PD CEN/CLC/TR 18145:2025
Environmentally sustainable Artificial Intelligence
Standard number: | PD CEN/CLC/TR 18145:2025 |
Pages: | 34 |
Released: | 2025-02-26 |
ISBN: | 978 0 539 29441 5 |
Status: | Standard |
PD CEN/CLC/TR 18145:2025 - Environmentally Sustainable Artificial Intelligence
In the rapidly evolving world of technology, the integration of Artificial Intelligence (AI) into various sectors is not just a trend but a necessity. However, as we embrace the power of AI, it is crucial to ensure that its development and deployment are aligned with environmental sustainability. Introducing the PD CEN/CLC/TR 18145:2025, a comprehensive standard that guides the creation and implementation of environmentally sustainable AI systems.
Overview of the Standard
The PD CEN/CLC/TR 18145:2025 is a pivotal document that sets the benchmark for developing AI technologies with a focus on minimizing environmental impact. Released on February 26, 2025, this standard is a testament to the growing recognition of the need for sustainable practices in AI development. With a total of 34 pages, it provides detailed guidelines and best practices for creating AI systems that are not only efficient but also environmentally responsible.
Key Features and Benefits
1. Comprehensive Guidelines
This standard offers a thorough framework for integrating sustainability into AI systems. It covers various aspects, including energy efficiency, resource optimization, and waste reduction, ensuring that AI technologies contribute positively to the environment.
2. Future-Proofing AI Development
By adhering to the guidelines set out in the PD CEN/CLC/TR 18145:2025, organizations can future-proof their AI initiatives. This standard helps in anticipating and mitigating potential environmental impacts, thus aligning AI development with global sustainability goals.
3. Enhancing Corporate Responsibility
Organizations that implement this standard demonstrate a commitment to corporate social responsibility. By prioritizing environmentally sustainable practices, they not only enhance their brand reputation but also contribute to a healthier planet.
4. ISBN and Standard Number
For easy reference and cataloging, the standard is identified by the ISBN 978 0 539 29441 5 and the standard number PD CEN/CLC/TR 18145:2025. These identifiers ensure that the document is easily accessible and recognizable in professional and academic circles.
Why Choose Environmentally Sustainable AI?
As the world grapples with climate change and environmental degradation, the role of technology in mitigating these challenges cannot be overstated. AI, with its vast potential, can either exacerbate or alleviate environmental issues. By choosing to develop AI systems that adhere to the PD CEN/CLC/TR 18145:2025 standard, organizations can ensure that their technological advancements are part of the solution, not the problem.
Environmentally sustainable AI is not just about reducing carbon footprints; it's about creating intelligent systems that are mindful of their resource consumption and waste generation. This approach not only benefits the environment but also leads to more efficient and cost-effective AI solutions.
Conclusion
The PD CEN/CLC/TR 18145:2025 is more than just a standard; it is a commitment to a sustainable future. By integrating its guidelines into AI development, organizations can lead the way in creating technologies that are both innovative and environmentally responsible. Embrace the future of AI with a focus on sustainability and make a positive impact on the world.
Join the movement towards environmentally sustainable AI and ensure that your technological advancements are aligned with the needs of our planet. The PD CEN/CLC/TR 18145:2025 is your guide to achieving this balance, providing a roadmap for responsible and sustainable AI development.
PD CEN/CLC/TR 18145:2025
This standard PD CEN/CLC/TR 18145:2025 Environmentally sustainable Artificial Intelligence is classified in these ICS categories:
- 13.020.20 Environmental economics. Sustainability
- 35.240.01 Application of information technology in general