Artificial Intelligence (AI) can be useful in promoting sustainability in many ways. It can facilitate predicting climate events, identifying human activities capable of harming forests and environmental preservation areas, and optimizing production processes, thus reducing their environmental impacts.

However, the development and application of AI models are not free from environmental consequences.

There are growing discussions, for instance, on the carbon footprint of training machine learning models and the impacts of extractive activities necessary for producing equipment linked to AI. The seminar will address these two sides of the relationship between AI and sustainability.

This event is part of the "Challenges and Opportunities in AI - Sectoral Perspectives" seminar cycle.

This initiative intends to create spaces for exchanges between researchers and representatives of the private sector so that we can reflect on regulatory solutions in favour of maximizing the benefits of AI and minimizing its risks.

Presenter
Carlos Silva (Lead R&D Science, Pachama)
Gustavo Pinheiro (iCS)

Debater
Miriam Garcia (CDP Latin America)

Moderator
Rodrigo Brandão (IEA-USP/NIC.br) e Veridiana Cordeiro (IEA-USP)

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