Generative AI

Learn more about Generative AI, the technology that learns how to create new content from past data and is also capable of tasks such as translation, summarisation and even image, video and music generation.

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What is Generative AI? 

Generative AI is a subset of AI that focuses on creating new content, such as text, images, music or even entire websites, without direct human input. It's like a virtual writer or artist that can produce content based on patterns and knowledge it has learned. Generative models are trained on massive datasets to understand patterns, relationships and structures within the data and use this learned knowledge to generate “new” content.

In the UN to date, the most promising use cases have to date focused on text creation, specifically content creation and summarisation, document and data analysis, communication and translation as well as chatbots.

Generative AI Primer
Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality

What is the Generative AI Practice Group? 

Together with the UN Data Strategy Team and colleagues from UN - DPPA and UNICEF, UNIN convenes a group on Generative AI. The group is open to colleagues from within the UN system wanting to learn more about generative AI and exchange with more technically minded colleagues. Its overall objectives are to:

- Foster an understanding of Generative AI, the opportunities and challenges it presents

- Map out the Generative AI landscape and applications across the UN

- Developing a knowledge repository

- Connect colleagues working on Generative AI applications to expertise (both internal and external)

- Help to avoid duplication of efforts by creating a platform that enables joint learning and exchange

The Generative AI Practice Group is currently only open to colleagues working in the UN system.

Innovation in

Generative AI

November 17, 2023
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Using large language models to help train machine learning SDG classifiers

This paper proposes the use of synthetic training data generated by large language models to improve machine learning SDG classifiers. It shows that supplementing existing training data with synthetic data produced by the ChatGPT tool improves the performance of the SDGClassy classifier.

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November 6, 2023

Trends in AI and Perspectives on Transparency

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November 2, 2023

Generative AI and Jobs: Understanding the Potential Effects of Gen-AI on the Quantity and Quality of Jobs

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October 24, 2023

UN Innovation Update 2023

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October 23, 2023

Generative AI and Education

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November 6, 2023
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Trends in AI and Perspectives on Transparency

The webinar discusses global trends in AI with a focus on generative AI and transparency.

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November 2, 2023
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Generative AI and Jobs: Understanding the Potential Effects of Gen-AI on the Quantity and Quality of Jobs

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October 5, 2023
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Large Language Models: ChatGPT, Bard, 悟道

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September 22, 2023
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Why Generative Methods Are Still Missing Something to Become Responsible

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August 29, 2023
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On the Unsustainability of ChatGPT: Impact of Large Language Models on the Sustainable Development Goals

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October 24, 2023
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UN Innovation Update 2023

The UN Innovation Update highlight how 40 UN Entities from across the system are leveraging innovative approaches in their work.

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October 24, 2023
October 24, 2023
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UN Innovation Update 2023

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October 24, 2023
October 23, 2023
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Generative AI and Education

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October 23, 2023
September 22, 2023
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Generative AI for Humanitarians

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September 22, 2023
September 4, 2023
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Guidance for Generative AI in Education and Research

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September 4, 2023
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