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Bridging the ethics gap surrounding AI
As more companies adopt AI, leaders grapple with ethical decisions about its design and use. Global AI regulations will eventually address ethics concerns, but until then the Deloitte AI Institute is working to bridge the ethics gap.
Deloitte’s Trustworthy AI™ framework
We put trust at the center of everything we do. We use a multidimensional AI framework to help organizations develop ethical safeguards across six key dimensions—a crucial step in managing the risks and capitalizing on the returns associated with artificial intelligence.
Trustworthy AI™ requires governance and regulatory compliance throughout the AI lifecycle from ideation to design, development, deployment and machine learning operations (MLOps) anchored on the six dimensions in Deloitte's Trustworthy AI™ framework—transparent and explainable, fair and impartial, robust and reliable, respectful of privacy, safe and secure, and responsible and accountable. At its foundation, AI governance encompasses all the above stages, and is embedded across technology, processes and employee trainings. This includes adhering to applicable regulations, as it prompts risk evaluation, control mechanisms, and overall compliance. Together, governance and compliance are the means by which an organization and its stakeholders ensure AI deployments are ethical and can be trusted.
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