What approach involves ensuring transparency in AI usage?

The approach that involves ensuring transparency in AI usage is grounded in the principles of AI Ethics. This discipline emphasizes the importance of guiding the development and deployment of artificial intelligence systems in a manner that is ethical, fair, and accountable. Transparency is a critical component of AI Ethics, as it addresses the need for stakeholders, including users and affected parties, to understand how AI systems operate, the data they utilize, and the decision-making processes involved.

By advocating for transparency, AI Ethics seeks to build trust between users and AI systems. It ensures that individuals can be informed about how their data is being used and the algorithms affecting their lives, which is vital in fostering a responsible AI ecosystem. This aligns with broader societal values and adheres to regulatory frameworks designed to protect individuals from potential biases and infringements on privacy.

In contrast, while AI Monitoring, Data Governance, and Risk Assessment may touch upon aspects of transparency, they primarily focus on operational efficiency, compliance with regulations, and identifying potential threats rather than the underlying ethical considerations. AI Monitoring generally encompasses tracking AI performance and behavior, Data Governance focuses on the management and quality of data, and Risk Assessment evaluates potential risks associated with the deployment of AI systems. While all are important, they do not specifically center on the ethical