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When the Best AI Isn’t Necessarily the Best AI
Why organizations might want to design and train less-than-perfect AI.
Connecting Policymakers to COVID-19 Data, Research, and Insights
HAI and the Future Society have launched a global partnership to ensure data and research will be used to answer...
AI’s Carbon Footprint Problem
Machine learning generates far more carbon emissions than most people realize. A Stanford team has developed a tool to...
Transportation and AI: Building Safe Systems in the Air and on the Road
Advances in artificial intelligence are leading to greater autonomy and improved safety in systems ranging from air...
Shaping Human Creativity at a Massive Scale
HAI fellow Pamela Chen studies how creators harness AI to go viral on social platforms and why we need to question the...
How Work Will Change Following the Pandemic
Machine learning and remote work will shift the skills that employees need and managers want.
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.
Inescapable Logics and Unresolvable Tensions: The Challenges of Tech Industry Ethics Owners
The people responsible for setting a tech company's ethics practices face ideological roadblocks.
Governments Aren’t Yet Serious About AI’s Risk to Human Rights
In the rush to develop national strategies on artificial intelligence, a new report finds, most governments pay lip...
A Simulated Playground for Robots
Stanford’s iGibson offers safe and realistic training for intelligent agents.
Emerging Models To Track and Prevent COVID-19
At a recent HAI conference, experts suggest new market structures for vaccine development and machine learning tools to...
After COVID: The Future of Work, the Shifting Labor Market, and the Need for Safe 2020 Elections
Experts examine the economic and social ramifications of COVID during a Stanford HAI conference.