Dan Capellupo

Responsible AI requires that organizations address process, technology, and people issues, according to speakers at the recent AI Summit.

Obstacles to enterprise AI adoption include lack of internal skills and poor communications between data scientists, business staff, and AI experts.

Global data privacy and consumer protection laws make it important for companies to protect sensitive data from acquisition through its use in AI models.

Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science over the next ten years.