Free Download Mitigating Bias and Ensuring Fairness in GenAI Systems
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 54m | Size: 1.18 GB
Mitigating Bias and Ensuring Fairness in GenAI Systems in English!
What you'll learn
Students will be introduced to different Gen AIs and LLMs
Introduction to sources of biases in AI Systems
Prompt engineering
Seeing how RAGs could help correct bias
Requirements
Prior exposure to common AI terms such as LLMs, ChatGPT
A desire to build safe and fair AI systems
Description
Generative AI is transforming industries-but with great power comes a critical responsibility: ensuring fairness and reducing bias in AI outputs.In this course, you'll get a practical, beginner-friendly introduction to the key concepts, challenges, and solutions for building responsible AI systems.What you'll learn:What Generative AI (GenAI) is and how it worksThe differences between GenAI and Large Language Models (LLMs)Overview of popular GenAI platforms and toolsFamiliar sources of bias in AI modelsProven strategies to mitigate bias and ensure fairnessA brief introduction to Retrieval-Augmented Generation (RAG) and how it improves context accuracyI am Minerva Singh. I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science-intensive PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience developing AI applications for a variety of UK universities and organisations, producing publications for international peer-reviewed journals and undertaking data science consultancy work. In addition to all the above, you'll have MY CONTINUOUS SUPPORT to ensure you get the most value out of your investment!ENROLL NOW
Whether you're a developer, analyst, AI enthusiast, or business leader, this course will equip you with the knowledge to identify, reduce, and manage bias in AI systems-and to create AI solutions that are transparent, ethical, and trustworthy.By the end, you'll have a clear action plan to integrate fairness into your GenAI workflows, no matter which platform or model you're using.No advanced technical background required-just curiosity and a commitment to building better AI.Who this course is for
People with prior exposure to AI systems, including Gen AI models
Gen AI Users
Ethics and governance practitioners
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