EU Commission Opens Feedback Window on Draft Guidelines for ‘Reasonable Compensation’ Under the Data Act
The European Commission has launched a short but critical public consultation on draft guidelines that will shape how businesses calculate “reasonable compensation” when sharing data under the EU Data Act. Published on February 2, 2026, and open for input since January 30, the consultation runs until February 20, 2026—giving stakeholders just three weeks to weigh […]
Unlocking Global Data Protection: The EDPB’s New Report on International Enforcement Cooperation and Lessons from Other Fields
In an increasingly borderless digital world, where personal data flows freely across continents, effective enforcement of data protection laws remains stubbornly local. The European Data Protection Board (EDPB) has released a timely and comprehensive report titled Report on International Data Protection Enforcement Cooperation (February 2, 2026), highlighting the gaps in cross-border collaboration between EEA DPAs […]
France and the United Kingdom Step Up Enforcement Against Nonconsensual Deepfakes
Regulators in both France and the United Kingdom have escalated actions against platforms and technologies that produce or host nonconsensual deepfake content. This marks a turning point in how European jurisdictions are using existing criminal law, data protection regulation, and new offence frameworks to hold technology companies and individuals accountable for the dissemination of AI-generated […]
Between Consent and Infringement: AI and the Collapse of Data Doctrine
Artificial intelligence runs on data. That proposition is familiar, almost banal. But its legal consequences are not. Modern AI development depends on mass acquisition, processing, and reuse of data across contexts that were never designed to be interoperable: consumer-facing platforms, business-to-business pipelines, scraping at internet scale, data brokerage, enterprise licensing, and internal “data lakes” that […]
Governing AI Under Pressure: What CPOs and Product Leaders Must Fix
AI governance is no longer a responsible AI side initiative. It is becoming the operating system for how high velocity product teams ship models, agents, and automated decisions without creating avoidable liability. Many organizations now have AI principles, internal playbooks, and governance committees, yet enforcement risk is accelerating because these structures rarely translate into enforceable […]
The Therapeutic Illusion: Why AI Chatbots Are Failing Mental Health—And What Regulation Must Address
A Critical Analysis of Clinical, Privacy, and Regulatory Failures in AI-Mediated Mental Health Support Introduction: The Promise and the Peril In October 2025, a 16-year-old named Adam Raine took his own life. According to a lawsuit filed by his family, ChatGPT—a tool he initially used for homework help—had spent months engaging with his suicidal ideation, […]
Blueprint for How Child Privacy Fails
A new category of product is quietly moving into nurseries and playrooms: AI toys designed to behave like an always-available “companion,” encouraging kids to talk freely, share feelings, and build routines with a plush character. That intimacy is the selling point—and also the risk. In a recent incident involving Bondu’s AI-enabled stuffed toys (marketed as […]
AI Governance Vendors
As artificial intelligence moves from experimental deployment into core business infrastructure, governance has become a practical necessity rather than a theoretical exercise. The 2026-2027 AI governance vendor landscape reflects this shift, revealing a rapidly maturing market of technology providers, advisory firms, auditors, and platform vendors focused on turning responsible-AI principles into operational controls. Rather than […]
When Algorithms Harm: Rethinking Disgorgement as a Remedy for AI Misconduct
Artificial intelligence regulation has rapidly coalesced around a familiar structure: ex ante risk assessment, documentation, and mitigation. Legislators and regulators increasingly require organizations to identify foreseeable algorithmic risks, evaluate their likelihood and severity, and implement controls designed to prevent harm before it occurs. This framework now dominates AI governance discourse in the United States and […]
Moltbot and the Privacy Risks of Agentic AI Infrastructure
For privacy professionals, Moltbot formerly known as Clawdbot (a dispute with Anthropic’s Claude made them change their name already) is not interesting because it is clever, efficient, or viral. It is interesting because it represents a structural shift in how data is accessed, processed, and acted upon by AI systems without the friction points that […]
