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 minimise risks and optimise the GenAI potential in a safe and secure way. Using controls, guardrails and training, you can equip the organisation to adopt new technology safely, securely and compliantly.
Embedding Deloitte’s Trustworthy AI framework will give you the confidence that your AI is aligned to legal best practice and your organisation’s values and ethical principles. Your customers will trust that your AI doesn’t discriminate or use their data in ways they are not comfortable with. You will comply with the EU AIA, UK regulator and other relevant regulatory standards.
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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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The provision of a range of assurance services to provide management, leadership and other parties that your AI is safe, robust, ethical and compliant. This can be done in a range of ways and at enterprise or system level, but often involves independent model testing and/or an assessment of how an AI risk management framework has been implemented and is operating.
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The design and deployment of a range of controls to manage the risk associated with your AI systems. These controls can range from manual review, or ‘human in the loop’ controls, to ITGC and security controls all the way through to legal disclaimers on chatbots and training for your staff.
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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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