As someone working in data-intensive environments, I often rely on generative artificial intelligence to streamline analysis and synthesize complex information. Large Language Models (LLMs) like ChatGPT and Claude are powerful tools, but without safeguards, they can slowly erode critical thinking skills in an organization. Preserving critical thinking skills while intelligently mitigating LLMs dependency is critical in today’s AI-augmented workflows.

Discover how data quality and context for AI drive smarter decisions by turning raw data into reliable insights through an integrated, proven strategy.

Discover how the trustworthy AI assessment Framework for Ethical Development analyzes complexity, consequences, and data to ensure ethical AI innovation