Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.
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.
MIT Sloan Action Learning - In each project the ultimate goal is to improve the quality of healthcare and patient outcomes.
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.
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.
After taking second place at the MIT $100K Entrepreneurship Competition Launch event in May, Inclusively.ai wants to make diversity, equity, inclusion, and belonging even more actionable.
