Artificial Intelligence
Artificial Intelligence
From health care to education, policy to art, artificial intelligence is rapidly changing our world and our daily lives.
Are we ready?
The future is now
Using AI responsibly
As AI becomes more prevalent in our lives, examining the ethical implications becomes a must. Business School Professor Tsedal Neeley explores privacy, bias, accountability, security, and sustainability.
When copyright is wrong
An AI-generated song mimicking Drake and The Weeknd hit the internet and was quickly taken down after a copyright complaint, raising questions about how copyright law will be applied to AI creations.
Will ChatGPT supplant us?
Are impressive language learning apps like ChatGPT actually going to replace humans as writers and thinkers?
Architecture in the age of AI
The advent of generative AI tools raises new questions about the role of technology, software, media, and data in architectural practice.
Minds over machines
Researchers across Harvard are exploring how we can embrace and advance AI’s benefits while still addressing issues of bias and transparency.
Human intelligence meets artificial intelligence
Breaking barriers to get to breakthroughs
Working to advance the understanding of the nature of intelligence, the Kempner Institute is bringing researchers across disciplines like computational theory, AI and machine learning, neuroscience, and cognitive science together to develop next generation AI systems.
Solving AI’s bias problem
AI systems are increasingly being used to make decisions that impact people’s lives, sometimes with unfair and discriminatory outcomes. While technology can help to mitigate bias, it can’t do it alone.
Creating responsible generative AI
New research and collaboration at the Berkman Klein Center is leading the way to developing effective mechanisms for accountable technical oversight.
Radcliffe Institute
Race, technology, and algorithmic bias
Joy Buolamwini, Latanya Sweeney, and Darren Walker discuss the limits of technology in the face of algorithmic bias, or the fact that AI systems often either mischaracterize or fail to recognize dark-skinned faces.
An AI with an M.D.
From diagnosing diseases to predicting patient outcomes, new AI models could have a major impact on the quality and efficiency of health care.
Some of the most pressing questions in medicine can be advanced through the application of AI in the clinic.”
Always advancing
Meet the institutes, initiatives, and people at Harvard pushing the current state of Artificial Intelligence into the future.
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