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AI risk, return high among corporate board priorities
Generative AI uses should be taken on more carefully because they carry greater risks, said professor of the practice
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Trump taking 'drill, baby, drill' plan to Venezuela 'terrible' for climate, experts warn
Professor John Sterman said: "If oil production goes up, climate c
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Prioritizing innovation: Creating a secure and resilient ecosystem
In this episode of the Talking Strategy podcast, Fiona Murray, ass
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Power and Progress — Nobel laureate Simon Johnson on why AI is repeating industrial-era mistakes
In this podcast episode, professor Simon Johnson explored why autom
SSRN | September 30, 2025
Designing Adaptive Backbones
Drawing on an extensive literature review and analysis of five case studies, this paper develops design principles for backbone organizations pursuing systemic change.
MIT Spectrum | Spring 2025
Listening to Frontline Workers
A study led by MIT Sloan Professor Erin L. Kelly examines the potential for employee input to improve workplace well-being.
Ideas Made to Matter
What is secure-by-design-AI?
A development methodology for AI systems that treats security as a foundational design principle rather than an add-on feature.
PLoS ONE | July 18, 2024
The Fulfillment Center Intervention Study: Protocol for a group-randomized control trial
This journal article by Erin L. Kelly et al. describes the protocol for the Fulfillment Center Intervention Study.
MIT Sloan Management Review | Winter 2025
Craft Schedules That Work for Everyone
This article by Donald Sull of MIT Sloan and Alexander Kowalski of Cornell University's ILR School draws on Kowalski's research on scheduling practices in e-commerce fulfillment centers.
Work and Occupations|December 2025
Unfulfilled: Collaborative Robots and the Persistence of Tough Jobs in e-Commerce Warehousing
In this study, Alexander Kowalski PhD '22, a Cornell University assistant professor, found that fulfillment center workers who work with collaborative robots do not experience improved job quality.