A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.
2 MIT researchers say we’ve got to rethink mind and machine, product and platform, and core and crowd.
Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.
Fall 2021 update of the HSI Research on Analytics-based opioid overdose prediction
To foster a data-centric culture, adopt the right technology, improve data literacy, and don’t be afraid to disrupt the status quo.
AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.
Software developers with access to a generative AI tool do more coding and less project management, according to a new study.
AI performance is improving across many workplace tasks broadly, not in sudden shocks, new MIT research finds. That cadence gives companies and workers time to prepare for task-level displacements.
Natalia Levina, PhD ’01, and Rumman Chowdhury, SB ’03, spoke at the second annual Social Media Summit@MIT, a virtual gathering hosted by the MIT Initiative on the Digital Economy, in late March.
A “red light, yellow light, green light” framework can help companies streamline AI governance and decision-making.
