AI & Machine Learning
How Scotiabank Built an Ethical, Engaged AI Culture
This Canadian bank has become known for developing AI tools that are both innovative and responsible.
This Canadian bank has become known for developing AI tools that are both innovative and responsible.
Image- and text-generation tools are helping innovation groups improve ideation and creativity and gain market insights.
Winning CXOs shape experiences that boost business outcomes by debunking myths about customer desires with real data.
AI can help with the climate crisis — although it risks sabotaging its accomplishments with its swelling energy use.
Explore MIT Sloan Management Review’s six most popular articles for the first half of 2024.
On the Me, Myself, and AI podcast, Meta’s head of AI research describes new initiatives and support for open research.
What AI security issues deserve the most focus? Learn from top CIOs and AI experts in this brief video.
The full video of MIT SMR’s annual symposium looks at how to empower an AI-fueled workforce.
Learn about the benefits and challenges of responsibly using generative AI in higher-education.
Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.
On the Me, Myself, and AI podcast, developer and author Patrick Hebron discusses using AI tools enhance software design.
This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.
Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.
The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.
Checking assumptions and mapping out work processes can help ensure that ML solutions fit the job to be done.
Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.
Apply these techniques when crafting prompts for large language models to elicit more relevant responses.
A combination of biology and digital engineering is saving lives via improved disease detection.
Learn which GenAI issues deserve more attention in this brief video with MIT Sloan CIO Symposium speakers.
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.