Environmental justice aspects of the (un)intended consequences of AI
AI has consequences much more far-reaching and multi-dimensional than many other technologies. How do we even start to think about the impact of AI on the Environment?
Beyond the carbon footprint of training a large machine learning model, it is helpful to consider how a model is utilized as part of a social context. From a systems thinking perspective, it will inevitably impact all other human and non-human actors already participating in that context.
The Environmental Justice movement emerged as a response to the disproportionate exposure to pollutants and environmental hazards borne by marginalized and racialized communities. The US Environmental Protection Agency defines environmental justice as "the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income, with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies." 
Around the world, we've seen the Rights of Nature movement - "the recognition and honoring that Nature has rights. It is the recognition that our ecosystems – including trees, oceans, animals, mountains – have rights just as human beings have rights." 
Puzzling through this myself, I think that any investigation of the socio-ecological impacts of AI needs to consider the following:
Data ownership and governance frameworks
The similarities and differences between data governance and climate governance models
Could new business models enable equitable futures for people and the Planet?
What do you think?