Algorithms

The “sharing economy” has fallen short of its promise to workers. A new book proposes a better way.

Ask these four questions to determine whether your AI system is really an AI solution.

Swarm systems draw input from individuals and use algorithms to optimize system performance in real time.

Disruption detection and delusions, ethical implications of new technologies, and nudge engines.

The changing role of CEO, designing AI systems customers won’t hate, and a lesson from Beethoven.

Companies implementing AI must protect customers’ autonomy, privacy, and individuality.

MIT Sloan Management Review‘s Fall 2019 issue looks at customer experience, collaboration, and cybercrime.

Data and algorithms can mitigate gender bias in venture capital funding.

Organizations need algorithmic smarts to excel in the future of work.

It’s not enough to be right. You also have to sell your model or idea to have an impact.

Recommendation algorithms don’t just reflect consumer preferences — they also shape them.

With a new scrutiny around technology user data and privacy, we must not forget about the potential dangers of the technology itself.

Behind every piece of code that drives our decisions is a human making human judgments about what matters and what does not.