17.09.2026

Human-Centered AI: Trust as a Key to Success

AI systems cause frustration: They confront users with convincingly presented misinformation, opaque mechanisms, and distorted data – and they’re complicated to use. For AI to reach its full potential, it must be understandable and intuitive for users – in other words, it must be designed with people in mind. We’ll give you an overview of the key elements of Human-Centered AI (HCAI).

Distribution and Regulation of AI

More than half of the people in Germany aged 16 and older use AI in their professional livesI or personally (Bitkom, 2026). Its use is also growing rapidly in businesses. 2025 set EU-wide 20% of companies with 10 or more employees use AI technologies, an increase of 6.5 percentage points compared to the previous year (Eurostat, 2025).

As adoption grows, so does the desire for clear rules and a say in the process. Worldwide , 70 % of respondents worldwide believe that AI regulation is is necessary (Gillespie et al., 2025). In the EU , 77 % consider it fairly or very important to for employees to be involved in the design and implementation of new digital Technologies in the Workplace with onein (European Commission, 2025).

The EU AI Act , steps have been taken toward regulation have been taken. Providers and operators must take measures starting in February 2025 to ensure the AI proficiency of their staff ensure (European Union, 2024, Art. 4). TAugust 2026, transparency requirements will apply, requiring that people be able to recognize when they are interacting with an AI system (European Union, 2024, Art. 50).

KI-Chatbot-Interface mit deutschen Sprachvorschlägen auf einem transparenten Display – eine Hand tippt auf eine Reiseempfehlung

The Problem with trust

Mann am Schreibtisch liest KI-Assistent-Antworten zum EU-Lieferkettengesetz auf einem Computerbildschirm

When it comes to trust in AI reveals a twofold problemthat poses a challenge for the design AI systems The key factor is. On the one hand, there is a lack of trust: Worldwide, only 46% of respondents are willing to trust AI systems (Gillespie et al., 2025). In Germany , this lack of trust is one of the main reasons AI is at all to be implemented first (Bitkom, 2026). On the other hand, the existing level of trust is often too uncritical: 66 % of employees surveyed worldwide are willing to AIresults without verifying their accuracy (Gillespie et al., 2025).

There are several explanations for this: a lack of AI expertise, unclear rules within organizations, or systems that are not sufficiently tailored to their users. Instead of effectively supporting people in their work, AI systems sometimes create the feeling that one’s own expertise is not sufficient to use them. Added to this are opaque mechanisms and results. As a result, 42% of people in Germany view AI as often opaque and 41 % fear incorrect results (Bitkom, 2026). This fuels a vague sense of mistrust – yet results are often accepted without being verified.

What is Human-centered AI (HCAI)?

Human-centered AI, that is, human-centered AI design, emerged at the intersection of artificial intelligence and human-computer interaction (HCI). Key influences include also Human Factors and ergonomics, participatory design approaches, as well as ethical and value-oriented perspectives. While human-centered design (HCD) has long been established as a process and is specified in ISO 9241-210 (International Organization for Standardization, 2019) is described in terms of principles and activities , the term “human-centered AI is comparatively new. Among the most important features are the inclusion of people in the development process of AI systems and the goal of designing them in such a way that they provide tangible benefits to the people who work with them. Depending on HCAIapproach, additional emphasis is placed on human control and manageability, ethics and responsibility, transparency and explainability, data protection and security, or sustainability. (e.g., Shneiderman, 2022; Xu, 2026).

What human-centered AI design means to us

Hand zeichnet mit orangem Buntstift eine Skizze: Personensymbol im Zentrum eines Sterns mit Glitzer-Elementen

For us, the team at UID , people are the key factor in the development of AI systems. Because wer Not the technology, but the users focuses on, creates solutions with real added value. To do this, we identify needs and requirements, develop appropriate design solutions and evaluate them together with the users, in order to then iteratively to further develop. Topics such as Ethical Design, Accessibility, Behavioral Design, Calm UX and Sustainable UX round out the human-centered perspective and are integrated into our thinking from the very beginning. Our goal is to develop AI systems that align with the values and needs of their users and provide them access to content and the system’s decision-making logic without overwhelming them.

Here is how we approach AI projects

About the start of a project , we clarify not only the goals and technical possibilities but also questions regarding ethical standards and values, as well as user data protection and privacy, as well as to the responsibilities for AI results. Future users:inside We involve them in the development process from the very beginning in order to understand their needs and expectations, as well as their reservations and fears, and to incorporate them . address. In doing so, we take an open-minded approach to determining whether AI is even the right tool for the task at hand. Can ae Requirement If a rule-based or simply better-designed solution can meet those requirements more reliably, we recommend that approach.

Once the requirements and framework conditions have been clarified, we develop initial prototype solutions and keep not only the “happy path”, but also potential improper uses with and kconceptualize appropriate security and protectionmechanisms. To determine early on whether design solutions meet the requirements, we test prototypes with future users. When it comes to AI systems, , in addition to usability, the following issues transparency and explainability play a crucial role. It is important to design solutions continuously to evaluate and that feedback is incorporatedback into development to. This also applies – and, in the case of AI systems, in particular, when they these have already on the market and in use are.

Zwei Kolleginnen und Kollegen besprechen am Tisch gemeinsam Inhalte auf einem Laptop

The benefits of Human-Centered AI systems

Human-centered design makes AI systems more accessible, usable, and understandable. Our experience shows that this reduces frustration and mistrust and creates opportunities for inspiring user experiences. This benefits not only your users but also your organization:

Greater acceptance. A system that is tailored to the tasks and expectations of its target audience will be used willingly and regularly rather than avoided.

Fewer errors in the final output. Traceable results and clear indications of uncertainties encourage critical review and reduce the risk that incorrect outputs will be accepted without verification.

Lower development costs. Those who test assumptions early in the prototyping phase will have to make significantly fewer revisions later on, when changes become more time-consuming.

A better regulatory framework. Transparency, traceability, and effective human oversight directly address the requirements of the EU AI Act. Those who proactively implement these principles go beyond mere formal compliance.

Clear positioning. In an environment where reservations about AI are widespread, understandable and trustworthy systems are a tangible differentiator.

The effort involved in human-centered design begins early in the project, and the benefits extend throughout the entire lifecycle of your AI system.

If you want to design AI systems with your users at the center, we’d be happy to support you—whether it’s brainstorming and developing new ideas, evaluating and refining existing AI systems, or tackling your unique challenges. Let’s talk about where you stand today and what the next step should be for you.

The author

Philipp Seidel works as a user experience consultant at UID. His areas of expertise include user research and the design of digital products and services. He also explores how AI can be meaningfully integrated into our work and designed in a human-centered way.

UID Mitarbeiter Philipp Seidel

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