Manifesto: our position on AI

‍Share it and Latitudes, in partnership with Data for Good and Bayes Impact, are developing a program for acculturation and concrete implementation of generative AI in the service of the general interest: the AI for Good program.

We explain to you why.

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Generative artificial intelligence (AI) is progressing and democratizing at an unprecedented rate.

Surpassing the impact of innovations such as the Internet and smartphones, generative AI promises to reinvent cognitive and creative work. Tasks that we thought were specific to humans, such as understanding and creating complex texts and images (ChatGPT, Midjourney) or writing computer code (GitHub Copilot), can now be executed by machines with almost a human performance.
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As with any technological revolution the challenge is to guide the development and use of generative AI for the common good.

On one hand Social and Solidarity Economy (SSE) actors can benefit enormously from this technological revolution, to increase the value provided to their beneficiaries, to gain in efficiency and to develop new services. On the other hand, these same actors must also serve as an anchor to assess the real impacts of generative AI on our society, thus guaranteeing equitable and sustainable benefits for all.
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It is in this spirit that we are deploying the first free program to support generative AI, specifically designed for SSE actors.

From awareness-raising to tailor-made support, we support actors in the general interest to use these technologies wisely, and thus increase their impact. Because when you work to enable people to get out of precariousness, or when you allow students to get involved in living on a liveable planet, you deserve to have the best tools.
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Far from techno-solutionist or techno-catastrophist points of view, we adopt a techno-lucid posture, aware of the challenges, where technology is considered as one tool among others to build an equitable and sustainable society.

Beyond its positive potential, generative AI presents very real risks: bias and toxicity, reliability of information, explainability, respect for intellectual property, personal data leak, environmental impact. Moreover, its adoption and maintenance may require specific skills and budgets (e.g., prompt engineering, IT infrastructure management). Faced with these challenges, our program offers principles and concrete support to understand in which situations and how generative AI can become a factor that multiplies the impact of actors in the general interest.

Share It, Latitudes, Data for Good, and Bayes Impact