Event Summary: “Innovative Use of AI by European Civil Society” | GLOBSEC

Applications of AI


On June 26th, GLOBSEC hosted an online discussion to highlight innovative uses of AI by European civil society organizations, explore tools and technologies from leading tech companies designed to support these efforts, and address ethical challenges and concerns related to AI in civil society. If you missed it or would like a refresher, read the event summary below. The summary includes a summary and a list of the specific AI tools that were discussed.

The session was opened by the moderator. Mark Fadour of AI ForensicsWho He highlighted the ubiquitous role that AI plays in both the personal and professional spheres.He noted that consideration needs to be given not only to AI's potential to be used for disinformation and other harmful activities, but also to its potential to assist individuals and organizations.

Kateřina Anna Magnna of Microsoft introduced the latest AI tools and platforms that Microsoft has developed to support civil society efforts. she, The importance of mastering these tools to increase efficiency“Tasks that once took an hour can now be completed in seconds with AI,” said the company, which is a leader in AI and cloud computing. “This technology can benefit organizations of all sizes, allowing them to automate routine tasks, generate actionable insights from data, streamline decision-making, engage with stakeholders more effectively, and strengthen security measures.”

Microsoft is also aware of the resources Constraints faced by NGOsTo address this challenge, especially in companies with limited budgets and manpower, A set of training, tools and hubs to help NGOs use AI effectively. All of this is detailed below. Caterina also said that Microsoft Special rates, discounts and licenses for NGOsIt also said that NGOs can contact Microsoft directly through its “nonprofit community” or philanthropy team if they have any queries or suggestions.

Ognjan Denkovski of Democracy Reporting International (DRI) spoke about how DRI is applying AI. He discussed their work, providing practical examples that other civil society organisations could replicate. Use of AI tools for topic modelling, toxicity analysis of online content, machine translation and early detection of techniques that may be used for disinformationThe details are in the list below.

Ognyan also explored DRI monitoring recent European Parliament electionsThey applied topic modelling and toxicity analysis across eight countries to generate an overall toxicity score. The findings, published online, highlight the prevalence of harmful language in discourse.

He also worked on a less recent project, Disinformation Radar,use An in-house developed AI tool for early assessment of the potential impact of emerging tech tools on disinformationThe developed toolset automates the collection and analysis of data from electronic preprint repositories (arXiv), industry papers (syncedreview.com) and policy publications (IEEE), creates clusters of technology-related topics and calculates a potential score for misinformation based on mentions in the dataset.

Paola Gálvez Callirgos, an independent consultant working internationally in technology policy and AI governance, shared her insights on how AI tools can be used to enhance the work of CSOs. She outlined her strategy Leverage AI to enhance fundraising, boost creativity, clearly communicate program impact, and strengthen community connections.

Paola highlighted a key issue in fundraising: its highly transactional nature often discourages repeat donations. This has led to a reactionary approach in CSO work, a sense of urgency in communication that has led to high burnout rates among development staff, and low donor retention. She noted that this dynamic is damaging to the sector. However, Paola said: AI has great potential to revolutionize fundraisingIt creates more meaningful interactions for all stakeholders involved and ensures the sustainability of the relationships that your organization values ​​most. Tools like Fundraising.ai are crucial as they can predict who is likely to donate in the next 12 months and identify donors who may not be a good fit for contact.

Paola also The critical role of data and the ability to analyze it quicklyMany NGOs Dedicated data analysts are in short supply, making AI a valuable asset This is because it allows organizations to generate summaries and analyses.

A list of useful AI tools mentioned during the discussion:

  • Digital Skills Resource Hub – Resources on AI, cybersecurity, green skills and learning materials.
  • TechSoup: Microsoft Digital Skills Center for Nonprofits – Webinars, recordings, guides, and best practices on Microsoft AI tools.
  • LinkedIn Learning Certifications and Learning Paths – Courses on AI, cybersecurity and other digital skills.
  • DemoDays: Microsoft Tools and Technology for Nonprofits – Live and recorded webinars on Microsoft AI tools.
  • LinkedIn Nonprofit Resource Hub – Guides and best practices for maximizing LinkedIn's potential.
  • AI Explained – Resources for learning the fundamentals of generative AI.
  • TechSoup: Explore AI with Microsoft tools – Discounted learning passes for nonprofits.
  • Nonprofit Community – Discussion forums dedicated to nonprofits, providing best practices, events, and networking opportunities.
  • AI Trainer Toolkit – A toolkit for trainers to equip others with AI skills.
  • AI Learning Hub – Training resources tailored to specialized roles and specific technologies.
  • AI for Educators – Resources for understanding the fundamentals of generative AI.
  • AI Compass for Nonprofits – A tool to measure an organization's digital maturity.
  • Nonprofit Training and Resources – Self-paced, on-demand training for Microsoft solutions.

  • BER Topics – A topic modeling tool that integrates with OpenAI and Langchain to generate topic representations.

  • Perspectives API – Part of Google's Jigsaw initiative, the tool performs toxicity analysis in about 20 languages.

  • OPUS MT model – Machine translation tools based on the Transformer architecture. Useful for many language pairs, but relatively slow.

  • Fundraising.ai – Predict potential donors who are likely to give within the next year and identify donors that NGOs should avoid contacting.



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