AI and Environmental Impact Flashcards

Vocabulary flashcards related to the environmental impact of artificial intelligence, covering energy consumption, carbon emissions, and potential solutions.

AI Development and Deployment

Refers to the creation, training, and implementation of artificial intelligence systems, which can have significant environmental impacts due to high energy consumption.

Carbon Emissions from AI

The output of greenhouse gases, particularly CO₂, from the energy-intensive processes involved in training and running large AI models.

Data Centers

Facilities that house computer systems and associated components, which are critical for AI processing and storage but consume large amounts of electricity.

Green AI

The practice of designing and deploying artificial intelligence technologies in a way that minimizes environmental impact and maximizes energy efficiency.

AI in Environmental Monitoring

The use of artificial intelligence technologies to observe and analyze environmental conditions, such as forest cover, pollution levels, and climate changes.

Sustainable Data Center Design

Designing data centers to be efficient in terms of energy use, cooling methods, and the source of their electricity to reduce their carbon footprint.

AI for Climate Change Mitigation

Employing artificial intelligence to analyze data, improve renewable energy forecasting, monitor deforestation, and enhance disaster response systems to combat climate change.

Energy Consumption of AI

The amount of energy required to train, run, and maintain artificial intelligence models and infrastructure, which can contribute to environmental issues.

AI-Powered Products Environmental Trade-off

The balance between the usefulness of AI-driven products like chatbots and recommendation engines and their environmental cost due to increased screen time, overconsumption, and server power demand.

Environmentally Friendly AI Use

Practices that individuals can adopt to minimize the environmental impact of their AI usage, such as advocating for responsible tech, using digital services mindfully, and supporting green computing policies.