The nexus between universal design, ethics and the use of Al

Artificial Intelligence is rapidly becoming part of everyday systems - from customer service chatbots and automated decision tools to content generation and data analysis. As these systems become more embedded in how organisations operate, an important question emerges:

How do we ensure AI works for human diversity rather than reinforcing existing barriers?

This is where universal design and ethics become essential. Both provide lenses that help us think more carefully about how technologies are developed and used.

Universal design starts with human diversity

Universal design is based on a simple idea: people are diverse. We differ in our abilities, experiences, language, culture, knowledge, preferences and circumstances.

Good design acknowledges this diversity from the beginning rather than treating difference as an afterthought.

In practice this means asking questions such as:

  • Who are we designing for?
  • Who might be excluded?
  • What assumptions are we making about users?
  • What barriers might this create?
  • How flexible is the system for different ways of interacting?

Universal design is often associated with physical environments, but the same principles apply to services, systems and digital tools — including AI.

Ethics asks a different set of questions

Ethics focuses on the values behind decisions and systems.

It asks questions such as:

  • Is this fair?
  • Who benefits and who carries the risk?
  • Could this cause harm?
  • Are people being treated with dignity and respect?
  • Is there transparency and accountability?

When technologies affect how people access services, information or opportunities, ethical considerations become critical.

AI increases both opportunity and risk

Artificial Intelligence adds another layer to these questions.

AI systems are powerful because they can process large amounts of information, automate decisions and operate at scale. This can create useful opportunities. For example, AI can help:

  • generate alternative formats of information
  • support captioning or transcription
  • translate material across languages
  • simplify complex information into plain English
  • identify patterns in feedback or data

These capabilities can support accessibility and flexibility when used carefully.

However, AI also introduces risks.

Because AI systems learn from existing data, they often reflect the assumptions and inequalities already present in society. If this is not recognised and addressed, AI can reinforce exclusion rather than reduce it.

When optimisation conflicts with inclusion

Many AI systems are built to optimise efficiency, consistency or cost. Universal design, however, often requires flexibility.

For example, organisations may introduce AI systems to streamline processes such as:

  • online applications
  • complaints handling
  • customer service enquiries
  • eligibility assessments

If the streamlined pathway becomes the only pathway, some people may be unintentionally excluded.

People who need more time, explanation or alternative communication methods may struggle with rigid automated systems. Others may prefer to speak with a person rather than navigate a digital interface.

From a universal design perspective, the key question becomes:

Does the technology expand people’s options, or reduce them?

The importance of human judgement

Another ethical concern arises when decisions become automated.

AI systems can influence or determine outcomes in areas such as recruitment, eligibility for services, insurance assessments or risk scoring. If these processes are opaque or difficult to challenge, people may lose the ability to question decisions that affect them.

Inclusive systems should maintain:

  • clear explanations of decisions
  • the ability to appeal or contest outcomes
  • human oversight where appropriate
  • accessible communication about how systems work

Universal design is not only about usability. It is also about ensuring people can participate meaningfully in systems that affect them.

Participation matters

One of the strongest connections between universal design and ethics is participation.

Systems that affect people should not be designed without input from those who will use them - particularly those who are most likely to experience barriers.

This means involving diverse participants in:

  • defining the problem
  • shaping the design
  • testing the system
  • evaluating outcomes

Importantly, participation should go beyond testing an interface. It should include questioning the underlying assumptions about efficiency, risk, behaviour and “normal” users.

Risks worth watching

When considering AI through a universal design and ethical lens, several risks are worth paying attention to.

Narrow training data
If AI systems are trained on limited or biased data, they may struggle with diverse communication styles, accents, behaviours or cultural contexts.

Digital-only pathways
When automated systems replace human options, people who cannot or prefer not to engage digitally may be excluded.

False neutrality
AI systems are often presented as objective, even though they reflect human decisions about data, categories and priorities.

Surface-level accessibility
Interfaces may be technically accessible while the underlying decision logic remains exclusionary.

Loss of relational support
In some contexts, people benefit from human interaction. Fully automated systems may remove that support.

AI cannot replace universal design

AI can assist inclusive design, but it should not be mistaken for it.

A system is not universally designed simply because it is adaptive, personalised or “smart”. In fact, heavy reliance on personalisation can sometimes narrow experience by predicting what users should want rather than allowing open exploration and choice.

Universal design requires ongoing reflection about people, systems and outcomes, not just technological capability.

Bringing the lenses together

Universal design and ethics complement each other when thinking about AI.

  • Universal design asks whether everyone can use a system.
  • Ethics asks whether the system operates in a fair and responsible way.
  • AI increases both the potential benefits and the potential harms.

When these lenses are applied together, they help organisations think more carefully about how technologies are introduced and governed.

Ultimately the challenge is not simply to make AI accessible.

It is to ensure that AI-enabled systems are inclusive, transparent, accountable and grounded in respect for human diversity.

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