Establish trust, stay relevant, and utilise the full potential of AI
Artificial Intelligence (AI) is one of the most influential technologies, disrupting organisations and redefining competition. Great breakthroughs are making headlines, but organisations struggle to successfully implement and scale AI projects.
Organisations are challenged by how to build a trustworthy AI, how to cope with complex quality requirements when scaling it and how to face mounting regulatory pressure.
Our outstanding AI quality framework is based on current and upcoming standards and regulations, business requirements and best practices to mitigate AI risks.
Thanks to our AI & Data quality services you will comply with regulations and unleash the full potential of responsible AI.
Discover the intricacies of successful AI adoption! Download our insightful Ensuring Compliance, Ethics, and Effective AI Adoption infographic, or contact us to talk to our team of AI experts. We're eager to provide you with in-depth knowledge about AI adoption and help you on your journey to harnessing the true potential of artificial intelligence.
WHAT IS AI QUALITY?
The quality of an AI system is its property to meet clearly defined criteria. The quality criteria of an efficient ecosystem must be:
AI quality refers to the quality, during development and operations, of:
Our AI quality framework covers the whole life cycle of AI and data and is split into 6 pillars which are analysed using standards, regulation and best practice.
AI Expertise
Combining our AI competence and expertise, we have developed a unique AI Quality Framework. It consolidates all relevant existing and upcoming standards and regulations to expedite your adoption of AI & Data quality.
Committed to Quality
Inspiring trust in technology has been our DNA which has served us as a guiding principle since our inception. Translating this into today’s digital world, we ensure the safety, security, reliability, and robustness of AI systems.
Independent and Impartial
As an independent and impartial organisation, we have been delivering testing, inspection, and certification services for more than 150 years.
There is no straight answer to this, but if you are using or programming AI being in touch with Human, then most probably yes. There are many other situations where you may be concerned: the EU AI Act is a risk-based approach. Contact us to clarify your situation.
This is a journey across your whole organisation, your AI system, your data and your processes. This is about learning and implementing how to make AI right: processes, documentation, governance and infrastructure. Depending on where you stand on your digital transformation, this can be demanding. However, no matter what your needs, we are here to help you understand your situation.
Let’s use an analogy. You are a car manufacturer; you are happy with your car specifications and proud of how fast you accelerate from 0 to 100km/h. Does this mean you would produce this car without compelling quality procedures? Do you know how to maintain it? What happens by freezing temperatures? Your CTO is leaving, and you are lost? Your insurance is asking you for proof of compliance? You are facing adversarial attacks,...
You understand now what this is all about: AI touches your entire organisation, and needs to be addressed as such.
Sure! AI is not only to be managed in your production or data science department, but as well when embedded into IOT devices. You will want to ensure that your customers and final users are dealing with a trustworthy AI, wouldn't you?
This is one of the major reasons to implement AI quality framework, based on standards and regulations: you will tremendously reduce the risk of liabilities, as they just are very unlikely to occur. And shall they nonetheless occur, your compliance to legal requirements and standards will be a really strong umbrella facing liabilities issues.
TÜV SÜD has developed comprehensive training courses catered to executives, AI developers and AI experts, as well as quality managers. Our training courses provide you with the skills to govern AI quality – a prerequisite to successfully developing AI at scale.
AI Training Courses:
AI Quality - Expert Training Course
Developed by the TÜV AI.Lab, the AI Risk Navigator is a user-friendly application designed to assist organisations categorise AI systems according to the risk classes defined by the EU AI Act.
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The Key to Adopting AI at Scale and Complying with Regulation
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Ensuring Compliance, Ethics, and Effective AI Adoption
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