AI and Environmental Impact
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Questions and Answers

What should be questioned regarding AI systems in the context of environmental issues?

  • The global market impact of AI
  • The framing of AI as solely a problem or solution (correct)
  • The financial viability of AI systems
  • The technical specifications of AI systems
  • Which of the following is an important value linked with both social justice and environmental sustainability?

  • Industrial development
  • Environmental justice (correct)
  • Economic growth
  • Technological advancement
  • What are considered basic resources necessary for AI systems?

  • Human expertise and international governance
  • Land, water, and energy (correct)
  • Software applications and coding languages
  • Financial investment and market demand
  • What notion reflects a mindset that prioritizes unlimited growth and overlooks environmental consequences?

    <p>Data as new oil</p> Signup and view all the answers

    What aspect of environmental history of computing can push out unwanted externalities?

    <p>Accumulative industrial practices and dynamics</p> Signup and view all the answers

    What is the projected electricity consumption of data centres by 2026?

    <p>1,000 TWh</p> Signup and view all the answers

    What was the estimated carbon emissions during the training of GPT-3?

    <p>500 metric tons</p> Signup and view all the answers

    What does environmental justice focus on?

    <p>Ensuring equal environmental quality for all communities</p> Signup and view all the answers

    What is one of the risks associated with AI usage mentioned?

    <p>Increased greenhouse gas emissions</p> Signup and view all the answers

    Which hardware characteristic contributed to GPT-3's high carbon emissions during training?

    <p>Use of older, less efficient hardware</p> Signup and view all the answers

    What is a concern related to critical minerals and raw materials in the context of environmental justice?

    <p>Their distribution leading to social injustice</p> Signup and view all the answers

    What significant long-term challenge is associated with the cryptocurrency sector?

    <p>Increased electricity consumption</p> Signup and view all the answers

    What is the principle of 'do no harm' related to?

    <p>Environmental impact assessments</p> Signup and view all the answers

    What is one of the environmental concerns related to AI systems?

    <p>High energy consumption for data centers</p> Signup and view all the answers

    How can AI contribute positively to environmental efforts?

    <p>Through enhancing data collection for better climate predictions</p> Signup and view all the answers

    What historical backdrop serves as a comparison for understanding AI's environmental challenges?

    <p>The Industrial Revolution</p> Signup and view all the answers

    Which of the following strategies involves AI helping to address environmental issues?

    <p>Mapping deforestation using AI</p> Signup and view all the answers

    What does the term 'data is the new oil' signify in the context of AI?

    <p>Data is a valuable resource driving innovation</p> Signup and view all the answers

    What is one of the risks associated with AI's materiality?

    <p>E-waste generation from outdated hardware</p> Signup and view all the answers

    In terms of automation, what is a challenge posed by AI systems?

    <p>Job displacement due to machinery</p> Signup and view all the answers

    Which of the following represents a potential risk tied to AI's immateriality?

    <p>Ineffective data management practices</p> Signup and view all the answers

    Study Notes

    Artificial Intelligence & Human Values

    • The lecture focuses on the interplay between Artificial Intelligence (AI) and the environment.
    • The environmental history of computing is examined, tracing its development from steam engines and coal-powered infrastructure to the digital age.
    • Present-day AI's environmental consequences are outlined, with particular focus on resource use and the carbon footprint of AI systems.

    Intelligent Environments

    - Slides included a diagram highlighting the interconnectedness of AI systems with society, technology, and natural resources.
    
    - This framework visually displays the relationship between:
        - **Society:** including norms, practices, labor and regulations;
        - **Technology:** the hardware, software, and algorithms of Al systems;
        - **Sociotechnical systems:** combining elements of both;
        - **Data and E-waste:** representing the role of data collection and the disposal of electronic waste;
        - **Infrastructure (computing power and hardware):**
        - **Natural resources:** representing the resources used to create technology.
    - The interplay between AI and environment was emphasized.
    
    - Environmental issues connected to AI systems are:
        - Resource and energy use: Electricity consumption from data centers, AI, and the cryptocurrency sector is projected to double by 2026, equivalent to Japan's electricity consumption.
        - Carbon Footprint: AI's carbon imprint is rising and poses a challenge to ambitious climate goals.
        - E-waste: The production of e-waste is a growing problem related to AI technologies.
        - Critical minerals and raw materials: The demand for critical minerals for AI systems is impacting vulnerable communities.
        - Emissions from training LLMs:  AI models like GPT-3 use considerable energy during training. 
    
    - The interplay between AI's promises and risks/challenges are examined. The lecture highlights both the potential and the limitations of AI's ability to address environmental problems. 
    - The risks and challenges associated with AI systems and their potential negative environmental impacts were addressed, including: emission from training LLMs; e-waste; critical minerals and raw materials; impacting the environment. 
    
    

    Key Takeaways

    • Question the framing of AI as an environmental problem/solution.
    • Recognize that AI systems are material and socio-technical.
    • Understand that basic resources, geography, and human settlement significantly influence environmental consequences of computing.
    • Recognize the historical context of computing: the transition from traditional energy sources to digital technologies highlighting the environmental effects of each step.
    • Attention should be paid to values linking environmental justice to environmental sustainability

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    Description

    This quiz explores the relationship between Artificial Intelligence and environmental values. It covers the historical development of computing, its ecological footprint, and how AI systems interact with society, technology, and natural resources. Participants will gain insights into the environmental consequences and challenges posed by modern AI.

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