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AI Ethics Toolbox

AI ethics resources for faculty use. Including valuable AI tools specifically relevant for teaching AI ethics.

The opinion piece in The Washington Post discusses the potential of artificial intelligence to revolutionize global health care, particularly in developing regions. It highlights how AI-powered tools, such as portable ultrasound devices and diagnostic systems for tuberculosis, can improve access to medical care where resources are scarce. By providing more accurate diagnoses and supporting health care workers with limited training, AI has the potential to bridge gaps in medical services and enhance patient outcomes.

This video explores how artificial intelligence can transform health care, offering improvements like more efficient diagnoses and safer treatments. It highlights AI's potential to address key challenges faced by patients, including reducing diagnostic errors and personalizing medical care.

 

In this TEDx Talk, Dr. Lily Peng, a physician-turned-technologist at Google Health, discusses the transformative potential of artificial intelligence in health care. She shares her journey from practicing medicine to working with AI, and how her team has used AI to solve significant medical challenges.

 

This video discusses a two-year project led by the Office of Global Insight and Policy that aims to understand how artificial intelligence can be used to protect, provide for, and empower children.
 

This link directs you to the UNICEF Office of Research – Innocenti, a hub for research and insights focused on improving the lives of children worldwide. The site provides access to a wide range of studies, reports, and data on pressing issues such as child rights, education, health, and social protection.

This video highlights how a Malaysia-based startup is leveraging artificial intelligence to support independent living for elderly individuals. 

The USAID webpage on "Artificial Intelligence in Global Health" explores the potential of AI to address critical health challenges in developing regions. It highlights how AI technologies can be applied to improve health outcomes through better diagnostics, predictive analytics, and enhanced decision-making tools for health workers.