Literacy in AI Translation for Healthcare Settings

• Evaluate different translation technologies powered by artificial intelligence (e.g., Google Translate, SayHi, ChatGPT) as well as the translations they produce.
• Identify potential risks and sources of mistranslations.
• Assess the appropriateness of these technologies in various healthcare settings.
• Apply strategies to improve translation quality according to your needs.
• Develop multilingual health communication strategies and policies for high-stakes scenarios.

1. Migration and Language Barriers in Healthcare Settings
2. AI-driven translation technologies: fundamentals
3. How and when (not to use) AI-driven translation technologies

Globalization and migration have made societies increasingly multilingual. Many migrants lack sufficient proficiency in the host country’s language to understand public health guidelines or exchange critical health information with medical staff. To overcome language barriers, healthcare providers and institutions often rely on AI-powered translation tools such as Google Translate or ChatGPT. However, the improper use of these tools can compromise sensitive patient data and lead to mistranslations that distort critical meanings, putting migrant patients’ health and lives at risk.

Enhancing AI translation literacy among frontline healthcare professionals and content developers is key for delivering inclusive health services and ensuring equitable access to health information for all, regardless of the language they speak.

With the knowledge of experts in multilingual health communication, this course will equip you with essential skills to optimize the responsible use of AI translation tools when creating and sharing public health information or interacting with migrant patients.

<p>To obtain certification, participants must correctly answer 10 questions in the final quiz with a score of 80% or higher.</p>