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.pdfAI’s Bizarro World, we're marching towards AGI while carbon emissions soar | FortuneAI Index Report 2024 – Artificial Intelligence Index Is the future of AI sustainable? A case study of the European Union | Emerald InsightCommunicating Climate RiskArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry LettersBloomberg - Are you a robot?https://unfccc.int/news/cost-adapting-climate-change-could-hit-500-billion-year-2050RedirectingArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry LettersArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry LettersArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry Lettershttps://doi.org/10.1002/widm.1459An Overview of Energy-Efficient Hardware Accelerators for On-Device Deep-Neural-Network Training | IEEE Journals & Magazine | IEEE XploreAligning artificial intelligence with climate change mitigation | Nature Climate ChangeArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry LettersAI | Free Full-Text | Carrot Yield Mapping: A Precision Agriculture Approach Based on Machine LearningAgroview - The most accurate AI platform for speciality cropsArtificial intelligence-based solutions for climate change: a review | Environmental Chemistry Lettershttps://www.pnas.org/doi/full/10.1073/pnas.2106140118[2310.06225] GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language ModelsThe most insightful stories about Amazon - MediumPerspectives in machine learning for wildlife conservation | Nature Communications
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Sep 13 20246 mins