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
Principal AI Strategist
As a Principal AI Strategist at Amazon, Zorina Alliata leverages her expertise in AI and Generative AI strategy and product management to help global customers use AWS AI/ML products and services to speed up their operations and enhance their processes. She teaches the Responsible AI and Data Science courses at OPIT and Georgetown University. She is a certified AWS Solutions Architect, SAFe SPC, PMP. She is also a PhD candidate researching AI in Finance.
Senior CX Strategist
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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