Trust in the era of Generative AI
Responsible ethics and security are the core of safety in this new frontier
For all the attention and investment in Generative AI research and development, there has not been commensurate investment in addressing and managing the risks. In its report, "Trust in the era of Generative AI", the Deloitte AI Institute explores how organizations can better understand the nature and scale of the risks that come with GenAI—and mitigate them to increase the value they extract from it.
Lean into Deloitte’s Trustworthy AI™ framework
Deloitte puts trust at the center of everything we do. We use a multidimensional AI framework to help organizations develop ethical safeguards across seven 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 seven dimensions in Deloitte's Trustworthy AI™ framework.
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 how an organization, and its stakeholders ensure AI deployments are ethical and can be trusted.
Read about how your organization can Build Trustworthy Generative AI through exploring the types of risks with which organizations may contend when deploying Generative AI and Trustworthy AI.
