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Artificial intelligence (AI) is one of the most powerful and versatile technologies of our time, playing a crucial role in determining the future competitiveness of industries and organisations. While being an early adopter of AI is becoming increasingly important, organisations must also prioritise a proper implementation mitigating potential risks.
“We must ensure that AI applications are safe, secure, reliable, and meet ethical principles,” said Dr. Andreas Hauser, CEO of Digital Service at TÜV SÜD. Not only for scalability but also for compliance reasons. The European Union (EU) will take a leading role here in regulating the ethical use of AI with the introduction of the AI Act, the first comprehensive law on AI by a major regulator. “Specific applications, such as mass surveillance or manipulative applications, will be simply forbidden,” Hauser added.
The World Summit AI (WSAI) is the perfect platform to discuss these hot-button issues in the field of AI. This year’s theme, “AI on the Brink: Shaping the Future of Humanity,” underscores the pivotal role of AI in shaping our shared future in a responsible manner.
The summit will bring together data scientists, developers, tech startups, ethical experts, and scientists to discuss the latest breakthroughs in AI and what they mean for the future of humanity. TÜV SÜD will contribute its view as an independent, impartial, and trust-building organisation.
A comprehensive and agnostic approach to AI quality
As with any technology, AI is neither good nor bad. However, news of biased algorithms and excessive data gathering by Large Language Models raises concerns about the technology's trustworthiness.
Conversations about trust, bias, privacy, and safety in the realm of AI tend to yield more questions than answers. From an organisational standpoint, it’s not a question of the inherent goodness of the technology but rather the readiness of organisations to deploy AI safely, responsibly, and ethically.
Having a robust AI quality framework can serve as a guardrail for organisations to mitigate risks associated with the large-scale use of AI. Given the dynamic developments in AI, it can be difficult for organisations to zero in on a single framework that fits their context and has the longevity to withstand changes in this dynamically growing field.
Conversations about trust, bias, privacy, and safety in the realm of AI tend to yield more questions than answers. From an organisational standpoint, it’s not a question of the inherent goodness of the technology but rather the readiness of organisations to deploy AI safely, responsibly, and ethically.
Having a robust AI quality framework can serve as a guardrail for organisations to mitigate risks associated with the large-scale use of AI. Given the dynamic developments in AI, it can be difficult for organisations to zero in on a single framework that fits their context and has the longevity to withstand changes in this dynamically growing field.
“At TÜV SÜD, we propose an agnostic approach to AI quality that relies on standards, regulations, and criteria that enjoy a high level of consensus among experts, covering all relevant quality aspects and delivering application-specific results,” explained Hauser.
TÜV SÜD’s AI Quality (AIQ) Framework covers the entire life cycle of AI systems and data, building on current and upcoming standards and regulations, business requirements, and industry best practices. We offer three services that help organisations ensure the quality of AI: Training, Readiness Analysis, and Full Assessment.
Training
To get the most out of AI technology, one must understand the quality of AI, relevant standards and regulations, and best practices in the context the AI system is used. Therefore, TÜV SÜD created comprehensive training modules to develop these necessary skills.
TÜV SÜD designed its e-learning courses, virtual instructor-led training sessions, and AI Quality Certification Program (AIQCP) for AI practitioners, AI experts, and AI quality managers. Training is a vital foundation not just for scaling AI but also for practising compliant and responsible AI use to mitigate financial, legal, and reputational risks.
Readiness analysis and full assessments
TÜV SÜD offers an AI Quality Readiness Analysis, that delivers a detailed and comprehensive risk and quality profile for particular use cases across six quality pillars: safety, security, legality, ethics, performance, and sustainability. It assesses an organisation's level of maturity and recognises areas where the organisation needs to enhance its capabilities. In technical areas, such as training data or model calibration, or process areas, where the life cycle of the data is insufficiently addressed, or organisational areas with insufficient roles for managing an AI system properly, there may be shortcomings.
“To maximise AI’s potential while ensuring responsible and beneficial use, organisations must prioritise the quality of AI as the key guardrail,” added Hauser.
Learn more about TÜV SÜD at the World Summit AI
TÜV SÜD’s approach to AI quality helps organisations ensure that AI deployments are safe, secure, reliable, and ethical. To learn more about TÜV SÜD’s comprehensive and agnostic approach to AI quality, visit TÜV SÜD at Booth A10 at the World Summit AI, or visit TÜV SÜD's website.
Global AI events calendar
World Summit AI
11-12 October 2023
Amsterdam, Netherlands
World Summit AI Americas
24-25 April 2024
Montréal, Canada
Montréal, Canada
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