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.
A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.
Plus, a new series on developing a healthy corporate culture.
Generative AI can boost highly skilled worker productivity, if organizations establish a culture of accountability and encourage role reconfiguration.
New research shows that AI delivers the most value when organizations redesign workflows, not just when they automate individual tasks.
New research can help business leaders identify and address AI components that introduce risk, such as training data, foundation models, and user prompts.
Gaye Bok, an MIT Sloan alum, heads up the Mass General Brigham’s (MGB) $30M AI and Digital Innovation Venture Fund (AIDIF).
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.
Insights from Uber, Airbnb, and other major players headline report from MIT’s 2018 Platform Strategy Summit.
