Consumers approve of firms that do the work to make an industry seem legitimate. Those that free-ride on that “legitimation work” are seen as less authentic.
Terms that caught readers’ attention this year include low-ego leadership, glass cliff, financial nihilism, greenhushing, and exaptation strategy.
Once again, AI was everywhere. But research about federal spending leads the list.
Scenes from Sloan Women in Management’s Breaking the Mold conference
Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.
From liquid green fuels to air-cooled nuclear batteries, here are new technologies that aim to reduce carbon emissions and transform heavy industry.
Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
The LIHEAP formula for calculating energy aid was written in the 1980s. Researchers propose a solution that recognizes the cost of cooling a warming south.
A new MIT CISR research briefing examines data, analytics, and technology executives’ early GenAI experiments and the challenges for implementations of GenAI tools and GenAI solutions.
