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A “red light, yellow light, green light” framework can help companies streamline AI governance and decision-making.

MIT Sloan research explores the promise and limits of using AI in medicine, hiring, and creative pursuits.

Enterprises racing to adopt AI must be wary of giving into hype, downplaying ethical concerns, and focusing on use cases that won’t generate real value.

Chief data officers are preparing for generative AI while continuing to work on other data initiatives, according to a new survey.

Faculty joining MIT Sloan in 2023 are experts in energy markets, machine learning, health care economics, and decision-making.

Some automation displaces workers and lowers wages. A new report argues that taxing the right technologies could help remedy this.

Nobel laureate Daniel Kahneman thinks so when it comes to reducing noise.

To improve AI adoption in your organization, pay attention to both capability and personalization, new research suggests.

Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.

Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.