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Building Agentic AI Systems
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There are various techniques available to the developer and researcher community to help cultivate trust in generative AI systems, addressing user concerns and expectations. We will discuss the key techniques in the following subsections.
Transparency into how an AI system arrives at its decisions and generates content forms the bedrock of building trust. Users need to understand the reasoning behind the AI’s outputs and have confidence in its decision-making process. Without this transparency and explainability, users may perceive the AI as a black box, making it difficult to trust its recommendations or outputs fully. Transparency in AI operates on two levels: the algorithmic level and the presentation level. Algorithmic transparency involves openness about the model’s architecture, training data, and potential biases, ensuring that developers and regulators can assess its reliability and fairness...