AI hiring perpetuates familiar biases. Here’s how to avoid that trap
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
Jacklyn Dallas’ worst idea involved an iPhone and a “uniquely unappetizing” banana.
With Blendoor, Stephanie Lampkin helps organizations build a diverse workforce. To do that, she asks everyone for input.
The Zipcar co-founder shares her idea of “Peers Inc,” the organizational structure that creates collaborations between institutions and external resources and people.
Ginni Rometty on building partnerships between companies, with your board of directors, and with new hires.
Former Nutrisystem CEO Dawn Zier on straightforward communication, zero-tolerance harassment policies, and rethinking the emphasis on networking.
Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
A new book by MIT Sloan professor Emilio J. Castilla offers managers and leaders a practical, data-driven roadmap for building fairer and more effective talent management systems.
The MIT Sloan School of Management announces a major gift from alumnus Bennett (Ben) W. Golub to support the MIT Center for Finance and Policy.
Analytics skills remain outside the wheelhouse of many business leaders, who don’t always have a clear view of what data sources and analyses are necessary to formulate the insights they are seeking.