What does effective 'Governance' in AI involve?

Effective governance in AI is fundamentally about setting up a structured approach to managing the use of artificial intelligence technologies. This includes establishing protocols for compliance with regulations, addressing issues of liability, and ensuring the protection of personal and sensitive data to maintain privacy.

In a context where AI is increasingly integrated into various domains, including healthcare and dentistry, proper governance is crucial to mitigate risks associated with misuse, ethical concerns, and potential legal implications. By establishing comprehensive governance protocols, organizations can safeguard against data breaches, ensure regulatory compliance, and foster trust among stakeholders and patients.

The other options focus on aspects that, while potentially beneficial for a business, do not directly address the essential components of governance in AI. Optimizing profit margins and improving marketing strategies are primarily business objectives that may benefit from AI, but they do not inherently involve the oversight and regulatory frameworks necessary for responsible AI deployment. Similarly, merely increasing the number of AI applications does not equate to effective governance; instead, governance is about ensuring that all applications are used responsibly and ethically.