Algorithms for a Fairer World
Machine learning technologies hold the potential to revolutionize decision-making. But how can we ensure AI systems are free of bias? Our experts weigh in.
Machine learning technologies hold the potential to revolutionize decision-making. But how can we ensure AI systems are free of bias? Our experts weigh in.
We increasingly rely on AI models in our daily lives—from traffic navigation and shopping apps to AI-informed care decisions made by our doctors. Given their ubiquity and influence, how and why should we trust these decisions? Can we be certain the models’ predictions are free of biases or errors?
Harnessing advances in data science and AI, Whiting School researchers are working closely with clinicians to improve care for a broad array of debilitating conditions.
Inside the historic Stieff Silver Building, JohnsHopkins has built the world’s top facility forstudying the atomic structures of materials.Researchers across the Whiting School are usingit to reshape fields from energy to oncology.
Biomedical engineer Jennifer Elisseeff is known for asking bold questions and pursuing seemingly “outlandish” ideas that pay off big. Her latest cross-disciplinary pursuit? Unlocking the mysteries of aging.
They say that beauty lies in the eye of the beholder. But sometimes it’s too small, too complex, or even too fast for the naked eye to comprehend. Using advanced technology, our engineers are making the unseen visible—and transforming science into art.
Four billion people around the world speak languages not served by Siri, Alexa, or chatbots—to the detriment of global public health, human rights, and national security. Here’s how our experts are leveraging artificial intelligence to achieve digital equity for people the world over.
Whether they share their vision on a flash drive or scrawled on a paper napkin, engineering faculty and students know they can count on experts in the Whiting School’s Machine Shop to bring ideas to life.
Insects and arachnids inspire crucial research across the research ecosystem at Johns Hopkins—from robot design to tumor tracking.