Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
This Entrepreneurial Strategy Compass from MIT Sloan helps startups avoid conflicting advice and choose the right path to commercialization.
Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.
Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.
Nearly 120 million smart meters had been installed by U.S. electric utilities as of 2022, but their impact had not been quantified until now.
Schmittlein arrived on campus in 2007 “not to change MIT, but to help it be the best version of its distinctive self.”
Fundamentals and frameworks for first-time and serial entrepreneurs alike. Plus, a practical new guide to engaging with innovation ecosystems.
When employees contact an ombuds, what issues are raised — and which are most important to all stakeholders, including the organization?
Colgate-Palmolive, Sanofi, and other firms are making generative AI work for them in ways both big and (intentionally) small.
