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The Governance Wall and AI Regulation

EU AI Act, which will take full effect in August, have set a global gold standard for transparency. One of the articles in this law is the Right to Explanation, which requires any company using AI for high-risk decisions to explain the logic behind the output.

Across the United States, some states have already introduced stricter AI-related rules. Notable examples include California’s AB 2013 and Colorado’s SB 24-205 state laws requiring businesses to disclose when AI is used in consequential life decisions, such as hiring, insurance premiums, or credit lending.

The Real Business Impact

For many businesses, this shift is more than a compliance issue as it introduces a complete operational change.

  1. Explainability is no longer optional
    AI systems must be designed in a way that allows you to explain outcomes clearly. For instance, if a system rejects a loan application or filters out a job candidate, you must be able to justify why. Hence, a system must have transparent algorithms, clear logic pathways, and documented decision criteria.
  2. Audit trails are becoming mandatory
    Businesses are now expected to maintain audit trails. These are detailed records showing what the AI did, when it did it, and why it made a specific decision. If regulators or legal teams ask questions, you must provide evidence and not assumptions.
  3. Pre-use notices and opt-out options
    Before an AI agent processes a customer’s data, a business may be required to notify the customer that AI is being used, explain how it impacts them, and offer a way to opt out.
  4. Board-level oversight
    AI is no longer just an IT concern. Executives and directors are increasingly responsible for managing AI-related risks, ensuring compliance with regulations, and protecting the company from legal exposure. In other words, the AI strategy must align with the legal and risk management strategy.

The SEC and the AI Washing Crackdown

While local regulators focus on consumers, the U.S. Securities and Exchange Commission (SEC) is focusing on investors. As AI becomes a buzzword, many companies are tempted to exaggerate their capabilities. This practice, known as AI washing, involves claiming to use advanced AI when the technology used is minimal or non-existent. Companies do this to attract investors, boost valuation, and appear innovative in a competitive market.

The SEC has made it clear that any AI claims that are misleading will be treated as securities fraud. This is not just a problem for tech giants, as even small and medium businesses seeking funding are having their tech stacks audited. Firms found in violation face serious consequences – as happened to Delphia and Global Predictions, which had to pay $400,000 in penalties.

Strategic Solutions

For a business to scale without being paralyzed by regulations, it must:

  1. Implement Human-in-the-Loop (HITL) systems by positioning human staff as quality assurance to sign off on high-stakes outputs. This will provide the human judgment layer that regulators demand.
  2. Adopt small language models as they are smaller, domain-specific, and easier to interpret and audit. They also offer explainable AI (XAI) capabilities, making it easy to show your work.
  3. Unified governance to facilitate compliance. This will require leadership, including legal (interpret laws), IT (build audit trails), and HR or operations (manage the human oversight) to work together.

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