EU AI Act and Accessibility: What Organizations Need to Know

As AI Expands, Accessibility Moves Into Focus 

Artificial intelligence is becoming part of more everyday experiences, from applying for jobs and accessing financial services to interacting with healthcare providers and public agencies. As AI takes on a larger role in these interactions, questions about accessibility are becoming harder to ignore.

After all, an AI system can only be effective if the people it is designed to serve can access and use it. If important information, recommendations, or decisions are not accessible, some users may be excluded from experiences that increasingly shape daily life.

This growing reliance on AI is also influencing how regulators think about accessibility. The EU AI Act is one example, bringing accessibility into broader discussions about AI compliance, accountability, and governance. As organizations prepare for evolving requirements, accessibility is becoming an increasingly important consideration in how AI systems are designed, evaluated, and deployed.

Why EU AI Regulators Are Paying Attention to Accessibility

Article 16(l) introduces an important requirement: providers of certain high-risk AI systems must comply with applicable accessibility obligations already established under EU accessibility legislation, including the European Accessibility Act. 

It is easy to miss this provision amid broader discussions about AI regulation, but the principle behind it is straightforward. If people cannot access or interact with an AI system, the benefits of that system become harder to realize. 

Instead, they reinforce the importance of existing requirements, including those established under the EAA, within the context of AI systems. What they do make clear is that accessibility can no longer sit outside AI compliance discussions.

Why Accessibility Matters More in the Age of AI

Accessibility has traditionally been associated with website accessibility, mobile apps, and digital content, helping ensure that people with disabilities can access and use online information and services.  Those goals remain important, but AI is changing the stakes.

Many AI systems do more than provide information. In many cases, they shape the information people receive and the decisions they make as a result. A missed notification, an inaccessible recommendation, or a poorly communicated AI-generated outcome can have consequences that go beyond frustration.

Consider someone applying for a job and relying on an AI-based recruitment system to move through the hiring process. In such a case, the information only has value if it can be accessed and understood by the person receiving it. This is why AI accessibility is attracting more attention. As AI becomes part of everyday experiences, accessibility is no longer just about inclusion. Ultimately, AI can only deliver value if the people it is designed to serve can actually use it.

The Blind Spot in Many AI Compliance Strategies

Assuming Functional Means Accessible

One common blind spot is the assumption that if an AI system functions as intended, it is accessible to everyone who needs to use it. In reality, an AI generated recommendation, alert, explanation, or decision is only useful if it can be accessed and understood by the person receiving it.

Accessibility and AI Governance Operate in Silos

Another challenge is that accessibility and AI governance are often managed by different teams. Accessibility may be reviewed within websites, applications, and digital content, while AI systems are assessed through separate compliance, legal, or risk management processes. This separation can make it difficult to identify accessibility barriers that emerge within AI driven experiences.

Accessibility Is Often Overlooked in Vendor Evaluations

Organizations are also increasingly relying on third party AI tools and platforms. While these solutions may satisfy technical and business requirements, accessibility is not always part of the evaluation process. Questions such as whether AI driven interactions work with assistive technologies, whether AI generated outputs are accessible, and whether vendors have undergone AI accessibility audit services are often overlooked.

As organizations interpret the EU AI Act accessibility requirements, these gaps are becoming harder to ignore. Addressing accessibility after deployment can be significantly more challenging than considering it during planning, procurement, design, and testing. Many organizations are finding that accessibility should be built into digital experiences from the outset rather than treated as a separate activity later in the process.

Accessibility Is Moving Up the Agenda

There is still a lot we do not know about how accessibility will be evaluated within AI systems over the long term. What is clear, however, is that accessibility is no longer being discussed only by accessibility professionals. Legal teams are paying attention. Compliance teams are paying attention. Product teams are beginning to pay attention as well.

That shift matters because accessibility questions are starting to appear much earlier in the development process. Instead of asking whether an AI-enabled product is accessible after it has been launched, organizations are beginning to ask those questions during planning, procurement, and testing.

What This Means for High-Risk AI Systems

The EU AI Act places additional obligations on certain high-risk AI systems, making accessibility a more relevant consideration in areas where AI can influence important decisions or outcomes. Examples include:

• Employment and recruitment systems used to screen candidates or support hiring decisions.
• Education and training systems that influence admissions, assessments, or learning opportunities.
• Financial services applications used to assess creditworthiness or determine access to financial products.
• Healthcare-related systems that support clinical decisions or access to healthcare services.
• Public sector services where AI may affect eligibility, access, or interactions with government programs.

A Shift Organizations Can No Longer Ignore

Accessibility has long been part of digital compliance efforts, but AI is changing where and how those conversations take place. What was once treated primarily as a website, application, or document accessibility issue is now becoming relevant to organizations that develop, deploy, or procure AI systems.

The EU AI Act is another sign that the conversation is changing. For organizations preparing for evolving regulatory obligations, accessibility is becoming an increasingly important part of broader EU compliance services and governance initiatives. 

At DocumentA11y, we believe accessibility should be built into digital experiences from the outset, not added as an afterthought. As organizations navigate evolving AI regulations and accessibility requirements, taking a proactive approach today can help create more inclusive, compliant, and future-ready AI-driven products and services.