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🤖 Exploring Racial Biases in AI-Generated Images | MidJourney AI Analysis & Discussion 🤖 In this deep dive, we explore the underbelly of AI image generation with a case study on MidJourney AI and unravel the biases encoded within these technological marvels. 💻🧐 Join Jeremy Lewis in this ANT 395 presentation as we journey through a world where AI-generated images inadvertently reflect and perpetuate racial biases prevalent in our society. 🔗 Mentioned Videos & Sources 🔗 Racism, Not Race with Joseph Graves and Alan Goodman: • Racism, Not Race with Joseph Graves and Al... MFA Products of Design Guest Lecture: Helen Armstrong: • MFA Products of Design Guest Lecture: Hele... 📘 Referenced Books 📘 “Chapter 5 Inventing Whiteness.” Race : Are We so Different? Wiley-Blackwell 2012. Available at: http://site.ebrary.com/id/10634642 Armstrong, Helen, and Keetra Dean Dixon. “Chapter Three: Predict The Way.” Big Data, Big Design: Why Designers Should Care about Artificial Intelligence, Princeton Architectural Press, New York, 2021. 🔍 What to Expect 🔍 Understanding MidJourney AI’s Image Generation Analysis of Whiteness as an Unmarked Category in AI Racial Diversity in AI vs. Corporate Imagery The Feedback Loop of Biases in AI & Cultural Imagery The Vital Discussion on Ethical AI Design & Development 📌 Key Topics 📌 Introduction to AI Image Generation & MidJourney Analyzing Whiteness in AI-Generated Images How Cultural and Social Biases Shape AI The Consequences of AI Feedback Loop Ensuring Ethical Practices in AI Development Your thoughts and insights matter! Comment below on how you think we can navigate the complexities of AI and ensure these systems do not perpetuate harmful biases. 💬👇 #AIBias #ArtificialIntelligence #RacialBiasInAI #EthicalAI #MidJourneyAI #AITechnology #SocialConstructs #AIImageGeneration #DiversityInTech #JeremyLewis #ANT395 #AIAnalysis #EthicalDesign