AI & Machine Learning

On the Me, Myself, and AI podcast, venture capitalist Hina Dixit shares her criteria for investing in AI startups.

Two business strategists explore ChatGPT’s capacity for generating new ideas and strategies — and where it falls short.

Instagram’s Stephanie Moyerman discusses AI’s role in supporting social media safety on the Me, Myself, and AI podcast.

Researchers discuss the potential benefits of using artificial intelligence to redefine KPIs and strategic measurement.

It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.

WWF’s Dave Thau discusses how artificial intelligence aids nature conservation efforts on the Me, Myself, and AI podcast.

Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.

The delegation of managerial functions to algorithms transforms management practices.

The journey to be more client-centric has brought a focus on artificial intelligence and data at Northwestern Mutual.

Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.

Experts consider whether generative AI tools like ChatGPT will refuel Google’s and Microsoft’s search engine rivalry.

On the Me, Myself, and AI podcast, Microsoft’s Eric Boyd discusses Azure and democratizing artificial intelligence.

Consumer fears of losing autonomy hinder smart-product adoption and use. But there are ways to boost customer control.

UC Berkeley’s Ziad Obermeyer discusses how machine learning and AI are being used for medical research and diagnoses.

It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.

The human side of data continues to challenge companies.

Strategy experts weigh in on the macroeconomics of using AI technology to match people to presents.

Artificial intelligence is quietly improving the management of data, including its quality and security.

This issue of MIT SMR focuses on creating and managing successful, engaged teams in a pandemic-changed world.

Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.