Sustainable AI vs AI for Sustainability What are the differences, challenges, and opportunities скачать в хорошем качестве

Sustainable AI vs AI for Sustainability What are the differences, challenges, and opportunities

Understanding Sustainable AI vs. AI for Sustainability: A Clear Distinction In the world of artificial intelligence, two terms often cause confusion: "Sustainable AI" and "AI for Sustainability." Sagar Vishnoi clarifies these concepts, highlighting their distinct focuses and critical importance, particularly in a diverse nation like India. Sustainable AI Sagar Vishnoi explains that Sustainable AI centers on how we develop and deploy AI systems. The core idea is to create AI models and infrastructure that minimize environmental impact. This involves: Energy Efficiency: Designing AI systems and data centers to consume less energy. Reduced Environmental Footprint: Developing AI that lessens harm to the environment throughout its lifecycle, from training to deployment. Essentially, Sustainable AI is about building AI responsibly, ensuring its creation and operation are as eco-friendly as possible. It's about making the AI itself "green." AI for Sustainability Conversely, "AI for Sustainability" focuses on how AI can be utilized to address societal and environmental challenges, promoting long-term positive impact. This involves applying AI as a tool to achieve sustainable development goals. Examples highlighted by Sagar Vishnoi include: Healthcare: Using AI to improve access, personalize treatments, and enhance overall healthcare systems. Education: Leveraging AI for personalized learning experiences and broader access to educational resources. Agriculture: Employing AI for better weather forecasting, predicting crop yields under varying conditions (e.g., less rain, more sun), and optimizing farming practices. Urban Infrastructure: Utilizing AI to manage transportation and traffic more efficiently, and to mitigate pollution. AI for Sustainability is about using AI as a powerful enabler to solve real-world problems and foster a more sustainable future. It's about what AI can do for sustainability. Why Both Are Crucial, Especially for India Sagar Vishnoi emphasizes that both Sustainable AI and AI for Sustainability are vital, especially for a country like India with its vast diversity and numerous opportunities. Working on both fronts is essential: Building Sustainable AI: Ensures that the very foundation of our AI development is responsible and environmentally conscious. Leveraging AI for Sustainability: Enables AI to be a powerful force for positive societal change and long-term well-being. In essence, one is about building AI in a sustainable manner, while the other is about using AI for a sustainable world. Both are complementary and crucial for harnessing the full potential of AI responsibly. #SustainableAI #AIforSustainability #ArtificialIntelligence #GreenAI #AIImpact #TechForGood #EthicalAI #AIinHealthcare #AIinEducation #AIinAgriculture #SmartCities #EnvironmentalAI #AIdevelopment #IndiaAI #TechExplained #FutureOfAI #AIInnovation #ResponsibleAI #SagarVishnoi