Artificial Intelligence (AI) has transformed the way we live and work, developing rapidly since the creation of the first algorithms in the 1950s. Today, this evolution brings us Generative Artificial Intelligence (GAI), which stands out for generating new content, becoming a particularly valuable tool for increasing the impact of social organizations . But what exactly is GAI and how can social organizations leverage it to achieve significant results?
In this article, we've compiled the key takeaways from the 5-year anniversary masterclass of the Bem Maior Movement, delivered by Templo on August 20th. Keep reading and explore how this technology can transform your operations and multiply your organization's social impact!
What is Generative Artificial Intelligence?
Simply put, AGI is not a research tool or just a robot that automates tasks. It is a statistical model capable of predicting the most likely content in a sequence of language we provide during our interaction. In other words, machines have learned to "speak our language." They are trained to analyze large amounts of data and generate texts, images, code, or even music that appear to have been produced by humans . Among the best-known tools currently are ChatGPT and Gemini , from Google, as well as several others.
How can IAG benefit social organizations?
IAG, constantly improving, has disruptive potential in several areas. Social organizations, often limited in human and financial resources, can use technology to increase their productivity, generate new forms of interaction, and automate operational and/or repetitive tasks, allowing teams to focus on strategic activities. Here are some practical ways in which IAG can transform the work of organizations:
- Filling out tender forms : IAG can help automate and streamline the process of filling out forms and tender documents.
- Project structuring : With its ability to generate cohesive and well-structured texts, IAG can support the writing of complex proposals and projects.
- Report generation : Annual or quarterly reports can be produced more quickly and efficiently, enabling automated analysis and the generation of insights.
- Customization at scale : In fundraising, for example, IAG can personalize emails and messages for different donors on a large scale, with the desired tone and language. There is also the use of chatbots and virtual assistants that can improve the customer service experience, while maintaining a humanized tone.
- Knowledge structuring : IAG performs contextual searches in existing documents, assisting in the organization and synthesis of knowledge and facilitating access to important information.
- Training development : The creation of educational content to empower teams and beneficiaries.
- Trend analysis : By providing valuable data, IAG can be used to identify new trends in the social sector.
- Support in expansion strategy : Obtain valuable insights for the geographic or impact expansion of organizations.
Implementation strategy
Strategically integrating IAG is essential to ensure that the technology becomes an ally and not just a tool. Here are some tips on how to get started:
1 – Prompt Engineering Training : To fully leverage the potential of AAG, mastering "prompt engineering"—the new digital literacy—is fundamental. Empower your team to create clear commands and precise questions that elicit the most useful responses.
2 - Test new tools : Experiment with different AI platforms to identify which ones best suit the organization's needs.
3 – Create automation workflows : Automate repetitive processes, freeing up the team to focus on more strategic tasks.
4 - Develop specialized agents : Configure agents that handle specific tasks, such as filling out tender forms or analyzing data.
5 – Human review and curation : Always review the content generated by IAG. Technology helps, but a human eye with critical analysis is essential to ensure quality and relevance.
Here , you will find free resources from Temple on how Generative Artificial Intelligence (GAI) and other technologies can maximize the impact of social organizations.
Risks and safety in use
Like any emerging technology, IAG also brings some challenges and risks, especially when it comes to data security and ethical use:
- Information privacy : It is important that social organizations exercise caution when using open tools such as the free ChatGPT, avoiding the entry of sensitive data.
- Biased algorithms : AGI is trained on large volumes of data, and often this data contains biases that can influence the generated content.
- Transparency : A lack of clarity regarding the data sources used to train AI can lead to errors or inaccurate information. Therefore, it is essential to have human oversight at all times.
However, it would be superficial to reduce all risks to just these topics. Every innovation brings a new level of responsibility. In the lecture "The AI Dilemma " by the Center for Humane Technology , it is possible to delve deeper into the challenges we need to be aware of and, as a society, define which uses should or should not be permitted.
IAG as an ally of social organizations
Despite the challenges, the use of Generative Artificial Intelligence can transform the way social organizations work, significantly increasing productivity and efficiency in their processes . With strategic implementation, organizations can prepare for a future where technology is increasingly present , but without ever losing sight of the human factor!
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