The Human Side of AI: Data Labeling, Ethics, and Fair Work Practices скачать в хорошем качестве

The Human Side of AI: Data Labeling, Ethics, and Fair Work Practices

emoLab Talk Series Episode 6- The Human Side of AI: Data Labeling, Ethics, and Fair Work Practices Welcome to the visual episode of emoLab Talk Series, where we explore how technology shapes our lives. From digital consumers to gig workers and service robots, we delve into the world of algorithms, AI, and automation, examining how they transform our emotions, behaviors, and businesses. In each episode, we bring you thought-provoking conversations on the impacts of algorithmic capitalism and how to navigate a future increasingly dominated by machines. Join us for insights into who benefits, who’s left out, and what it all means for the future. In this episode: AI is often presented as seamless, autonomous, and objective; but the reality is far more human. In this emoLab Talk Series episode, we speak with John Gakunyi, a data labeling quality specialist, AI ethics advocate, and co-founder of the Data Labelers Association in Kenya. John brings a firsthand perspective on the hidden workforce behind today’s AI systems and the growing practice of AI washing, where human labor is marketed as machine intelligence. Drawing on his professional and advocacy experience, John discusses the role of data labelers and click workers in the Global South, the risks created when this labor remains invisible, and what happens when organizations blur the line between human and machine. From privacy and trust to brand credibility, this conversation highlights why understanding the human side of AI is no longer optional. 🎧 Listen to the audio version on Spotify by searching up: The emoLab 💬 Let us know your thoughts in the comments! If you enjoyed this episode, don’t forget to like, subscribe, and share it with others who might find it valuable. 📲 Follow us: LinkedIn: emoLab #Podcast #VisualPodcast #AI #Technology #Society #John Gakunyi #emoLAB