faces in Real-Time Deployment Data privacy, bias, fairness, misleading information, etc.
International Influence: Global Frameworks and U.S. Role Influential but patchwork of state laws needs simplification.
How Big Tech and Startups are Reacting Want more clarity and a unified framework while setting up ethical/responsible AI systems internally.

Key Federal Actions and Executive Orders

Some of the major artificial intelligence regulations in the U.S. include:

  • The National Artificial Intelligence Initiative Act of 2020 (NAII)– Promotes and subsidizes AI innovation across leading federal agencies
  • Bipartisan House Task Force Report on AI (2024)– Guiding principles, findings, and recommendations for future actions taken by Congress
  • President Joe Biden’s Executive Orders (2023-25)– Safe, Secure, and Trustworthy Development and Use of AI and AI Bill of Rights
  • President Donald Trump’s New Executive Order (2025) called Removing Barriers to American Leadership in Artificial Intelligence
  • Colorado AI Act of 2024
  • Illinois Supreme Court’s AI Policy (2025)

State Laws vs. Federal Oversight — The 10-Year Moratorium Debate

One of the most contentious laws regarding artificial intelligence is the 10-year moratorium being considered by Congress on state AI regulations. Here are some key aspects worth knowing in this regard:

  • The H.R. 1 (One Big Beautiful Bill Act) is the provision preventing any state/political subdivision from enforcing any regulation/law targeting AI systems, models, or automated decision systems.
  • The prohibition will be in force for 10 years, beginning from the date of enactment.
  • The Constitution’s Supremacy Clause contains the federal preemption principle, where federal laws may override/supersede state laws when they are in conflict. It may also occur whenever Congress chooses to address a regulatory field exclusively on its own.
  • The draft language does not mention any explicit purpose of the bill, although experts believe it intends to establish national uniformity in regulations. Combating the patchwork of state laws will make compliance easier for companies while encouraging more innovation.
  • It assumes significance at a time when 1,000+ AI-related bills have been introduced in the country in the first five months of 2025. Most of them are state bills.

Ethical Challenges AI Faces in Real-Time Deployment

Some of the biggest challenges to maintaining AI ethics include:

  • Biases and a lack of fairness (which may lead to discriminatory outcomes) in training data and subsequent outcomes.
  • Non-transparent decision-making and lack of trust, especially in criminal justice and healthcare.
  • Unclear determination of accountability for errors or harm.
  • Compromises on data privacy and security.
  • Job displacement and economic inequality, along with financial and social impacts.
  • Misinformation and harmful content, like deepfakes.

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International Influence: Global Frameworks and U.S. Role

The U.S. continues to remain influential in shaping responsible AI frameworks worldwide, as it is home to most of the top AI entities, developers, and tech giants globally. Yet, the patchwork of multiple state laws and partisan disagreements hinders the ability to unify AI laws and establish a centralized regulatory framework. The European Union’s AI Act has broader implications today, with several guardrails for entities to follow. The U.S. could follow suit, as expected.

How Big Tech and Startups are Reacting

When it comes to AI regulation across the U.S., big tech companies and startups are reiterating their demand for relief from the growing number of complex state laws on data privacy and AI. Many are advocating for President Trump’s One Big Beautiful Bill. They are unanimous in their demand for federal policies that preempt state laws regulating AI. OpenAI has already called state regulations burdensome, while Google has labeled it chaotic.

Also Read: XGBoost vs LightGBM: Key Differences, Pros & Cons

Pros and Cons of U.S. AI Regulation Trends in 2025

Here are some of the key pros and cons of AI regulation trends in the U.S. in 2025.

Pros:

  • Targeted regulations addressing individual AI applications instead of broader frameworks. It may lead to better industry-wide solutions.
  • More agility and easier compliance for businesses with federal policies to preempt the growing patchwork of state laws.
  • A less prescriptive approach to encourage innovation and faster deployment.
  • Higher focus on specific concern areas like data privacy, algorithmic bias, and transparency.

Cons:

  • Fragmented approach with federal and state-level legislation in conflict, along with mushrooming voluntary industry standards. It may lead to more confusion.
  • Lack of comprehensive or centralized regulation may create loopholes that companies may exploit.
  • Different standards across industries or regions.
  • Complex compliance landscape and higher costs for companies.
  • Higher risks of algorithmic bias, data breaches, and lack of accountability.

Also Read: Machine Learning with Python for Beginners in the US

Build Expertise in Responsible AI with upGrad

From AI regulation and ethics training to legislative frameworks, online courses through upGrad help you build expertise in responsible AI with its cutting-edge AI and ML courses. They include real-world case studies from the U.S. market, expert insights, dedicated learner support, and hands-on learning modules.

Some popular Machine Learning AI programs available on upGrad:

  • Post Graduate Certificate in Generative AI (E-Learning)
  • Master of Science in Machine Learning & AI
  • Executive Certificate in Generative AI for Leaders (E-Learning)
  • Executive Diploma in Machine Learning and AI with IIIT-B

For more information, email globaladmissions@upgrad.com or call +1 (240) 719- 6120.

FAQs on AI Regulation and Ethics in the USA

What agencies are involved in U.S. AI regulation?

Some agencies involved in U.S. AI regulation include:

  • National Security Commission on Artificial Intelligence
  • National Institute of Standards and Technology
  • FDA
  • FTC
  •  Several states are also developing regulations for AI.

How are companies like OpenAI or Google adapting to new AI regulations and ethics?

They are focusing on responsible AI development and implementing stringent ethical guidelines. Google and OpenAI, among other tech giants, are working to tackle privacy and bias-related issues effectively while advocating for unified policy frameworks that strike a balance between regulation and innovation. 

What are some ethical risks of AI in 2025?

Some of these ethical risks include the following:

  • Bias
  • Lack of transparency
  • Harmful or misleading content (and manipulation)
  • Privacy breaches
  • Job losses and social/economic impact
  • Copyright issues
  • Disinformation confusion
  • Lack of accountability/responsibility

Are there penalties for violating AI laws in the U.S.?

Different laws have varying provisions regarding penalties for violating AI laws in the U.S. In most cases, companies that fail to comply with the AI Transparency Act are required to pay a daily fine of USD 5,000. 

Where can I learn more about AI regulation and ethics?

You can learn more about AI regulation and ethics by taking courses at upGrad and also following the UNESCO Global AI Ethics and Governance Observatory. Other organizations worth following include AI Now Institute, CHAI, DARPA, and AlgorithmWatch.

Vamshi Krishna sanga

Vamshi Krishna sanga

73 articles published

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