In the rapidly evolving world of AI, establishing a robust governance framework is crucial for ensuring responsible and ethical development.

The whitepaper Best Practices for AI Governance in AI-Driven Product Development outlines essential principles for managing AI systems effectively. Drawing on NWT’s extensive real-world experience, this paper provides actionable insights into creating a solid AI governance structure.

Key principles include Transparency, Accountability, Privacy and Security, Fairness and Non-discrimination, and Safety and Robustness. By focusing on these areas, organisations can foster trust, mitigate risks, and enhance the reliability of AI systems. The paper also details the organisational roles necessary for effective AI governance, such as an AI Governance Board and AI Ethics Officer, and outlines processes for integrating governance throughout the AI project lifecycle.

Discover how to implement these best practices to optimise your AI strategy, ensure compliance, and drive innovation. Download the full whitepaper to explore comprehensive guidelines and strategies for achieving excellence in AI governance, supported by real-world examples and expert recommendations from NWT.