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Leading with AI
Insights for success in AI-driven organizations.
The Latest
Create a work environment where innovation thrives
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From defining impact to soliciting input, here’s how to drive innovation within your organization.
How organizations build a culture of AI ethics
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From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.
How to make data indispensable to your organization
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Effective data leadership starts with modernizing data technology — and calls for taking action, no matter how daunting.
Practical AI ideas from MIT Sloan Management Review
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Colgate-Palmolive, Sanofi, and other firms are making generative AI work for them in ways both big and (intentionally) small.
Online content moderation: What works, and what people want
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Fact-checker warnings work and are broadly popular, and other insights about social media moderation from an MIT expert.
The most serious cases reported by organizational ombuds
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When employees contact an ombuds, what issues are raised — and which are most important to all stakeholders, including the organization?
This Fintech Sandbox co-founder champions free data for startups
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Sarah Biller builds tech organizations ready for a “permissionless, frictionless, contactless” financial services sector.
Entrepreneurship and innovation strategy books from MIT
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Fundamentals and frameworks for first-time and serial entrepreneurs alike. Plus, a practical new guide to engaging with innovation ecosystems.
Smart meters generate revenue, improve efficiency for public utilities
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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.
Remembering David Schmittlein
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Schmittlein arrived on campus in 2007 “not to change MIT, but to help it be the best version of its distinctive self.”