Building Trust in AI Systems-Theory
Welcome to "Responsible Machine Learning," a comprehensive course designed to equip you with the knowledge and skills necessary to develop and implement ethical and fair AI systems. This course delves into the principles and practices essential for creating machine learning models that adhere to human-centric values and societal norms.
Throughout this course, we will explore key topics including accountability, transparency, explainability, safety, fairness, and bias in AI. You will learn how to identify and mitigate bias using tools like Microsoft Fairlearn and IBM AI Fairness 360, ensuring that your AI systems operate without discrimination.
We will also discuss the importance of adhering to institutional, national, and international guidelines, maintaining detailed documentation, and defining clear roles and responsibilities within AI development teams. Real-world examples and case studies will illustrate how these principles are applied in various industries, from finance and healthcare to transportation and security.
By the end of this course, you will have a robust understanding of the ethical implications of AI, practical strategies for implementing responsible machine learning, and the ability to create transparent, accountable, and fair AI models. Join us to become a leader in the development of responsible AI technologies, fostering trust and reliability in your AI solutions.
Adobe Creative Educator
Kelvin Kobina Fosu is a humanitarian and an ex-Google-Certified Educator level 1. Kelvin is now an Adobe Creative Educator specializing in Generative AI for education and Augmented reality for education. Kelvin completed his Bachelor's Degree of Fine Arts from Kwame Nkrumah University of Science and Technology in Ghana, majoring in painting. He then took a certification course on Computer Science Principles using App Inventor and one in Business Strategies for a Better World. He has an overarching goal of putting people and the planet over profit, and he believes in using intuitive tools for education and experiential learning. Kelvin worked as a STEAM (Science, Technology, Engineering, Arts, and Mathematics) programs manager for the Girls Education Initiative of Ghana (GEIG). He developed the STEAM curriculum for students and assisted four in gaining web development scholarships at Soronko Academy in Accra. He also freelanced at Soronko Academy, leading a team of young girls to win the 'International Girls in ICT Day' celebration. Kelvin founded AnybodyCanDevelop (ABCD) when he discovered that learners were introduced to programming while at GEIG and started finding other software of interest. Studying some of these tools led him to develop content focused on the arts and technology, using intuitive technology to democratize learning. His content is being used in 174 countries across the globe by people of all ages. Kelvin is now a learning management associate lead at Brainiqs Projects Lab and a learning and development team member at GhanaTechLab. He creates content to help improve workers' and students' learning outcomes. He has helped develop a mobile application curriculum for students and an artificial intelligence curriculum for GhanaTechLab's Africa Artificial Intelligence Accelerator program. Â
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