GenAI has the power to transform businesses, but it needs to be built on trust.
Let's progress with confidence.
As adoption of Generative AI (GenAI) increases, organisations will face more complexity in ensuring its output can be trusted. Regulatory frameworks such as the EU AI Act must be complied with, but trustworthy AI goes well beyond complying with the Act. As use cases are developed and new business models created, organisations will need to consider governance, ethics, resilience, privacy, security, legal and contractual obligations, as well as alignment with company values. Giving employees and customers confidence that the AI can be trusted will be paramount to its adoption, so these considerations need to be baked into the design phase.
As your GenAI journey evolves from the experimental stages to scaling the technology and reshaping your business model, a number of key considerations should be made to enable the successful adoption and responsible use of the new technology. From legal and regulatory obligations, to ethics, safety and security, the Deloitte Trustworthy AI framework helps you to minimize risks and optimize the GenAI potential in a safe and secure way. Using controls, guardrails and training, you can equip the organization to adopt new technology safely, securely and compliantly.
Building on the collective experience of lawyers, developers, data scientists, risk and control specialists and machine learning engineers, 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.
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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 clients with preparing their organisation and processes for Generative AI and its seamless integration, so it can be trusted. From understanding AI ethics and regulatory implications to developing a clear AI vision and strategy. Our teams can advise on setting up robust governance structures and managing change within the context of industry-specific, legal and ethical considerations.
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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