- ホーム
- > 洋書
- > 英文書
- > Computer / General
Description
Explore how AI can be harnessed responsibly to create a sustainable future, guided by the United Nations 17 Sustainable Development Goals (SDGs). This book emphasizes the collective power of individual and institutional actions to foster equity, resilience, and sustainability in a digital age. Structured into five comprehensive sections, you ll see how ethical AI is applied for equity, sustainability, and social responsibility in tackling global challenges effectively.
Part 1: Agenda 2030 introduces the Sustainable Development Goals, offering a foundation for understanding global challenges and the transformative role of AI in accelerating progress. Part 2: Earth explores AI solutions for land-based challenges, including resource management, ecosystem monitoring, biodiversity conservation, urban sustainability, waste management, and traffic optimization. Part 3: Air examines AI applications for improving air quality, supporting meteorology and climate forecasting, enabling smarter aviation systems, and analyzing atmospheric changes that influence human and environmental health. Part 4: Water focuses on AI-driven innovations in water conservation, desalination, filtration technologies, species and marine-life tracking, and sustainable water-resource management. Part 5: Fire addresses energy generation, wildfire prediction and management, carbon-footprint assessment of AI systems, and the role of AI in population modeling and resilience planning.
AI for Climate Action and Sustainable Development offers actionable insights for researchers, policymakers, and technologists, inspiring readers to balance innovation with responsibility, and building a just, inclusive, and sustainable future for all.
What You Will Learn
- Understand sustainability as a fundamental pillar of progress in the modern world.
- Review the ethical responsibilities that guide technological advancements.
- Gain insights into shaping a humane and inclusive digital future.
- Examine the dual impact of innovation its opportunities and challenges.
Who This Book Is For
Enthusiasts and professionals in AI, sustainability, and climate science will gain insights into how AI addresses global challenges, while policymakers and activists can explore how technology aligns with Sustainable Development Goals (SDGs) to foster social equity and environmental protection. Educators and students will find it a valuable resource for understanding AI s role in environmental science and social justice.
Part I Agenda 2030.- Chapter 1: 17 UN Sustainable Development Goals.- Part II Earth.- Chapter 2: Scarcity of Resources.- Chapter 3: Decrease in Green Spaces.- Chapter 4: Deforestation Monitoring in Siberia.- Chapter 5: Efficient Fertilizer Production Using Quantum Computing.- Chapter 6: Digital Farming.- Chapter 7: Degradation of Biodiversity.- Chapter 8: Waste Disposal.- Chapter 9: Ensuring Equitable Access and Secure Distribution of Aid for Children.- Chapter 10: Smart Cities and Urban Development.- Chapter 11: AI-Driven Traffic Management.- Chapter 12: Healthcare: Challenges, Innovations, and Ethical Considerations.- Chapter 13: OPAL: An Innovative Tool for Environmentally Conscious Development.- Chapter 14: Combating Plastic Pollution in Ghana.- Part III Air.- Chapter 15: Air Pollution.- Chapter 16: From Birds to Bees: Safeguarding Earth's Aviators.- Chapter 17: - Weather and Atmospheric Forecasting.- Chapter 18: - Smart Skies: AI-Driven Solutions for Airspace Management.- Chapter 19: - Cloud Computing.- Part IV Water.- Chapter 20: Species Conservation.- Chapter 21: Wastewater Treatment.- Chapter 22: Tracking Turtle Migration.- Chapter 23: Sperm Whale Tracking.- Chapter 24: Seawater Desalination.- Chapter 25: Intelligent Filtration Technology.- Chapter 26: Efficient Catalysts for Hydrogen Production and Reducing Coal Usage.- Part V Fire.- Chapter 27: Next Generation Nuclear Power.- Chapter 28: Wildfires and Lightning Strikes.- Chapter 29: Volcanic Predictions.
Eldar Sultanow is an esteemed IT strategist at one of the world s leading consulting firms for digital transformation, and an expert in digital transformation, innovation, and the application of cutting-edge technologies in business and societal contexts. He holds a doctorate in business informatics and has more than twenty years of experience in software development, ranging from programming to AI design. Currently, Eldar focuses extensively on the ethical issues raised by the use of artificial intelligence. He is at the forefront of driving impactful solutions that bridge technology with human-centered goals. His most recent book, Sie werden mit dem nächsten freien Chatbot verbunden , was published by Redline Verlag. As a visionary thinker and engaging keynote speaker, Eldar inspires organizations and audiences worldwide to embrace digital advancements while prioritizing sustainability, inclusivity, and responsible innovation.
Marcus Grum is a distinguished professor, researcher, and consultant specializing in the transformative intersection of artificial intelligence, business operations, and factory processes. With a focus on knowledge management and AI-driven innovation, Dr. Grum has pioneered advancements in optimizing production systems by leveraging artificial neural networks (ANNs) to enhance efficiency and adaptability. His groundbreaking work includes developing predictive models for production line performance, integrating AI to adapt to environmental changes, and applying intelligent systems to improve product outcomes, extract knowledge from AI-based systems, raise AI transparency and knowledge-driven AI management. As a sought-after keynote speaker, Dr. Grum shares his insights on the future of AI in business and manufacturing, inspiring audiences with his expertise in bridging cutting-edge technology with practical, real-world applications. As a junior professor for AI-based application systems in business informatics at the University of Potsdam and head of the Laboratory for Green AI Design , he researches sustainable, energy-effective and CO2-reduced AI realization. As founder of the AI Excellence Community, he supports next generation, high-potential AI researchers.
Mckinley Black is a celebrated vocalist and singer-songwriter, renowned for her distinctive voice and her talent for crafting compelling musical stories. As a resident artist on Germany s acclaimed Stockfisch Records, she has built a career that seamlessly blends emotional depth with the art of storytelling through song. She honed her songwriting and vocal skills at Berklee College of Music in Boston, further shaping her unique artistic voice. Recently, Mckinley expanded her horizons into Data Governance and Analytics, with a strong interest in the responsible use of artificial intelligence. Both music and data rely on structure and pattern recognition, demanding precision as well as imagination. Just as melodies emerge from recurring themes and variations, effective data practices depend on the careful organization and interpretation of patterns to uncover meaningful insights. With her unique background bridging the worlds of creativity and technology, Mckinley exemplifies how innovation thrives when diverse disciplines come together to address the world s most pressing challenges.
