Artificial intelligence

Stanford HAI — June 24, 2020

How work will change following the pandemic

Machine learning and remote work will shift the skills that employees need and managers want.

Stanford HAI — June 24, 2020

HAI Fellow Kate Vredenburgh: The right to an explanation

Do we have a right to know how AI makes decisions affecting our lives? A political philosopher shares her perspective.

HAI — May 28, 2020

A Zen Buddhist monk’s approach to democratizing AI

HAI fellow Colin Garvey discusses AI’s problematic narrative and what we stand to lose in a China/U.S. AI arms race.

May 22, 2020

Using satellites and AI to help fight poverty in Africa

A new tool combines publicly accessible satellite imagery with AI to track poverty across African villages over time.

May 21, 2020

Mapping dry wildfire fuels with AI and new satellite data

Researchers have developed a deep-learning model that maps fuel moisture levels in fine detail across 12 western states, opening a door for better fire predictions.

Stanford Institute for Human-Centered Artificial Intelligence — May 14, 2020

Grading on a curve? Why AI systems test brilliantly but stumble in real life

A Stanford linguist argues that deep-learning systems need to be measured on whether they can be self-aware.

HAI — April 6, 2020

Tracking a killer: Hunting the coronavirus with technology, AI and analytics

Experts offer Insights on mapping and forecasting virus cases during Stanford HAI’s COVID-19 and AI Conference.

HAI — April 6, 2020

Artificial intelligence and COVID-19: How technology can understand, track and improve health outcomes

Scholars, practitioners, and experts across disciplines share what’s working and where research can help during HAI's virtual conference.

March 23, 2020

Automated speech recognition less accurate for blacks

The disparity likely occurs because such technologies are based on machine learning systems that rely heavily on databases of English as spoken by white Americans.

February 19, 2020

Machine learning could speed the arrival of ultra-fast-charging electric car

Using artificial intelligence, a Stanford-led research team has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold.