The Unlearning Room by Forg3t

AI systems were built in a trust based era. We trusted companies when they said data was removed. We trusted models when they claimed compliance. We trusted internal audits. But AI is now infrastructure. Infrastructure cannot run on belief. In this episode of The Unlearning Room by Forget, we explore why trust is collapsing and proof is becoming the new standard. We examine what verifiable behavio...

Most AI systems are designed to accumulate. Few are designed to reverse. In this episode of The Unlearning Room by Forget, we explore what it means to design AI systems that can change their mind. Not through full retraining, but through structured, selective reversibility built into architecture from day one. We examine how editability, modular memory, and influence isolation could reshape how AI...

When AI systems retain information they should not, the damage is not abstract. It can affect hiring decisions, credit approvals, healthcare outcomes, and reputation. In this episode of The Unlearning Room by Forget, we explore liability in the age of AI memory. If a model recalls deleted data, reinforces bias, or exposes sensitive information, who carries the risk? The developer, the deployer, th...

AI systems remember because memory creates advantage. Better personalization, stronger predictions, higher retention. But that same memory also creates legal, ethical, and long term strategic risk. In this episode of The Unlearning Room by Forget, we examine the economic incentives behind AI memory. Why do companies accumulate more data than they need? Why is forgetting treated as cost instead of...

“Welcome to The Unlearning Room by Forget, where we sit down with the people who are quietly rebuilding AI around one hard promise: when data must disappear, models must forget.” It is 2026. AI systems influence hiring, loans, medical decisions, and public discourse. But almost no one asks clearly: who owns what these systems remember? Today we talk about control, power, and responsibility inside...

Most AI systems look safe until you start pushing them. In this episode of The Unlearning Room by Forget , we explore what happens when AI models are put under pressure. Not normal usage, but adversarial questioning, repeated probing, and edge case attacks designed to make models reveal what they should no longer know. We talk about why compliance claims often collapse under stress, how deleted da...

AI systems do not just learn. They accumulate memory over time. In this episode of The Unlearning Room by Forget , we talk about a problem most teams do not notice until it is too late: memory related technical debt inside AI models. As models are fine tuned, connected to new data sources, and shipped faster, they become harder to change, harder to clean, and harder to forget. We explore why unlea...

2026 is not just another year for artificial intelligence. It is the moment trust stopped being enough. In this episode of The Unlearning Room by Forget , we explore why AI systems are now expected to prove how they behave, not just explain how they were built. We talk about audits that test models instead of reading policies, why regulators are shifting from intent to evidence, and what accountab...

Today, we are talking about something most people building AI are actively trying to avoid thinking about. Forgetting. Not human forgetting. Not memory fading over time. But artificial forgetting. Intentional, provable, accountable forgetting inside machine learning systems. This episode is about why AI unlearning exists, why regulation is forcing it into the spotlight, and why companies that igno...

What does it really mean for an AI system to forget you? In this episode we unpack the gap between deletion and true unlearning, and introduce Forg3t, a protocol that both untrains models on demand and proves that forgetting actually happened.