Thanks to AI, we are on the cusp of a transformative, life-altering revolution in global public health. Deploying AI in low and middle-income countries leapfrogs existing medical and public health infrastructure, adds essential capacity to countries with a dearth of doctors, public health workers, and aid specialists, and accelerates vaccine development that will dramatically improve health outcomes.
For Generative AI (GenAI) to be truly useful, however, it needs to do things that help countries and organizations achieve their goals, safely, reliably and affordably — especially in the global health sector. With the excitement of getting AI into projects as soon as possible, it can be tempting to simply add a prompt to ChatGPT and call it a day.
At Cooper/Smith, however, we are focused on providing our clients with safe, secure, and afford GenAI that makes sense for the global health sector.
Here are some examples below on how we are thinking about and using GenAI in our work:
The Case for AI in Global Health
The potential of AI in global public health, especially in low-income countries, is immense. While concerns about risks are valid, the life-saving benefits of AI, particularly in healthcare for low- and middle-income populations, cannot be overstated.
| Read the article here |
Deploying Gen AI in the Real World
We’ve put together a “how to” deploy GenAI in the global health real world, prioritizing safe, security, and reliability.
| Read the article here |
Are Current Benchmarks Sufficient?
Generative AI holds promise for revolutionizing healthcare planning in low- and low-middle income countries (LMICs), yet concerns over privacy, ethics, and data security persist.
Despite efforts to identify benchmarks for AI applications in global health, the dearth of appropriate datasets underscores the need for developing tailored benchmarks tailored to primary health care and HIV-specific use cases in Africa.
| Read the article here |
For more information email: contact@coopersmith.org