The legal issues presented by generative AI
Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.
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.
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.
New research explores how individuals’ levels of engagement variability — how consistently or inconsistently they engage in their jobs — impacts performance.
A new book from The MIT Press identifies nudges, interventions, and experiments to help companies de-bias, attract diverse talent, and manage the workforce better.
Generative AI can boost highly skilled worker productivity, if organizations establish a culture of accountability and encourage role reconfiguration.
MIT Sloan research finds that on average 82% of data monetization returns come from improving work operations and customer experience versus 18% from selling information.
The key to unlocking new digital value is aligning a reorganization around four levers: customer, capability, commercialization, and component.
Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.