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I work in policy and research, and am exploring the potential of AI for evidence assessments. I would greatly appreciate your insights on two specific challenges:
1. AI's Role in Expanding Systematic Literature Reviews: Traditional literature reviews are constrained by the volume of material a researcher can read and assess. It seems logical that AI could extend capabilities in this area but there are significant limitations related to data processing capacities in tools such as Co-pilot and ChatGPT, which appear to cap data uploads at rather low thresholds, meaning that they can’t currently be used to work with extensive bodies of literature. Are there ongoing developments to address these limitations and enhance AI's utility to read and digest large amounts of documents?
2. Decolonizing Research Through AI: The discourse around AI and the decolonization of information at the global leaders nonprofit summit has prompted me to consider how AI can be leveraged to access and include non-English literature in evidence assessments in order to diversify and enrich evidence bases beyond the predominately English-language literature. Such strategies could involve using AI for search term adaptation, article gathering, translation, and analysis which would go a long way in decolonising the research landscape. Are you aware of any tools or methodologies that could facilitate finding literature beyond what is readily accessible in English, possibly incorporating features similar to Microsoft Academic's Cross-Language Information Retrieval (CLIR) service?
- Kim_Brooks_MSP
Microsoft
These are great questions! While there isn't a clear set of tools to solve this challenge yet, Microsoft is working across many groups to build cross-language solutions. Inclusion and transparency are key responsible AI principles across Microsoft AI. https://www.microsoft.com/en-us/ai/responsible-ai You may be interested in the work being done at Microsoft Research across responsible AI - see a recent roundup here: https://www.microsoft.com/en-us/research/blog/advancing-transparency-updates-on-responsible-ai-research/ The Microsoft Research team supports several projects to support inclusion of languages across research. As an example, the Microsoft Africa Research Institute (MARI) https://www.microsoft.com/en-us/research/group/microsoft-africa-research-institute-mari/overview/ addresses how to democratize AI at scale in Africa. Their recent publication on multi-lingual LLMs shares benchmarks and a framework for evaluating generative LLMs in a multilingual context: https://www.microsoft.com/en-us/research/publication/mega-multilingual-evaluation-of-generative-ai/ Broader research across LLMs and languages is findable here https://www.microsoft.com/en-us/research/research-area/human-language-technologies/?- MS Co-Pilot arranged these resources into a table! | **Resource** | **Link** | **Notes** | |--------------|----------|-----------| | AI assessment | [AI Assessment Tool](https://aka.ms/AI-GNPLS) | Helps nonprofits determine their next AI actions. | | Charity Digital Skills Report | [Charity Digital Skills Report](https://charitydigitalskills.co.uk/) | A report on the digital skills and confidence of UK charities. | | Nonprofit Community | [Nonprofit Community](https://techcommunity.microsoft.com/t5/nonprofit-community/ct-p/MicrosoftforNonprofits) | A platform to join the conversation and access resources on AI transformation for nonprofits. | | Digital Skills Hub | [Digital Skills Hub](https://aka.ms/digitalskillshub) | Links to free digital skills opportunities. | | Digital Skills Center | [Digital Skills Center](https://page.techsoup.org/digital-skills-center#resourcesection) | Offers free online courses on Microsoft products and services. | | CIVIC AI Observatory | [CIVIC AI Observatory](https://civicai.uk/about) | A handbook of useful resources on AI for the social sector. | | SCVO guide | [SCVO Guide on AI](https://scvo.scot/support/digital/guides/ai) | A guide for not-for-profits on AI. | | Living with AI | [Living with AI Course](https://www.scottishai.com/living-with-ai) | An entry-level AI course for the social sector. | Feel free to explore these resources to learn more about how AI can benefit nonprofits! 🌟
