Which of the following is a grounding principle of AI systems?

Human Agency and Oversight is recognized as a grounding principle of AI systems because it emphasizes the importance of ensuring that human decision-makers retain control over and responsibility for the actions taken by AI technologies. This principle aims to prevent the automation of critical decisions without human input and assures that ethical considerations are taken into account. It highlights the need for transparency, accountability, and the ability to override AI decisions, positioning humans as essential components in the loop of decision-making.

While maximizing algorithm efficiency, minimizing development costs, and the practice of only using historical data can be relevant considerations in the development of AI systems, they do not encapsulate the foundational ethical framework that guides responsible AI implementation. Instead, these aspects are primarily focused on operational efficiency and practical development issues rather than the overarching ethical and governance structures that should be in place to manage AI technologies effectively.