Artificial Intelligence

This issue of MIT SMR focuses on the leadership qualities that enable both their businesses and employees to grow.

AI technologies can change the safety and cost equations in certain industries, including waste management.

Organizations can develop effective digital twins despite limited training data by combining AI and human knowledge.

Experts share compelling arguments for and against the creation of a CAIO role to manage AI across an organization.

This Canadian bank has become known for developing AI tools that are both innovative and responsible.

Learn about current and future opportunities and use cases for artificial intelligence in logistics.

On the Me, Myself, and AI podcast, Meta’s head of AI research describes new initiatives and support for open research.

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.

The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.

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.

Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.

On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.

On the Me, Myself, and AI podcast, Nobel Prize winner Paul Romer discusses the opportunities AI brings to education.

When humans are in the loop with an AI system, they may not feel a sense of responsibility to intervene if things go wrong.

Digital nudges can encourage reactive thinking and limit employees’ ethical thinking.