The Spaceship

AI for the Climate

In this podcast episode of 'The Spaceship,' host Craig delves into the complex relationship between artificial intelligence (AI) and environmental sustainability. While recent reports from major corporations like Amazon and Microsoft have highlighted how AI's increasing energy demands contribute to climate change, they also suggest that AI could play a significant role in addressing these issues. Craig explores the potential of AI in fields like weather prediction and optimizing agricultural practices. However, he points out that the discourse often overlooks specifics and sometimes makes exaggerated claims about AI's abilities. While case studies illustrate instances where AI contributes to environmental sustainability, Craig emphasizes the need for more nuanced discussion and transparency. He suggests that the potential environmental impact of different AI models should be analyzed separately and in real-world scenarios. Finally, Craig challenges stakeholders to balance the rapid growth of AI technologies with sustainability responsibilities, cautioning against hype that may outpace reality. * https://static1.squarespace.com/static/65681f099d7c3d48feb86a5f/t/668ebf702516716ca72bbf98/1720631157044/unsustainability-report.pdf [https://static1.squarespace.com/static/65681f099d7c3d48feb86a5f/t/668ebf702516716ca72bbf98/1720631157044/unsustainability-report.pdf] * AI’s Bizarro World, we're marching towards AGI while carbon emissions soar | Fortune [https://fortune.com/2024/07/12/ai-bizarro-world-agi-electricity-carbon-emissions/] * AI Index Report 2024 – Artificial Intelligence Index [https://aiindex.stanford.edu/report/] * Is the future of AI sustainable? A case study of the European Union | Emerald Insight [https://www.emerald.com/insight/content/doi/10.1108/TG-06-2021-0106/full/html] * Communicating Climate Risk [https://communicating-climate-risk.org/] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=feb1cb81-feef-4ad8-89c5-7e444ba5c8b9] * Bloomberg - Are you a robot? [https://www.bloomberg.com/tosv2.html?vid=&uuid=7dea92b8-71d1-11ef-8902-adb660fa2dda&url=L25ld3MvYXJ0aWNsZXMvMjAxOS0xMS0wNy9mZWQtc2F5cy1jbGltYXRlLWxvc3Nlcy1vZi01MDAtYmlsbGlvbi1zaG93LXRocmVhdC10by1lY29ubw==] * https://unfccc.int/news/cost-adapting-climate-change-could-hit-500-billion-year-2050 [https://unfccc.int/news/cost-adapting-climate-change-could-hit-500-billion-year-2050] * Redirecting [https://linkinghub.elsevier.com/retrieve/pii/S1674927818300376] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=c1ab0321-ce5e-4869-ac34-bd45df631ec0] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=e123dd9b-f40a-439c-a723-731046a13f85] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=f91b946b-c6d5-40a6-a41a-4f41281756f3] * https://doi.org/10.1002/widm.1459 [https://doi.org/10.1002/widm.1459] * An Overview of Energy-Efficient Hardware Accelerators for On-Device Deep-Neural-Network Training | IEEE Journals & Magazine | IEEE Xplore [https://ieeexplore.ieee.org/document/9569757/] * Aligning artificial intelligence with climate change mitigation | Nature Climate Change [https://www.nature.com/articles/s41558-022-01377-7?error=cookies_not_supported&code=9fe14872-6e01-433e-bd36-f27acfbb6dbc] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=a9c6cc13-01f4-438b-a3d5-874608bbbf67] * AI | Free Full-Text | Carrot Yield Mapping: A Precision Agriculture Approach Based on Machine Learning [https://www.mdpi.com/2673-2688/1/2/15] * Agroview - The most accurate AI platform for speciality crops [https://www.agroview.ai/blog-index.html] * Artificial intelligence-based solutions for climate change: a review | Environmental Chemistry Letters [https://link.springer.com/article/10.1007/s10311-023-01617-y?error=cookies_not_supported&code=ca7af946-7516-477d-a0db-9d0124766f73] * https://www.pnas.org/doi/full/10.1073/pnas.2106140118 [https://www.pnas.org/doi/full/10.1073/pnas.2106140118] * [2310.06225] GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models [https://arxiv.org/abs/2310.06225] * The most insightful stories about Amazon - Medium [https://medium.com/tag/amazon?source=post_page-----488f2cdc39b7--------------------------------] * Perspectives in machine learning for wildlife conservation | Nature Communications [https://www.nature.com/articles/s41467-022-27980-y?error=cookies_not_supported&code=46221ddc-1da2-485d-9ffe-18e5af82a229]