AI and Machine Learning

How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.

Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.

Research shows how using an AI-augmented system may affect humans’ perception of their own agency and responsibility.

Previous waves of technology have ushered in innovations that strengthened traditional organizational structure. Not so for generative AI and large language models.

Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.