AI exacerbates inequality by benefiting privileged groups while marginalized communities face barriers to access, justice, and opportunity.
AI hardware requirements are increasingly generating e-waste, which contains hazardous materials and resource depletion. This requires better recycling, sustainable design and a circular economy approach.
The huge energy consumption of AI comes from the intense computing power required to train and run complex models, especially in data centers. This results in a large carbon footprint and resource depletion, requiring urgent solutions such as efficient hardware, model optimization, and the use of renewable energy.
AI can be a powerful tool to solve problems such as social welfare, inequality, healthcare and access. However, careful ethical development is necessary to avoid bias and ensure a fair and sustainable future.
