6 Red Flags That Keep Good Candidates from Getting Hired
Advice for individuals and hiring teams on how to overcome the most common interview derailers.
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Interview
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
Read More3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Read More3 Questions: How to help students recognize potential bias in their AI datasets
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
Read MoreResearch: The Benefits of Letting HR Decide Who Gets an Interview
A minor process change had major ramifications for who got hired—and how managers felt about HR’s involvement.
Read MoreQ&A: A roadmap for revolutionizing health care through data-driven innovation
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
Read More3 Questions: Visualizing research in the age of AI
Felice Frankel discusses the implications of generative AI when communicating science visually.
Read MoreUse the STAR Interview Method to Land Your Next Job
What it is, when to use it, and how to craft responses with clear, compelling, and memorable examples.
Read More3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.
Read MoreHow to Structure a Great Interview
The questions to ask to increase the odds of hiring the right person for the job.
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