The Age of Trust, Part 2: The Global Network

1. 1Build a mental model of trust in AI systems using graph theory
2. 2Run a thought experiment on how trust propagates through a global network
3. 3Configure a simple trust metric to evaluate node relationships
4. 4Test the robustness of trust in a network against adversarial attacks
5. 5Apply trust-based filtering to improve data quality in AI pipelines

Developers, product managers, and data scientists can benefit from understanding the role of trust in AI-driven global networks, as it impacts their work on AI systems, data sharing, and collaboration

💡 Trust is a critical component of AI-driven global networks, enabling secure and reliable data sharing and collaboration

💡 The AI era shifts focus from knowledge to trust in global networks #AI #Trust