A selection of world thoughts – about AI – for global citizens.
What are the global perspectives on AI? Here, you will find a selection of articles from top newspapers, research publications, and leading magazines from around the world, exploring AI’s impact on language, culture, geopolitics, and economies. Our collection of local sources helps you understand the global landscape and navigate change through innovative ideas, keeping you informed about what’s relevant in this constantly evolving field.
Updated weekly (last update 10/12/24)
Most Read Articles in 2024
AI + BUSINESS
Reskilling in the age of AI
The upcoming changes will affect not only data scientists but all areas of business. Learn how to lead the entire company through this process, introducing five new paradigms for leaders and those who want to reposition themselves.
Read the full article on the Harvard Business Review
AI + CULTURE
How Culture Shapes What People Want from AI
When a team of Stanford researchers applied cultural psychology theory to study what people want from AI, they found clear associations between the cultural models of agency that are common in cultural contexts and the type of AI that is considered ideal. This paper investigates how the cultural framework changes the perception of people about AI.
Read the full paper on HAI Stanford
AI + INNOVATION
The AI project pushing local languages to replace French in Mali’s schools
In 2023, French was declared to be no longer an official language in Mali, with a shift towards providing education in Bambara (the most widely spoken language in the country). There are several interesting elements at play: the role of AI in the post-colonial cultural transition of countries grappling with independence, AI in the empowerment of Indigenous languages (also exemplified by Brazil), a model based on the Western worldview of AI development, and the use of AI to ensure more efficient access to education worldwide.
Read the full article on Rest of the World
LANGUAGE INSIGHT
Can You lose your Native Tongue?
In this article, Madeleine Schwartz analyzes the difficult nature of a bilingual mind and explains how, in certain circumstances, it’s possible not only to learn multiple languages, but also to lose them. Talking in multiple languages isn’t an equilibrium where the languages coexist. Each tries to attract all the attention for itself, and many factors contribute to remembering (or forgetting) a language.
Read the full article on The New York Times
SCIENCE SPOTLIGHT
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
While LLMs are getting good at answering general questions, they still need help from a domain-specific corpus as a knowledge bank to answer specialized questions. In contrast to the existing “RAG (Retrieval Augmented Generation)” approach of retaining the knowledge bank in the plain textual format, this work, through their “Graph RAG” approach, proposes to instead represent it in a structured, graph-based format. To build the graph, the authors use an all-LLM approach to weave together communities of related concepts in the domain. All such concepts or entities and the relations between them are automatically detected by LLMs from the knowledge bank. When asked a question, the communities are queried individually to get community-specific answers, all of which are then compiled together into a unified global answer. The authors show the benefit of this paradigm in increasing the comprehensiveness and diversity of the answers.
Discover the full lecture here
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