Close Menu
    Facebook LinkedIn YouTube Instagram X (Twitter)
    Blue Tech Wave Media
    Facebook LinkedIn YouTube Instagram X (Twitter)
    • Home
    • Leadership Alliance
    • Exclusives
    • Internet Governance
      • Regulation
      • Governance Bodies
      • Emerging Tech
    • IT Infrastructure
      • Networking
      • Cloud
      • Data Centres
    • Company Stories
      • Profiles
      • Startups
      • Tech Titans
      • Partner Content
    • Others
      • Fintech
        • Blockchain
        • Payments
        • Regulation
      • Tech Trends
        • AI
        • AR/VR
        • IoT
      • Video / Podcast
    Blue Tech Wave Media
    Home » 5 crucial facts from Sasha Luccioni about AI and the environment
    AI
    AI
    AI

    5 crucial facts from Sasha Luccioni about AI and the environment

    By Miurio HuangJune 5, 2024No Comments3 Mins Read
    Share
    Facebook Twitter LinkedIn Pinterest Email
    • Sasha Luccioni, who is AI and Climate lead at Hugging Face, explored the environmental impact of AI models and focused on the intersection of AI technology and environmental sustainability, exploring ways to reduce the ecological impact of AI through better measurement and informed choices.
    • AI models, especially large language models like ChatGPT, consume significant amounts of energy during both training and deployment.
    • Inspired by the Energy Star program for appliances, Luccioni proposes a similar rating system for AI models.

    Dr. Sasha Luccioni is a researcher in ethical artificial intelligence. Over the last decade, her work has paved the way to a better understanding of the societal and environmental impacts of AI technologies. Recently she explored the environmental impact of AI models and focused on the intersection of AI technology and environmental sustainability, exploring ways to reduce the ecological impact of AI through better measurement and informed choices.

    1. Environmental impact of AI models

    AI models, especially large language models like ChatGPT, consume significant amounts of energy during both training and deployment. This energy consumption results in substantial carbon emissions, comparable to those produced by several cars over their lifetimes. The training of such models can consume as much energy as annually dozens of American homes.

    Also read: True Fit uses AI to help online shoppers find their best outfit

    Also read: Sword Health raises $130M, valuation climbs to $3B

    2. Development of energy star ratings for AI

    Inspired by the Energy Star program for appliances, Luccioni proposes a similar rating system for AI models. This system is designed to help users choose models based on their energy efficiency, promoting more sustainable AI usage. The goal is to create a standardized way to measure and compare the energy consumption of various AI models across different tasks.

    3. Initial testing and results

    The project involves testing AI models on various tasks, including text generation, image classification, and speech recognition, using standardized datasets. Initial results show a wide range in energy efficiency among models, with some being significantly more energy-intensive than others depending on the task. These findings highlight the potential for optimization and efficiency improvements in AI model deployment.

    4. Tools for measuring energy consumption

    To aid in assessing the environmental impact, tools like Code Carbon have been developed. These tools estimate the energy consumption and carbon emissions of AI models, enabling developers to make more informed, sustainable choices. By using such tools, companies can reduce the environmental footprint of their AI technologies.

    5. Future work and community involvement

    The ongoing work includes expanding the rating system to cover more tasks and models, refining the measurement methods, and encouraging community feedback. The ultimate aim is working with organizations such as ISO or NIST for wider adoption to publish a Green AI Leaderboard to help the AI community compare and select models based on their energy efficiency, fostering a more sustainable AI ecosystem.

    AI Sasha Luccioni Tech Trends
    Miurio Huang

    Miurio Huang is an intern news reporter at Blue Tech Wave media specialised in AI. She graduated from Jiangxi Science and Technology Normal University. Send tips to m.huang@btw.media.

    Related Posts

    T-Mobile drops DEI programmes as FCC scrutiny intensifies

    July 14, 2025

    Britain and France back Eutelsat with $1.65B to rival Starlink

    July 14, 2025

    Hong Kong boosts rural 5G with $25M rollout

    July 14, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    CATEGORIES
    Archives
    • July 2025
    • June 2025
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023

    Blue Tech Wave (BTW.Media) is a future-facing tech media brand delivering sharp insights, trendspotting, and bold storytelling across digital, social, and video. We translate complexity into clarity—so you’re always ahead of the curve.

    BTW
    • About BTW
    • Contact Us
    • Join Our Team
    TERMS
    • Privacy Policy
    • Cookie Policy
    • Terms of Use
    Facebook X (Twitter) Instagram YouTube LinkedIn

    Type above and press Enter to search. Press Esc to cancel.