In our new research paper, we’ll discuss how privacy professionals, and their organizations, can take on AI governance — and what will happen if they don’t. Key findings include:
3 Levels of AI Governance – It’s not just about the models!
While AI has been used in enterprise and consumer products for decades, only large tech organizations with sufficient resources were able to implement it at scale. In the past few years, advances in the quality and accessibility of ML systems have led to a rapid proliferation of AI tools in everyday life. The accessibility of these tools means there is a massive need for good AI Governance both by AI providers (e.g. OpenAI), as well as the organizations implementing and deploying AI systems into their own products.
AI Governance at Scale: Trustible Becomes Official Databricks Technology Partner
At Trustible, we empower organizations to responsibly build, deploy, and monitor AI systems at scale. Today, we are excited to announce our partnership with Databricks to bring together our leading AI governance platform with their trusted data and AI lakehouse, enabling joint customers to rapidly implement responsible, compliant, and accountable AI. We believe AI practitioners […]