Welcome to Globe.AI!
Our mission is to create equitable, responsive AI technologies for cultures and communities around the world.
Scroll DownWHAT'S GLOBE.AI ABOUT?
Whether it is conversational AI, self-driving cars, AI decision-support systems, robots, our vision is that AI systems can adapt to individuals from various cultures and communities, including to different norms, languages, behaviors, and communication styles within countries and internationally, while ensuring that this bidirectional adaptation does not have negative implications for individuals, communities, and cultures. To what extent and how AI should adapt, however, are still open questions that Globe.AI researchers are collaboratively tackling.
People
Globe.AI is a community of University of Washington researchers with expertise in Computer Science and AI, Science and Technology Studies, Humanities, Psychology, Computing Ethics, Arts, and Communication.
Research
Globe.AI faculty, students, postdocs, and partners collaborate on a diverse set of research projects aimed to better understand and design AI systems for people with diverse cultural backgrounds.
Get Involved
If you would like to get more info about Globe.AI, are interested in working with us, or would like to fund some of our efforts, please contact us via email.
Our Focuses
Understanding and Designing AI for People Around the World
How should AI-supported decision-making tools be designed to best serve people in various countries and cultures? What happens if the AI mimics a person’s culture, dialect, and other parts of a person's cultural identity?
Teaching AI Systems to Learn Cultural Values
Can an AI, just like a child, grow up in a certain culture, dynamically adopt cultural values, and apply them in new contexts?
Auditing Problematic Socio-Cultural Behaviors in Large Language Models
How do covert harms surface in LLM-generated conversations in non-Western contexts like caste, compared to Western ones such as race? How do LLMs affect political culture?
Studying AI and AI Ethics at Scale
How can we study the perception and use of AI systems, datasets, and models with culturally diverse people? How can we do so in an ethical way?
AI Education Around the World
How can we use AI to maximize the benefits to teachers and students among different cultures?
WHAT DO WE MEAN BY "CULTURE"
We see culture as a dynamic construct that is shared by social groups through learned values, norms, and behaviors. Some of our work focuses on studying the design, use, and impact of AI in the context of national cultures, and some looks at AI in the context of cultural groups within a specific country, such as African Americans and Latinx in the US as well as intersectional identities.