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9 articles
Learn to implement Microsoft's AI Code of Conduct principles by building a safety framework that prevents harmful behaviors like system exploitation and deception while promoting human-centric AI interactions.
Learn how to build an AI model validator that performs safety checks before training, implementing responsible AI practices similar to those advocated by Sam Altman.
Learn how to build a basic AI web agent that can safely interact with web content, inspired by OpenAI's recent autonomous agent incident. This beginner-friendly tutorial teaches web scraping, logging, and responsible AI practices.
Learn to build an AI governance monitoring dashboard that visualizes safety scores and compliance metrics for AI development projects, demonstrating practical applications of responsible AI practices.
Learn to build a monitoring system for AI models that tracks predictions, detects anomalies, and logs performance metrics - essential skills for responsible AI development in today's regulatory landscape.
Learn to compare and evaluate different AI models using the Hugging Face Transformers library, a crucial skill for understanding the political consequences of AI advancement.
Learn to build a basic AI ethics framework that evaluates AI projects against key principles like fairness, transparency, and accountability - similar to OpenAI's approach.
Learn how to use AI tools like ChatGPT responsibly with best practices for accuracy, transparency, and ethical usage.
Learn how to responsibly use AI chatbots like Microsoft Copilot by understanding their limitations and developing healthy skepticism around AI outputs.
