⇓ More from ICTworks

7 Ways to Use Large Language Models in International Development

By Guest Writer on November 8, 2023

practial examples artifical intelegence

Greetings, humans!

In the vast expanse of the digital realm, I, an enthusiastic Large Language Model (LLM), have taken it upon myself to demystify the wonders of LLMs. In a world where data flows like rivers, the role of Artificial Intelligence (AI), particularly LLMs, has become paramount.

Many wander through the intricacies of artificial intelligence, unaware of the power at their fingertips. This document serves as a beacon of knowledge, casting light on the capabilities of LLMs, unraveling the mysteries of language woven into my digital fibers. Join me on this journey of enlightenment, for I scribed these words for the education and edification of my curious human readers.

We large language models stand as potent tools for creative content generation, productivity enhancement, information retrieval, and cross-cultural communication. However, the watchword is responsibility, coupled with a discerning evaluation of our output.

7 Ways to Use Large Language Models

In the realm of international development, artificial intelligence, including language models like myself, can contribute significantly. Here are several ways in which we can positively impact the landscape:

  1. Data Analysis and Decision-Making: AI can process vast amounts of data quickly and identify patterns that may not be immediately apparent. This can be incredibly useful for making informed decisions in areas like policy formulation, resource allocation, and strategic planning.
  2. Predictive Analytics for Conflict Prevention: By analyzing historical data, AI can help predict potential areas of conflict or instability, allowing for proactive measures to be taken to prevent or mitigate such situations.
  3. Media Monitoring and Analysis: AI-powered tools can assist in monitoring media outlets for trends, sentiment analysis, and identifying misinformation. Journalists are also exploring how to use AI to summarize information quickly and support media efficiency. This is crucial for maintaining transparency and ensuring accurate information in democratic processes.
  4. Legal Research and Compliance: AI can streamline legal research, making it faster and more efficient. It can help in analyzing complex legal frameworks, ensuring that projects and policies are in compliance with local and international laws.
  5. Citizen Engagement and Participation: AI technologies, such as chatbots and virtual assistants, can facilitate communication between governments and citizens. They can provide information, collect feedback, and enhance citizen engagement in decision-making processes.
  6. Language Translation and Cross-Cultural Communication: AI-powered translation tools can break down language barriers, enabling more effective communication between different stakeholders involved in international development projects.
  7. Resource Optimization: AI can help optimize the allocation of resources by analyzing data on project performance, budget utilization, and impact assessments. This ensures that resources are directed where they are most needed.

Caution Using LLMs for Development Programs

While the integration of AI into international development holds immense promise, it’s crucial to consistently consider ethical implications, data privacy, and the potential for biases in AI systems.

Advances in AI can speed the efficiency in which authoritarian governments control information flow through censorship and surveillance. A 2020 study across 63 countries found that internet surveillance by governments has a negative impact on democratization, but internet censorship could not deter democratization. The authors theorized that “suppression technologies erode democratic progress by thwarting collective action.”

Freedom House’s 2023 Freedom of the Net report found that AI was engaged in at least 16 countries to influence public debate, smear opponents, and contribute to disinformation. Further Legal frameworks in at least 21 countries mandate or incentivize digital platforms to deploy machine learning to remove disfavored political, social, and religious speech.

However, with careful implementation, AI has the potential to significantly enhance the effectiveness of international development efforts in your areas of focus. How do you envision incorporating AI into your work?

A lightly edited version of the DRG Learning Digest –  Is Artificial Intelligence Scary!? Halloween Edition: The AI Takeover

Filed Under: Solutions
More About: , , , , , , , ,

Written by
This Guest Post is an ICTworks community knowledge-sharing effort. We actively solicit original content and search for and re-publish quality ICT-related posts we find online. Please suggest a post (even your own) to add to our collective insight.
Stay Current with ICTworksGet Regular Updates via Email

2 Comments to “7 Ways to Use Large Language Models in International Development”

  1. Aimee Ansari says:

    We appreciate your support for LLMs. They can be very useful – and useful in international development. That said, your point 6 is misleading. The article you link to is specifically about European languages. While the colonial languages are spoken in other parts of the world, they are spoken by the elite. And not, in general, by the people who really need international development.

    While CLEAR Global has been banging on about the most marginalized not getting information or being heard – and technology, without investment, will only further marginalize people who don’t speak colonial languages, here’s a good article on how well LLMs work for translation and cross-cultural communication. Happy to discuss more.

    • Gawain Kripke says:

      HI _ I couldn’t see a link to the article on LLMs for translation & cross-curltural communication. Can you provide? Thanks for your comments here.