A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Analysis
This article from Practical AI discusses Saiph Savage's insights on the "Invisible Workers" in AI, specifically those who label data for machine learning. The interview highlights the often-overlooked challenges faced by these workers, including economic disempowerment and emotional trauma. The conversation focuses on strategies to empower these workers and encourage companies to improve their practices. The article also touches upon Savage's participatory design work with rural workers in the global south, suggesting a focus on ethical AI development and worker well-being. The article provides a valuable perspective on the human element behind AI.
Key Takeaways
- •The article highlights the importance of recognizing and addressing the challenges faced by "Invisible Workers" in AI.
- •It emphasizes the need for economic empowerment and improved working conditions for these workers.
- •The discussion of participatory design suggests a focus on ethical AI development and worker well-being.
“We discuss ways that we can empower these workers, and push the companies that are employing these workers to do the same.”