A set of rules, policies, and best practices that guide how artificial intelligence is developed and used responsibly, ensuring fairness, transparency, and safety for everyone involved.
AI governance is a framework that helps organizations manage the development and use of AI systems in a way that is ethical, safe, and compliant with laws and regulations. It covers everything from setting standards for transparency and accountability to ensuring that AI does not cause harm or reinforce bias.
Key aspects include:
Understanding and applying AI governance helps prevent risks like unfair decisions, privacy breaches, and legal issues. It builds trust with users and the public, making sure AI benefits everyone while minimizing harm . As AI becomes more common, strong governance is essential for safe and responsible innovation.
To put AI governance into practice, organizations create policies and processes that guide every stage of an AI system’s life—from design to deployment. This might involve:
A healthcare company wants to use AI to help diagnose diseases. With AI governance, they set up rules to check that the AI is accurate, unbiased, and keeps patient data private. They regularly review the system’s decisions, document how it works, and train staff to spot and fix any issues, ensuring safe and fair outcomes for patients.
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