What does the principle of contestability in AI governance promote?

The principle of contestability in AI governance promotes the ability to question AI decisions, allowing stakeholders to scrutinize and challenge the outputs and actions of AI systems. This principle is crucial for ensuring accountability and transparency in the use of AI technologies. When decisions made by AI can be contested, it fosters an environment where developers and operators must provide justification for their algorithms’ decisions, increasing trust among users and the broader public.

By enabling the questioning of AI decisions, organizations can address biases, inaccuracies, or ethical concerns that may arise in the application of AI systems. This aligns with the overall aim of effective AI governance, which seeks to establish frameworks that uphold ethical standards and protect individual rights while leveraging the advantages of AI technology.

In contrast, the other options do not align with the core concept of contestability. Increased processing power, reduced operational costs, and faster data processing are primarily technical or efficiency-related aspects that do not inherently promote accountability or the ability to critically assess AI systems.