Data, AI, & Machine Learning

Experts say fostering trust between users and society is the foundation for responsible AI innovation.

With AI still making wild mistakes, people need cues on when to second-guess the tools.

Leaders must be armed with the right tools and knowledge to navigate the ethical implications concerning data to avoid biases .

Even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans.

Lessons from two leading hospital systems show how to overcome the obstacles to automation.