Artificial Intelligence

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.

AI can help you choose, measure, and prioritize the KPIs informing your strategy.

Five capabilities and four practices help companies generate business value from AI applications.

New research by MIT SMR Connections and NETSCOUT reveals IT leaders’ data analytics priorities.

AI is making it possible for companies to reach a new level of customer-centric marketing.

Chatbots aren’t replacing human customer service agents — they’re making them more efficient.

Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?