The energy sector has the highest greenhouse gas emissions by far, as illustrated by ClimateWatch. The need for urgent action to reduce emissions is thus accordingly acute in this sector.
When it comes to energy, artificial intelligence is a double-edged sword: on the one hand, it can enable highly co-optimized production and consumption, including from myriad small producers; on the other hand, training and operating large models already requires massive amounts of energy, and will become unfathomable, as adoption continues to increase.
We are enthusiastically engaging in both leveraging AI for better, more efficient energy systems, as well as in minimizing the energy its infrastructure necessitates.
Education is the most basic fundament of any vision to sustainably inhabit our environments and more broadly our planet. Not only does education have its own Sustainable Development Goal (SDG 4), it is also a recurring target in several other goals, such as Climate Action (SDG 13) and Responsible Consumption and Production (SDG 12).
Language technology and artificial intelligence in general hold a lot of promise for increasing both the access to education and the quality of that education. Thanks to the widespread adoption of mobile devices, digital learning products can reach virtually everyone. And with artificial intelligence, those products can be tailored to individual needs in an economically viable way.
With strong expertise in language technology, Crafted AI is deeply involved and invested in fulfilling both of those promises, while mitigating the risks of artificial intelligence.
Forests are considered part of the Land Use, Land Use-Change and Forestry (LULUCF) sector, which is both a source and sink of emissions and thus the key sector to get to net-zero emissions.
Managing forests in ways that are both sustainable and economically viable continues to be extremely challenging for a variety of reasons, including the conflicting nature of both goals in the short term, the threat of illegal activities, the threat of natural adverse events. Artificial intelligence can provide fresh approaches to these problems, with solutions such as forest inventory, detection of illegal activities, carbon mapping, ecosystem services provision etc.
Being new to the application of AI for sustainable forest management, we bring a fresh perspective and the pinch of naivety necessary for pursuing seemingly impossible challenges.