A written document outlining guidelines and principles governing the responsible development, deployment, and use of artificial intelligence (AI) within an organization. It provides concrete examples of how AI should and should not be used, setting clear expectations for employees and stakeholders. This documentation often includes sections on data privacy, algorithmic bias, transparency, and accountability, serving as a practical framework for AI governance.
Establishing clear parameters for AI usage cultivates trust and mitigates potential risks. It demonstrates a commitment to ethical and responsible innovation, helping organizations maintain compliance with evolving regulations and societal expectations. Historically, the absence of such frameworks has led to unintended consequences like biased outcomes and privacy violations, highlighting the necessity for proactive policy implementation.
