Sustainable Development Goals (SDGs) are a set of 17 global goals adopted by all United Nations member states in 2015 as part of the 2030 Agenda for Sustainable Development. They aim to address major global challenges, including poverty, inequality, climate change, environmental degradation, peace, and justice. The SDGs are interconnected, meaning progress in one area affects others, and they focus on promoting sustainable development by balancing economic growth, social inclusion, and environmental protection. The goal is to achieve a better, more sustainable future for all by 2030. AI can accelerate the pace of SDG.
If we think for ourselves, then we could and should go beyond and do better than the SDGs:
1. After Five Years https://www.psychologytoday.com/gb/blog/disaster-choice/202009/the-sustainable-development-goals-after-five-years
2. SDG18 https://www.psychologytoday.com/gb/blog/disaster-choice/202007/sustainable-development-goal-18
3. Connecting with disasters and climate change https://doi.org/10.1108/DPM-02-2017-0043
4. Connecting with health and economics http://doi.org/10.17645/pag.v4i4.729
Paradoxically: quite unlikely, as it's not much time left to 2030.
On one hand data centers are terribly energy hungry which is going in the opposite direction with emission targets. Big Tech is so desperate for more stable and not overtly expensive energy that is going to give second chance to nuclear energy and build a few new reactors in mid run.
You'd need some breakthrough overnight to see spectacular results on major metrics until 2030. Let's say ex. AI protein folding would produce you a few brilliant drug candidates. Before you run all suitable tests and get all approvals, you're already late.
I'm not saying that it wouldn't work in mid term (most likely would), just this particular time frame is too short.
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