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AI-governance refers to the strategies, policies, and mechanisms that guide and regulate the development, deployment, and operation of AI systems. This framework of action is intended to ensure that AI technologies are developed and deployed in an ethical, safe, transparent, and responsible manner. This includes considerations regarding data protection, security, fairness, bias, transparency, and the overall impact of AI on society and the economy. AI-governance also encompasses the development of standards and best practices for AI research, development, and application to promote innovation while protecting public interests and rights. Effective AI-governance is critical to minimizing the risks and maximizing the benefits of AI.
Effective AI-governance creates the foundation for transparency, trust, and security in the development and use of AI systems. According to Gartner, organizations that operationalize these aspects can achieve significant improvements—with a 50% increase in acceptance, achievement of business goals, and user acceptance of their AI models. This underscores the strategic advantage of comprehensive AI-governance: it not only enables compliance with legal frameworks and protection against risks, but also optimizes the performance and potential of AI technologies in the enterprise, promotes innovation, and strengthens the trust of all stakeholders.
Companies must act quickly to comply with the requirements of the upcoming EU AI Act. Depending on the risk class of the AI use case, companies have between 6 and 24 months to achieve compliance. In addition, further industry-specific regulations are to be expected. This underscores the urgency of addressing AI-governance at an early stage, avoiding technical debt, and acting proactively so as not to be caught off guard by future regulations.
At TRUSTEQ, we focus on close, collaborative partnerships with our customers to develop practical AI-governance solutions or further develop existing approaches. Our flexible approach enables us to respond individually to the needs of our customers. Through joint workshops, we develop the optimal solution for each company and offer support during implementation to ensure that AI-governance initiatives are seamlessly integrated into existing processes and create measurable added value.
TRUSTEQ offers a comprehensive portfolio of AI-governance services to help companies develop and implement effective governance strategies. This includes developing AI strategies, conducting compliance assessments, setting up AI registries, and developing customized governance frameworks. We improve existing approaches to increase the maturity of your AI initiatives and ensure compliance. In addition, we offer training to prepare your team for regulatory challenges, analyze the impact of AI-governance on your organization, and support operationalization with innovative tools.
Our approach combines cooperative excellence and holistic perspectives to create practical and legally sound AI governance solutions. As a Trusted Advisor, we develop tailored strategies that meet regulatory requirements and ethical standards. Our expertise ensures regulatory compliance while fostering technological innovation. We support the integration of AI-governance into internal processes and daily operations through innovative tools.
We guide you through AI regulations and help you develop the appropriate governance framework. Thanks to our expertise and research, we elevate your AI initiatives to the next level. Our end-to-end services include strategy development and operationalization to support transparent, secure, and trustworthy AI systems.
This overview shows key areas of action for the safe and responsible use of artificial intelligence.
Companies must comply with regulatory and industry-specific requirements in relation to AI-security, e.g. EU AI Act
The catalogue of measures to safeguard against AI-security risks, which is individualised for companies and based on experience and best practices, is research-based and geared towards leading experts
In addition to the familiar code, infrastructure and application components, AI introduces additional challenges through data, training and model development. In order to assess the specific risks of AI development in a well-founded manner, the interaction of these components in particular must be taken into account.
People, processes and technologies must be considered in all dimensions of the holistic AI-security approach, e.g. in relation to the safe handling of tools, effects for those responsible for tools, quality processes.
AI can be used in five primary ways, each with distinct implications for security and risk:
Robust AI-security is a strategic foundation for responsible innovation. It enables companies to:
TRUSTEQ supports organizations holistically in building secure and resilient AI systems. Our service offering includes:
Our goal: to systematically embed AI-security into your business – effectively, efficiently, and aligned with your strategic priorities.
Learn more about our AI-security offering
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