Term
AI Governance
Definition
AI Governance involves setting up rules and frameworks to ensure that Artificial Intelligence (AI) systems are used safely, fairly, and in a way that people can trust and hold accountable.
Where you’ll find it
In AI systems, AI Governance is often incorporated into the development and deployment stages. These frameworks are integral to the entire process of creating and managing AI technologies across various industries and sectors.
Common use cases
- Ensuring AI systems do not violate privacy or ethical norms by overseeing their operations.
- Reducing biases in AI outputs and promoting fairness in everything from hiring processes to loan approvals.
- Holding AI systems accountable by tracking decisions and actions to identify and correct any errors or unethical behavior.
Things to watch out for
- Overlooking the importance of updating governance policies as AI technology and legal requirements change.
- The challenge of making complex AI systems transparent and understandable to non-experts.
- Ensuring all parties involved in AI development understand and follow these governance frameworks.
Related terms
- Ethical AI
- AI Accountability
- Data Privacy
- Bias in AI
- Regulatory Compliance
Pixelhaze Tip: Always stay updated with the latest AI governance guidelines and regulations specific to your industry. This proactive approach helps in compliance and boosts trust among users and stakeholders.