Participating in AI Governance Practices
Participating in AI Governance Practices is the ability to engage proactively in the administration and management of AI systems. Specifically, it encompasses understanding ethical considerations, adhering to regulations and following standards of best practice. This participation enhances transparency, safety and fairness, strengthening the reliability and reputation of AI use in various contexts.
Foundational
At a foundational level you are aware of basic ethical and regulatory considerations when working with or around AI systems. You follow set guidelines and procedures to help ensure AI is used responsibly in your day-to-day tasks. Your actions support a workplace culture of safety, fairness and transparency in AI use.
Developing
At a developing level you are beginning to engage with AI governance practices by following basic guidelines and asking questions when unsure. You understand the importance of ethical considerations and compliance, and you seek guidance on these aspects when needed. Your participation helps ensure that AI systems are used responsibly and align with organizational values.
Proficient
At a proficient level you are actively involved in applying AI governance principles in your daily work, ensuring ethical standards and regulations are followed. You recognize potential risks and raise concerns when you see issues with AI systems or decisions. By doing this, you help your team build trust and confidence in how AI is used across the organization.
Advanced
At an advanced level you are driving conversations and helping shape decisions about the ethical, legal and practical management of AI systems. You anticipate governance challenges, apply evolving standards, and guide others in navigating compliance. Your actions help foster trust in AI and strengthen your organization’s reputation for responsible technology use.
Expert
At an expert level you are a trusted leader in AI governance, shaping organizational policies and guiding others in ethical, regulatory, and best practice standards. You anticipate risks and set high benchmarks for responsible AI use, often advising on complex situations. Your expertise builds confidence in AI initiatives and upholds the organization’s reputation.
