Page 63 - AI for Good - Impact Report

AI for Good

• Promote AI literacy programs: Integrate AI literacy into educational curricula and offer
community-based learning opportunities to enhance understanding of AI. Equip
individuals with the knowledge to interact responsibly with AI technologies and participate
in informed discussions.

8) Sustainable AI Development

Ensuring that technological advancements are achieved without compromising environmental
health or future resource availability is critical. By integrating sustainability into AI practices, it’s
possible to reduce the carbon footprint of AI systems at the outset, promote energy efficiency,
and ensure that AI technologies are developed in an environmentally responsible manner.

Key considerations:

• Promote energy-efficient AI technologies: Encourage the development and adoption of
AI systems that use energy-efficient algorithms and hardware. Support research into low-
energy AI solutions and set standards for energy consumption in AI technologies.
• Implement green data centers: Invest in and promote the use of data centers powered
by renewable energy sources. Ensure that AI infrastructure is designed to minimize
environmental impact by using sustainable practices and materials.
• Encourage sustainable AI research: Fund research projects focused on reducing the
environmental impact of AI development and deployment. Support innovation in areas
like efficient data processing and recycling of electronic waste.

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