Looking ahead at AI and work in 2026
With 2026 shaping up to be another consequential year for artificial intelligence, some MIT faculty members and researchers recently shared what they’re paying attention to when it comes to AI and work.
Here’s what they’re keeping tabs on.
The human-LLM accuracy gap
Rama Ramakrishnan, professor of the practice, AI/machine learning, MIT Sloan
What happens when humans outsource creativity to AI?
Fonte: mitsloan.mit.edu
