Part 6/14:
While much of the AI conversation focuses on cutting-edge models like generative AI, the principles of responsible AI remain consistent. As AI systems become more complex—such as large language models (LLMs)—fundamental concerns persist:
Transparency of responses: Can the system cite the sources or reasoning behind its outputs? For instance, a generative AI should highlight relevant source documents or data points, offering users a sense of origin and legitimacy.
Confidence scores and thresholds: Displaying confidence levels helps users judge whether to trust a prediction. When confidence exceeds a predefined threshold, the system can automate decisions; lower-confidence outputs can trigger human review.