AI Governance Solutions

AI is being used heavily in manufacturing to detect errors in production, and in the automotive industry for object identification, detection and avoidance. In health care, we see it regularly perform patient data processing tasks and analyze medical images. Within business, AI can make decisions in recruitment and HR systems and provide prevention against cybersecurity threats.

The identification, assessment and governing of AI applications falls primarily within your organization’s risk function. Those stakeholders who own the AI governance agenda are often the CR, CFO, CTO/CIO/CDO, Head of IA and Head of Model Risk Governance or Operational Risk.

Common risks include program and algorithmic bias in important decision-making tools, violation of privacy with risks to personal data being sourced and mined, operational and security risks such as non-approved software being used across an organization without IT and risk teams knowing.

Understanding of requirements and how to implement your program to the regulations most appropriate for your organization is a key first step. Having the right identification methods to map your inventory, following clear design documentation, performing testing and refinement are all equally as necessary to do. Good AI control and governance should always be the priority before placing trust in untested and unknown AI / ML systems for efficiency gains.

Mitratech is the only AI Governance solution provider on the market to provide AI Application Identification and AI Application Ongoing Version & Change Control Management for applications outside of IT’s control.