Eleven weeks building AI systems I had to learn to trust
📰 Medium · Machine Learning
Building AI systems requires trust, which can be achieved by focusing on evidence, memory, contracts, and evaluation
Action Steps
- Build a prototype AI system to test its limitations
- Configure evaluation metrics to measure system performance
- Apply contract-based design to ensure system reliability
- Test the system with various inputs to identify potential biases
- Compare the results with expected outcomes to refine the system
Who Needs to Know This
Machine learning engineers and AI researchers can benefit from this approach to build reliable AI systems
Key Insight
💡 Trust in AI systems can be established through rigorous evaluation and testing
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💡 Building trustworthy AI systems requires focus on evidence, memory, contracts & evaluation #AI #MachineLearning
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