Using and Developing AI Sustainably
The development and deployment of AI and Generative AI systems in a way that promotes environmental, social, and economic well-being for current and future generations is referred to as sustainable AI. To do this, AI must be built with energy-efficient algorithms and run on renewable energy sources to reduce carbon footprints. Ethical considerations are crucial, ensuring that AI respects human rights and diversity while avoiding increasing disparities. Data management must uphold the ideals of fairness, accountability, and transparency, while also protecting privacy. The overarching goal is to develop AI that not only innovates but also protects and enriches our environment. We will discuss some examples from our experience at Amazon.
Target Audience: All
Prerequisites: None
Level: Basic
Currently a Principal AI Strategist with Amazon, Zorina Alliata works with global customers to find solutions that speed up operations and enhance processes using Artificial Intelligence and Machine Learning. Zorina is also an Adjunct Professor at Georgetown University SCS and OPIT, as a creator and instructor for AI courses.
Zorina is involved in AI for Good initiatives and working with non-profit organizations to address major social and environmental challenges using AI/ML. She also volunteers with the Zonta organization and as the Chair of the Artificial Intelligence Committee at AnitaB.org, to support women in tech.
You can find Zorina on LinkedIn:
https://www.linkedin.com/in/zorinaalliata/
Hara Gavriliadi is a Senior CX Strategist at AWS Professional Services helping customers reimaging and transforming their customer experience using data, analytics, and machine learning. Hara has 13 years of experience in supporting organisations to be more data-driven, and turning analytics and insights into commercial advice to enable growth and innovation. Hara is passionate about ID&E and she is an AWS GetIT Ambassador inspiring young students to consider a future in STEAM.
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