"AI for social good" or simply "AI4good" is a distributed technopolitical movement that seeks to concentrate collective efforts toward solving problems that affect the environment and society. Technopolitical because politics, in its essence, is the collective art of building common life, as the Greek philosophers taught us long ago.

Distributed because there is not a single group or a few groups centralizing this type of effort. Different projects and efforts spread across the globe and, at a macroscopic scale, can be understood as efforts toward social and environmental good, or simply toward the collective as a whole, since a well-lived social and individual life should be connected to nature and the environment in a balanced way.

In summary: it is the direction of AI technology toward a life on Earth that is holistically sustainable. That is why the prefix <techno> in technopolitics: the construction of the common through technique and technology, inexorable factors of human culture.

Some of these incredible efforts are:

1. Water management in California:

Because it is a gigantic region, very hot and with dry summers, Southern California has been working with DataKind prediction models for a more accurate view of water demand and the intelligent use of its resources.

2. Renewable energy:

With zero carbon emissions, wind energy is excellent. However, predicting when the wind will blow and with what intensity is a difficult task. Google, associated with DeepMind, is investing in this solution and has already announced a 20% efficiency increase with its predictive models in its experiments.

3. Illegal hunting and fishing:

These activities are one of the primary causes of the extinction of many animals, such as rhinos and tigers. PAWS already uses an AI-oriented system that optimizes the patrol routes of rangers who take care of areas targeted by hunters, increasing the effectiveness of this protection of the common good.

These are just three examples in which we can see the materialization of these principles that guide the ideology known as AI4GOOD. Distributed collective actions tend to be more democratic and to leverage fairer social changes than actions centralized in hierarchical command-and-control models, which, when combined with state-of-the-art technology, produce an even more interesting potential for collective transformation.