AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

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2025 UN System Behavioural Science Springboard Programme

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Gender Bias in Generative AI

A free, self-paced online module in two parts that helps UN personnel recognize and reduce gender bias in generative AI, using examples from UN operations and the Women, Peace and Security agenda. Part 1 explains in plain language what AI and generative AI are and how they can produce biased content; Part 2 shows how these tools can introduce bias into otherwise neutral content and offers practical steps to catch and reduce it in everyday work.
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SDG 05: Gender Equality
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