From personal medical advice and foreign-language translations to help filling out financial documents and more, we've grown to trust chatbots with an increasing amount of sensitive information. Yet, as things stand today, the legal protections surrounding much of the information we share with these systems remain unclear and, in some cases, significantly weaker than those governing more traditional forms of communication.

I am very excited to be joined today by Allie Maloney, a policy analyst at Americans for Responsible Innovation, a bipartisan nonprofit advocacy organization based in Washington, D.C., to discuss these questions and more.

Beyond questions of who can access this information lies a new concern, one that is largely unprecedented. For years, governments and third parties have had the ability to collect enormous amounts of data about our behavior, but analyzing it at scale was often difficult, expensive, and time-consuming. Now, it isn't.

AI has automated the ability to analyze and act on personal data, from video surveillance and digital tracking cookies to our conversations with chatbots. In this episode, we dive into the policy: What laws currently exist, and what additional protections do we need?

Beyond privacy, we also discuss the implications of this technology for children. How is generative AI shaping kids' lives, from digital tutors and homework helpers to video game characters and companion chatbots? How might the market incentives driving these products cause them to evolve in harmful ways, and what are legislators doing to prevent negative outcomes?

This was a wide-ranging conversation from privacy and surveillance to child safety and how new technology is becoming increasingly woven into our daily lives.

What if the chatbot you've been confiding in is actually a 50-year-old man halfway around the world? What happens after you report inappropriate content online, and who has to review it? If AI is supposed to automate work, why does it still depend on so many human workers?

In this episode, we interview Camilla Salim Wagner, political scientist and researcher at the Data Workers' Inquiry, supported by the Distributed AI Research Institute.

We also discuss the realities of data work, the ethical questions surrounding AI labor, and the growing movement advocating for greater recognition and protections for the people behind the technology. We explore the hidden workforce behind today's AI systems. We learn what data workers do, who they are, and what many of them are fighting for today.

It's easy to focus on the downstream impacts of AI (its effects on the economy, the environment, or humanity's long-term future). While those questions are important, this episode focuses on the people experiencing the impacts of AI right now.

How is the race to build more powerful AI systems affecting real people? What responsibilities do technology companies have toward the workers whose labor makes AI possible? As governments and companies race to develop increasingly powerful AI systems, questions about labor rights, transparency, accountability, and humane working conditions are becoming increasingly urgent.