Never before has such powerful technology been so quickly and widely available. The risks that can be posed by AI development and deployment have led states and organizations to establish new and complex regulations.
This new context presents challenges for companies seeking to implement AI responsibly. All these new regulations aim to establish AI governance.
TNP’s benchmark, AI Governance Tools, provides an in-depth examination of key market solutions designed to support effective AI governance for organizations.
Why is AI governance essential?
AI governance is not just about meeting compliance standards. It is a strategic necessity for companies dedicated to fostering trust and innovation.
Governing AI effectively involves mitigating risks that range from data integrity and bias management to transparency and accountability.
Organizations must establish a framework that encompasses compliance throughout the AI lifecycle, risk management, data governance, algorithm monitoring, and third-party oversight.
Overview of Solutions
Our benchmark highlights top-tier AI governance tools, each with unique features.
Not all solutions have the same positioning. We voluntarily focused on AI management systems (policies, procedures, assessment). The following categories can be distinguished:
- Pure players in AI governance with varying degrees of technical functionality
- Solutions specialized in data privacy and data security, offering AI governance functionalities. With some enhancements, existing privacy frameworks can effectively support ethical and compliant AI development.
- Global data & compliance platforms with an AI governance module.
For expert assistance in selecting, implementing, or enhancing your AI governance solutions, please feel free to contact us.
