Since ChatGPT launched in November 2022, many non-profit organizations have used it to drive efficiency and innovation. However, non-profits could jeopardize public trust in them without knowing how generative AI affects them, their donors, and their clients.
Humanitarian responses need reliable communications infrastructure. Equipping municipal staff with the technical skills to repair damaged infrastructure could be crucial as climate change continues to increase the frequency of natural disasters.
Internal data collection is one way for social purpose organizations to become more inclusive and accommodating — something that can improve their overall impact in the communities they serve. But the process isn’t without pitfalls. Responsible data collection requires careful planning and a trauma-informed approach.
Misinformation and disinformation that originates online can not only cause confusion and distrust among communities, but can also be directly tied to racism, misogyny and queerphobia, putting certain people at risk. For staff in community organizations, having to speak to the community about the origins of false information, or reporting the information appropriately such that it doesn’t spread, can add to their already heavy workload.
Frontline staff are increasingly using social media and smartphones in their work with communities — particularly while on the move. Co-creating a cybersecurity policy with communities can reduce or remove the need for technical experts, as well as making cybersecurity everybody’s responsibility in an organization.
As artificial intelligence becomes more ubiquitous, the charitable sector is at risk of being left behind if they don’t feel they have the adequate knowledge and resources to learn about AI-based tools and applications.
