4 books on AI for Ecology [PDF]

March 06, 2025

These books explore the applications of artificial intelligence to address ecological challenges, climate change and environmental monitoring. They discover AI's role in ecological research, such as image analysis for species identification, predictive modeling for environmental change, and data integration for ecosystem management.

1. Our Planet Powered by AI: How We Use Artificial Intelligence to Create a Sustainable Future for Humanity
2023 by Mark Minevich



In the grand, cosmic dance of algorithms and ambitions, Our Planet Powered by AI by Mark Minevich is not just another book—it’s the improbable hitchhiker’s guide to the galaxy of ethical artificial intelligence. Imagine, if you will, a world where machines don’t just whir and click, but actually conspire (in the nicest possible way) to save the planet and keep humanity from its habit of spectacularly tripping over its own shoelaces. Minevich, equal parts AI guru and interstellar navigator of innovation, takes you on a mind-bending journey through the realms of adaptability, resilience and “What if we actually got this right?” Peppered with tales of how real-world titans harness AI to transform their digital spaceships, this guidebook is brimming with the kind of strategic blueprints that would make even Deep Thought pause and say, “Well, that’s clever.” From frameworks that hum like a perfectly tuned starship to the culture-shaking ethics of keeping it all fair, private and oddly human, this is the guide for anyone hoping to ride the AI comet tail toward a future not just of survival, but delightful thriving.
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2. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration
2023 by Fields, Ziska



In a universe where the fate of the environment might hinge on whether or not we can convince a marketing executive that "eco-leadership" is not, in fact, a type of green smoothie, Multidisciplinary Approaches in AI, Creativity, Innovation and Green Collaboration bounds boldly forth. It’s a book that doesn't just insist Silicon Valley isn't the sole savior of our planetary woes but suggests—somewhat cheekily—that the real answers might lie in the odd, messy brilliance of collaboration, green creativity and the stubborn insistence on making eco-innovation less like buying artisanal space yogurt and more like, well, saving the world. Packed with ideas, insights and the kind of interdisciplinary enthusiasm that might just make academics and entrepreneurs actually talk to each other without someone resorting to PowerPoint combat, this tome promises to be the essential hitchhiker’s guide for those navigating the wild, wonderful terrain of AI, innovation and the inconveniently warming planet.
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3. Artificial Intelligence for Knowledge Management, Energy, and Sustainability
2022 by Eunika Mercier-Laurent, Gülgün Kayakutlu



In a universe not entirely unlike our own, where artificial intelligence is tasked with saving the day instead of accidentally ordering 4,000 pineapples online, a group of very clever humans convened—virtually, of course, thanks to a minor inconvenience involving a global pandemic. What emerged was Artificial Intelligence for Knowledge Management, Energy and Sustainability, a tome brimming with 15 profoundly intricate papers (and a couple that didn’t quite make the cut) originally destined for a conference in Montréal, but instead shared from countless living rooms and a suspiciously large number of kitchens. Covering everything from the mysteries of knowledge management to the high-stakes drama of sustainable energy, this book asks—and sometimes answers—how AI might just fix some of the universe’s stickiest problems, or at least make us look terribly sophisticated while trying.
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4. Artificial Intelligence and Conservation
2019 by Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre



Imagine a universe where artificial intelligence, that bafflingly clever stuff that usually tries to sell you shoes or improve your selfies, is instead busy saving the planet. Artificial Intelligence and Conservation is the tale of how a bunch of extraordinarily brainy humans from fields like computer science, ecology, economics and psychology got together and thought, “What if we stopped everything from going extinct?” From deciphering the mischievous tactics of wildlife poachers (who really ought to know better) to orchestrating patrols so effective they’d make a general weep, this book is a whirlwind tour of algorithms heroically wrangling poaching, protecting coral reefs and outsmarting invasive species. Peppered with game theory, machine learning and other clever wizardry, it’s a story of AI at its most unexpectedly heartwarming: not just thinking big, but thinking green.
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