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Navveen Balani Making systems intelligent, efficient & responsible

The EU AI Act emphasizes that AI should be developed and used in an…

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The EU AI Act emphasizes that AI should be developed and used in an environmentally friendly manner, minimizing its ecological footprint. This regulation integrates several key measures to achieve this goal:

  1. Promoting Environmental Sustainability: The regulation encourages the development of AI systems that lead to environmentally beneficial outcomes. This includes promoting research and development of AI solutions aimed at meeting environmental targets, such as energy efficiency, environmental monitoring, conservation, and climate change mitigation and adaptation

  2. Environmental Well-being as a Guiding Principle: One of the guiding ethical principles for AI under the EU AI Act is to ensure that AI systems are developed and used in a sustainable and environmentally friendly manner. This principle is intended to guide the design, development, and deployment of AI systems, ensuring they contribute positively to environmental well-being and are assessed for long-term impacts on the environment

  3. Codes of Conduct and Voluntary Measures: The Act encourages providers of AI systems to create voluntary codes of conduct that include measures for environmental sustainability. These codes of conduct should be based on clear objectives and key performance indicators, developed in an inclusive manner with input from various stakeholders, including environmental experts. This initiative aims to foster the adoption of environmentally sustainable practices in AI development and deployment

  4. Evaluation and Reporting on Environmental Impact: The EU AI Act mandates regular evaluations and reports on the development of standards for the energy-efficient development of AI models. This includes assessing the impact and effectiveness of voluntary codes of conduct concerning environmental sustainability. These evaluations are intended to ensure that AI systems contribute to environmental protection and resource efficiency

  5. Mitigation Measures and Systemic Risks: The Act provides for the implementation of mitigation measures to address systemic risks, including those related to environmental sustainability. Providers may be required to take specific actions to comply with environmental obligations, ensuring that AI systems do not pose significant risks to the environment

If you are not measuring your AI systems’ environmental impact, start now. Incorporate environmental sustainability metrics into your AI development and deployment processes to ensure compliance with the EU AI Act and contribute to a more sustainable future.

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