5 things to consider when working with AI
Researchers at the MIT Initiative on the Digital Economy share the latest insights about getting the most from working with AI, such as personality pairing and reorganizing job tasks.
Researchers at the MIT Initiative on the Digital Economy share the latest insights about getting the most from working with AI, such as personality pairing and reorganizing job tasks.
As organizations scale generative AI, traditional governance models prove to be too rigid or too loose. Minimum viable governance calibrates oversight to risk, enabling responsible innovation.
Companies are doubling down on ESG. As the sector grows in complexity, MIT Sloan investment expert Gita Rao details four issues that warrant a closer look.
Artificial intelligence can make workers more capable and productive, but only if leaders design and deploy it to augment human judgment.
Three levers — data architecture, data preparation, and data permissions — determine whether data becomes a reusable strategic asset or stays trapped in silos.
From ChatGPT to advanced industrial design AI tools, companies in every industry are turning to generative AI to cut costs and increase productivity.
The Queensland will be hosting a weeklong set of key innovation and entrepreneurial ecosystem building activities led by MIT in early 2019.
Research shows that people tend to spend more when using credit cards compared to cash. However, it is unclear whether credit cards act to “release the brakes” on spending or instead “step on the gas.
Now in its 7th year, the MIT delta v student accelerator is once again underway at the Martin Trust Center for MIT Entrepreneurship this summer.
New research challenges European Union policy that wood bioenergy is carbon neutral