GenAI has the power to transform businesses, but it needs to be built on trust.
Let's progress with confidence.
As GenAI evolves from experimental stages to reshaping core business processes, regulatory frameworks like the EU AI Act have been introduced to ensure the technology's responsible use. In this pivotal phase, companies need to make sure they set up AI that can be trusted. This is not just about mitigating risks and ensuring compliance but also about configuring AI to create lasting value. Trustworthy AI must be applied ethically and implemented competently, consistently delivering high-quality results in a secure and transparent manner.
Building on the collective experience of developers, data scientists and machine learning engineers, as well as their best practices on how to prevent known risks and errors, we have developed a comprehensive but easily understandable framework for Trustworthy AI. It outlines the essential criteria that AI systems must meet to earn your trust. Whether you are focused on enhancing AI quality, complying with upcoming regulations or adhering to standards such as NIST, these universal guidelines are invaluable for AI practitioners and leaders alike. They apply to both generative AI and AI in general.
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By leveraging our unique capabilities including strategy, technology, ethics, legal, cyber, risk and change management, we offer both comprehensive solutions and specialised services. We support your entire journey towards Trustworthy AI, from preparation through development and implementation to ongoing operation.
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We help companies with preparing their organisation and processes for Trustworthy AI and its seamless integration - from understanding AI ethics and regulatory implications to developing a clear AI vision and strategy, setting up robust governance structures, and managing cultural change. We aim for optimal human-AI collaboration while ensuring ethical and legal considerations are embedded at every step.
AI quality is at the heart of sound AI development and use. Strong technical foundations are essential to build AI confidently and to apply the technology effectively. We help our clients to master the full spectrum of quality considerations - data management, model development & testing, cyber security, MLOps, monitoring, issue logging and resolution – supporting both quality risk management and compliance.
We guide our clients through the complexities of AI regulation with gap analyses, support for EU AI Act conformity declarations, and robust documentation and reporting processes. Additionally, we offer specialised legal assistance on issues such as intellectual property, data privacy, and policy formulation to provide full confidence and help to prevent penalties.
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Ensure your AI systems possess the quality, security, and compliance needed for large-scale deployment.
Boost your teams' trust in AI, increasing adoption rates, enhancing user experience, and fostering long-term motivation.
Meet and exceed customer expectations with consistent, high-quality outcomes from your AI systems and their ethical use.
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Demonstrate a commitment to ethical AI and clear policies to enhance your brand's reputation and mitigate reputation risks.
Allow your teams to innovate with direction by striking the right balance between governance and creating an innovation playground.
Ensure compliance with current regulatory frameworks and stay ahead of future ones to reduce the risk of legal issues and penalties.
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