The conversation moves beyond technological hype to focus on labor, automation, and political possibility. Rather than framing automation as a simple story of job replacement, Srnicek argues that digital systems reorganize work through surveillance, algorithmic management, and precarious employment structures. As platforms increasingly function as social infrastructure, questions of governance, ownership, and democratic accountability become unavoidable. This episode challenges listeners to see the digital economy not as inevitable, but as a political construction one whose future remains open to collective imagination and action.

Who gets to participate in society—and how do we build systems that serve everyone, not just the privileged few?

In this episode of Looks Like New, MEDLab’s Júlia Martins Rodrigues speaks with Dr. Nicol Turner Lee, a leading expert at the intersection of technology and social justice, about what happens when entire communities are left behind in our rapidly digitizing world. As Director of the Center for Technology Innovation and founder of the AI Equity Lab, Turner Lee has dedicated her work to making AI and internet access more inclusive, ethical, and equitable—from the U.S. to the Global South. We explore insights from her groundbreaking book Digitally Invisible and discuss how we can rethink AI governance to create a more just digital future.

AI is advancing at lightning speed—so fast that questions of ownership and data use often get left behind. What control do we really have over our data in these massive language models? And how can we rethink governance for AI?

On this episode of Looks Like New, MEDLab fellow Andy DiLallo speaks with Berlin-based artist, musician, and technologist Mat Dryhurst. Known for his work on collective ownership and digital governance. We hear how DIY music culture shaped Mat’s approach to technology, the importance of transparency in AI, and the role institutions can play in building ethical, trustworthy AI frameworks.