September 2026
98 pages
2h 20m
English
Content preview from Managing AI Hallucinations
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4
Deploying AI Responsibly
Detecting and verifying AI output reduces the chance of errors reaching users. However, reliable AI systems require more than good detection techniques. They also require clear ethical boundaries, active monitoring once deployed, and a set of practices that teams can apply and repeat consistently over time.
This chapter addresses what responsible deployment looks like in practice. It covers the compliance, bias, and human-oversight considerations that apply when AI handles real decisions and introduces an observability stack for monitoring LLM applications in production.
In this chapter, we will cover the following topics:
- Addressing ethical and safety considerations
- Monitoring LLMs in production
Technical Requirements ...
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