Trustworthy AI | diconium

TRUST AS AN ESSENTIAL FACTOR FOR AI BUSINESS

AI systems are fundamentally decision-making tools. The critical factor for their success is building trust in these decisions. Even when human oversight is integrated, confidence in AI recommendations drives adoption and maximizes return on investment. This becomes particularly crucial in high-stakes environments like finance, logistics, research and development, medical devices, or driver assistance systems where the implications of decisions can be significant.

Three key pillars to build trusted solutions

Trust in the AI decisions is key to adoption and return on investment.

Transparency

A system’s decision-making needs to be transparent concerning performance metrics and the data used to train the system.

Systematic Development

A trustworthy system needs to be developed with a thorough and systematic process based on established best practices.

Certification

How we can help to develop trustworthy AI

From Assessment to Certification: Your Path to Trustworthy AI

Building AI systems that earn trust requires both thorough understanding your current position and recognized validation. Our services help organizations develop AI that meets the highest standards of reliability, fairness, and compliance. Whether you're starting your journey or ready for formal certification, our experts provide the guidance and expertise you need.

Understand your AI potential
In our collaborative workshop, we assess your AI use cases, challenges, and opportunities. Through structured interviews and analysis, we evaluate your position in trustworthy AI implementation using established criteria based on emerging industry standards. We provide a comprehensive gap analysis with actionable recommendations to address any identified areas for improvement.
Support on your way to certification
We're committed to simplifying your path to AI certification, ensuring you meet all necessary standards with confidence -when you're ready for the ultimate seal of trust for your AI systems.
Drawing on our experience developing certified AI applications—both internally and with clients—we provide efficient coaching and direction toward successful certification.

We guide companies through the AI certification process, offering comprehensive consulting and hands-on support. Our guidance includes conducting thorough gap analyses, preparing essential documentation, and performing audit dry runs. Our hands-on support ranges from detailed data analysis and AI model measurements to preparing complete certification documents.

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Why diconium?

Our expertise spans the entire AI ecosystem—from product owners and data architects to business and legal consultants, data scientists, analysts, engineers, and data-ops specialists.

With decades of collective experience and numerous successful projects, we're equipped to support you through critical challenges, whether you're racing against a deadline or need to bridge key technical gaps.

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We are member of the KI Bundesverband, an alliance of 400+ AI companies dedicated to ethical AI.

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We have gained the TRUSTIFAI certificate by TÜV Austria for a medical imaging application.

Further insights

Explore expert insights on Trustworthy AI topics and industry use cases.

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Understand Trustworthy AI

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Blogpost Ethical AI

Get an understanding why companies need an ethical AI development process.

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Trustworthy AI with chatbots

Explore in our playbook how to build a trustworthy chatbot that protects brand and reduce risks.

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Video: Building Trust in AI

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FAQ

Could my AI system be considered "high-risk" under the EU AI Act?

Any AI system that falls under one of the following categories is high-risk, and has to be registered in the EU database:

Biometric identification
Operation of critical infrastructure
Access to education
Access to and management of employment
Access to essential public/private services (for example insurance, credit)
Law enforcement
Migration, asylum and border control

What are the transparency rules for Generative AI under the EU AI Act?

GenAI must comply with transparency requirements, disclose that the content was generated by AI, and where to find summaries of copyrighted data used for training. Also, the model must be designed such that generating illegal content is prevented.

Does EU product safety law mean my AI system is automatically high-risk?

An AI System used in products falling under the EU's product safety legislation, including toys, aviation, cars, medical devices or lifts, will be considered high-risk, and will therefore be regulated.