Which term denotes a strategic approach to AI development that promotes fairness and reduces bias?

• A. Responsible AI
• B. Privacy challenges in AI
• C. Differential privacy
• D. EU AI Act of 2024

Answer: (A)

Responsible AI is a strategic approach to building and deploying AI that prioritizes fairness, transparency, accountability, and governance throughout the system’s lifecycle. It means designing processes that actively identify and reduce bias—from data collection and labeling to model training and evaluation—using diverse and representative data, applying fairness metrics, and implementing bias mitigation techniques. It also involves making models explainable, establishing clear accountability and decision-making processes, and continuously monitoring performance to catch and address unfair outcomes over time. This holistic, ethics-driven framework aims to prevent harm and ensure AI decisions are justifiable and trustworthy.

Privacy challenges in AI focuses on protecting individuals’ data and preventing leakage or misuse, which is related but distinct from a broad, strategy-based emphasis on fairness. Differential privacy is a technique that adds controlled noise to data or results to protect privacy, not a general approach to fairness across all AI systems. The EU AI Act of 2024 is a regulatory framework governing how AI systems should be developed and used, setting obligations and compliance requirements rather than defining the overarching practice of building fair AI.