Jared Henderson joins us to discuss the state of the art in software parental controls and how we protect our children and lock down our home networks from the constant onslaught of malicious and unwanted content.

People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.

In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.

This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.

This week we’re talking with Bruce Schneier — cryptographer, computer security professional, privacy specialist, and writer (of many books). He calls himself a “public-interest technologist”, a term he coined himself, and works at the intersection of security, technology, and people.

Bruce has been writing about security issues on his blog since 2004, his monthly newsletter has been going since 1998, he’s a fellow and lecturer at Harvard’s Kennedy School, a board member of the EFF, and the Chief of Security Architecture at Inrupt. Long story short, Bruce has credentials to back up his opinions and on today’s show we dig into the state of cyber-security, security and privacy best practices, his thoughts on Bitcoin (and other crypto-currencies), Tim Berners-Lee’s Solid project, and of course we asked Bruce to share his advice for today’s developers building the software systems of tomorrow.

This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.

Plausible creators Uku Täht and Marko Saric join the show to talk about their open source, privacy-friendly alternative to Google Analytics. We talk through the backstory of the project, why it’s open source, the details behind a few viral blog posts Marko shared to bring in a ton of new interest to the project, why privacy matters in web analytics, how they prioritize building new features, the technical details behind their no cookie light-weight JavaScript approach, and their thoughts on a server-side option.

The commercial VPN industry is a minefield to navigate and many open source solutions are a pain to use or ill-suited for the task. Algo VPN, on the other hand, is a self-hosted personal VPN designed for ease of deployment and security. It uses the securest industry standards, builds on rock-solid solutions like WireGuard and Ansible, and runs on an ever-growing list of cloud hosting providers.

On this episode Dan Guido –CEO of security firm Trail of Bits and Algo’s creator– joins Jerod to discuss the project in depth.