Structuring and implementing governance frameworks for AI models
In an era where AI is becoming increasingly central to our lives, the need for robust governance of AI models has never been more critical. Governance in AI refers to a set of policies, procedures, and practices that ensure the responsible development and use of AI. This section explores how to effectively structure and implement governance frameworks for AI models, ensuring they are fair, trustworthy, secure, and, above all, beneficial to society.
Understanding the importance of governance
Governance in AI models is essential for mitigating risks, including those related to bias, privacy, security, and reliability. Effective governance ensures that AI models are developed and used in an ethical, transparent, and responsible manner, fostering public trust and the adoption of AI. Furthermore, robust governance is crucial for the long-term sustainability of AI projects, ensuring they can adapt to changes in laws,...
