Agentic AI Human-Agent Collaboration Design Patterns
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 1m | 153 MB
Instructor: Thomas Erl
As autonomous AI systems are becoming a greater part of business operations and work environments, it's becoming increasingly important to understand how these systems need to be designed to collaborate with humans. Often, the more responsibility agentic AI systems are given, the more human involvement and oversight become necessary.
In this new course, LinkedIn Top Voice and best-selling author Thomas Erl explains the common roles that need to be established for humans and AI agents to successfully work together. This course basically explores a number of specialized implementations of the human-in-the-loop concept, whereby AI systems are designed specifically for both humans and AI agents to carry out different parts of an overall workflow. The design patterns covered range from foundational collaborative designs, to system architectures that involve intelligent escalation, dynamic task allocation, and cognitive transparency, as well as correction and safety controls.
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