AI & Machine Learning

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Must-reads for managers: sabotage your company, AI passes eighth grade, and those pesky customers.

Digital business means constant uptime — and relentless pressure on enterprise IT. But AI can help.

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

#MITSMRChat participants shared ideas about best practices for organizations implementing AI.

Must-reads for managing in a digital age: tech giants on privacy, influencer marketing done right, climate change.

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

Must-reads for managing in a digital age: hacking inequality at home, the AI jungle, and why you should kill your favorite meeting.

As AI becomes more ubiquitous, we need clear systems for keeping it in check.

The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.

This week’s must-reads for managing in the digital age.

MIT SMR and BCG host a Twitter chat focused on the corporate adoption of AI.

How cities deal with AI-related changes will determine which ones will thrive in the future.

The time when companies could simply ask the world to trust AI-powered products is long gone.

A successful pitch for AI must overcome economic, technical, political, and cultural hurdles.

Tim O’Brien explains his role as Microsoft’s first full-time manager for AI policy and ethics.

MIT SMR‘s Summer 2019 issue takes a closer look at the cultural changes adopting AI may require.

A mental vacation is good for your powers of creativity.

To adopt intelligent technologies, companies need to develop both the right tools and human capital.

Cognitive speed bumps in AI design can prompt users to engage in reflective thought.