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 (IAG), which stands out for generating new content , making it an especially valuable tool for increasing the impact of social organizations . But what exactly is IAG and how can social organizations leverage it to achieve meaningful results?
In this article, we have compiled the main lessons learned from the 5th anniversary masterclass of Movimento Bem Maior, taught by Templo on August 20th. Continue reading and explore how this technology can transform your operations and multiply your organization’s social impact!
What is Generative Artificial Intelligence?
Simply put, IAG is not a research tool or just a robot that automates tasks. It is a statistical model capable of predicting what the most likely content will be in a sequence of language that we provide during our interaction. In other words, machines have learned to “speak our language”. They are trained to analyze a large amount of data and generate texts, images, code or even music, which appear to have been produced by humans . Among the best-known tools today 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 make use of 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 IAG can transform the work of organizations:
- Filling out notices : IAG can help automate and speed up the process of filling out forms and notices.
- Project structuring : With its ability to generate cohesive and well-structured texts, IAG can support the writing of complex proposals and projects.
- Reporting : Annual or quarterly reports can be produced more quickly and efficiently, enabling automatic analysis and generation of insights.
- Customization at scale : In fundraising, for example, IAG can personalize emails and messages to different donors at scale, with the desired tone and language. There is also the use of chatbots and virtual assistants that can improve the service experience, maintaining a humanized tone.
- Knowledge structuring : IAG carries out contextual searches in existing documents, helping to organize and synthesize knowledge and facilitating access to important information.
- Training development : The creation of educational content to train 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
Integrating IAG strategically is essential to ensure that technology becomes an ally and not just a tool. Here are some tips on how to get started:
1 – Training in prompt engineering : To make the most of IAG’s potential, it is essential to master the so-called “prompt engineering” – new digital literacy. Empower your team to create clear commands and precise questions that elicit the most useful answers.
2 – Test new tools : Try different IAG platforms to identify which are best suited to the organization’s needs.
3 – Create automation flows : Automate repetitive processes, freeing the team to focus on more strategic tasks.
4 – Develop specialized agents : Configure agents that handle specific tasks, such as filling out notices or analyzing data.
5 – Human review and curation : Always review 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 Templo on how Generative Artificial Intelligence (GIA) 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 are careful when using open tools such as the free ChatGPT, avoiding entering sensitive data.
- Biased algorithms : IAG is trained on large volumes of data, and this data often contains biases that can influence the content generated.
- Transparency : Lack of clarity about the data sources used to train the IAG can lead to errors or inaccurate information. Therefore, it is essential to have human curation always present.
However, it would be superficial to reduce all risks to just these topics. Every innovation brings a new level of responsibilities, in the lecture The AI Dilema (The Dilemma of Artificial Intelligence), from the Center of Humane Technology , it is possible to delve deeper into the challenges that we need to be aware of and that 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 , however, without ever losing sight of the human factor!
