AI & Machine Learning
Will AI Help or Hurt Sustainability? Yes
AI can help with the climate crisis — although it risks sabotaging its accomplishments with its swelling energy use.
Data, AI, & Machine Learning
Latest
Leadership Skills
The Six Most Popular Stories of 2024 — So Far
Explore MIT Sloan Management Review’s six most popular articles for the first half of 2024.
AI & Machine Learning
Building Connections Through Open Research: Meta’s Joelle Pineau
On the Me, Myself, and AI podcast, Meta’s head of AI research describes new initiatives and support for open research.
AI & Machine Learning
8 AI Security Issues Leaders Should Watch
What AI security issues deserve the most focus? Learn from top CIOs and AI experts in this brief video.
Talent Management
Recapping Work/24: The Human Factor
The full video of MIT SMR’s annual symposium looks at how to empower an AI-fueled workforce.
Content Sponsored by Anthology
Enhancing Higher Education With Generative AI: A Responsible Approach
Learn about the benefits and challenges of responsibly using generative AI in higher-education.
IT Governance & Leadership
Organizations Face Challenges in Timely Compliance With the EU AI Act
Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.
Skills & Learning
Authoring Creativity With AI: Researcher Patrick Hebron
On the Me, Myself, and AI podcast, developer and author Patrick Hebron discusses using AI tools enhance software design.
Developing Strategy
Our Guide to the Summer 2024 Issue
This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.
Data & Data Culture
Managing Data Privacy Risk in Advanced Analytics
Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.
AI & Machine Learning
How Generative AI Can Support Advanced Analytics Practice
The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.
AI & Machine Learning
Avoid ML Failures by Asking the Right Questions
Checking assumptions and mapping out work processes can help ensure that ML solutions fit the job to be done.
Technology Implementation
Auditing Algorithmic Risk
Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.
AI & Machine Learning
Three Things to Know About Prompting LLMs
Apply these techniques when crafting prompts for large language models to elicit more relevant responses.
Content sponsored by Persistent Systems
Data-Driven Health Care: Enhancing Patient Outcomes Through Digital Engineering
A combination of biology and digital engineering is saving lives via improved disease detection.
AI & Machine Learning
The GenAI Blind Spot Leaders Have Now
Learn which GenAI issues deserve more attention in this brief video with MIT Sloan CIO Symposium speakers.
AI & Machine Learning
Nudge Users to Catch Generative AI Errors
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.
New Product Development
If 10% of the World Were Developers: GitHub’s Mario Rodriguez
On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.
Data & Data Culture
Building a Data-Driven Culture: Three Mistakes to Avoid
Persuading employees to use data to make better decisions requires both top-down leadership and grassroots initiatives.
Equality
AI Hype and Skepticism: Economist Paul Romer
On the Me, Myself, and AI podcast, Nobel Prize winner Paul Romer discusses the opportunities AI brings to education.