This week Tash and Simon are joined by the fabulous Tim Turner.

We cauterise our catharses; the EU AI Act and other hype trains departing from the station of woe, and AI use by counterparties creating more work.

We also go down a PECR rabbit role, Simon gets something wrong (surprising no-one), including the new charity opt-out, and direct marketing for the public sector.

This week Simon and Tash chat through the difference between guidance and law, and what a DPO should try to achieve.

We use a question from Tim Turner's excellent book, DPO Daily Challenge. Hand on heart, this book is brilliant.

Simon thinks the ICO got something wrong. Again. Sorry.

This week Tash and Simon are joined by renowned Welsh hero, and friend of the show, James Robson. James lets rip into DPIA templates, Tash vents about performative paperwork, and Simon gets cross about short-sighted policy wonks.

We also talk about how we find work, Ivor the Engine, Schremsy, and AI in the Amos Report.

There was also an unusual number of sirens and a helicopter.

In the week when Burnham's victory and Starmer's resignation screened the news of Edward's, we wonder whether his self-portrait will stand the test of time (probably not).

As the due date for NHS DSPT submission close in, we discuss all things DSPT.

Simon & Tash chat through fearmongering, complaints, <16s social media ban, Thomas the Tank Engine, critical thinking, Marks and Spencer slippers, and who we would pick as the next Information Commissioner.

This week we answer a question from a listener about the data protection job market.

We also chat through global data supply chain infrastructure and the dependencies on big tech, and whether we really have any choice.

Also books. We talk about books. Again. We're so [not] sorry.

Tash and Simon are joined by Suze Phillips for a majestic meandering through standards in public life, AI, book recommendations, and web-filtering,

This week Simon encounters gross incompetence, and we discuss the single patient record - do the public really care as much as we think they do about how data is used?