Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.
Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.
Entrepreneur Achenyo Idachaba-Obaro shares why she doesn’t allow unavoidable biases to bother her, and how she’s prioritizing her employees’ health care.
A responsible AI framework mitigates the risks from artificial intelligence systems developed outside the company.
A startup showcase featured AI-enabled apps for small-business owners, wearable devices, and financial trading at quantum speed.
Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.
Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
No. 1: Taking responsibility for analytics and artificial intelligence.
China’s economy is stagnating. A new book from China expert Yasheng Huang mines the past to explain the country’s current economic fall.
MIT Sloan’s Hal Gregersen and Pixar co-founder Ed Catmull on why leaders must be purpose-driven and long-term oriented to successfully navigate change.
