A Systematic approach to assure AI quality and compliance
A Systematic approach to assure AI quality and compliance
Though 80% of executives believe they risk going out of business in 5 years if they don’t scale AI, most of implemented AI projects currently fail to deliver their promised outcomes. To scale AI and utilise its full potential you must manage the associated risks explicitly.
We at TÜV SÜD have shifted our focus early on the quality of AI and have built comprehensive expertise in this field. Hence, we are now help organisations using or developing AI. We teach them how tomanage the risk of technical failures, organizational shortcomings, violation of regulatory or legal requirements, or reputational damage due to unintended ethical biases.
Our AI guided assessment is based on standards, regulations and industry best practices. It enables organisations to implement a systematic AI quality framework.
Our AI quality experts conduct this guided assessment starting with scoping of the actual AI component, solution or system. Like the AI Quality Readiness Analysis, but in significantly more depth, the assessment covers six key quality pillars that are examined:
Using a risk-based approach, we generate a company-specific quality profile thanks to our outstanding quality framework . The profile is then being assessed to provide a clear understanding of the gaps and areas of improvement.
You are now now in the position to implement systematically a quality framework composed of respective standards and best practices meeting company values and regulations.
At TÜV SÜD, we leverage our testing, inspection and certification expertise combined with deep knowledge of Industry 4.0, AI, IoT and Cybersecurity. We set the basis for organisations to systematically plan and implement AI quality, which is essential for AI developers and users to utilise the full potential of this transformative technology.
A practical guide to gain the required knowledge to master AI quality
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