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Alexis Battle, director of the Malone Center for Engineering in Healthcare and interim co-director of the Data Science and AI Institute, gives an introduction at the AI Essentials for Congressional Staffers Information Session.

Navigating AI in policy

Johns Hopkins experts recently briefed policymakers about the potential of AI to advance everything from national security to medicine.

A young doctor in an office holds a cell phone and demonstrates feeling her throat.

You gotta have faith . . . in the algorithm

Johns Hopkins researchers determine that explanations and examples improve clinicians’ trust in an AI system that assists with remote strep diagnosis.

Headshot of Brian Caffo.

What policymakers should know about AI

Biostatistician Brian Caffo explains why the Johns Hopkins University hosted a briefing to help congressional staff learn more about artificial intelligence and its many applications.

Algorithms for a Fairer World. Illustration of a person speaking into a laptop. The laptop displays a waveform and appears to generate a scale, a scribble, and a thumbs-up symbol.

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.

Illustration of human lungs affected by coronavirus.

AI can now detect COVID-19 in lung ultrasound images

An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately.

A close-up photo of a doctor taking notes on a clip board.

In others’ words: Using large language models to accurately analyze doctors’ notes and improve the reliability of real-world AI applications

Johns Hopkins and Columbia University computer scientists teamed up to combat the inaccurate correlations that artificial intelligence and machine learning models learn from text data.