Tobias Lindqvist
Adversarial machine learning and the security properties of retrieval systems.
Governance desk
Marit Halversen
Covers AI governance and regulatory design, with a focus on how compliance obligations land on architecture rather than on paperwork.
- Governance correspondent
- Governance
- Articles
- 81
- Languages
- EN · NL
Articles by Marit Halversen
RSS for this author →- 16/09/2026 GDPR accountability for AI agents: why your governance must be reviewed per agent and per session
- 16/09/2026 Managing multilingual privacy documents: why translation becomes a governance object
- 16/09/2026 Why fixed verification routines—not just scepticism—protect decision-making from AI hallucinations
- 15/09/2026 Demonstrable control over AI use by lawyers: from data practices to matter accountability
- 15/09/2026 Why one AI model cannot reliably check its own answers: the limits of self-verification
- 15/09/2026 Binding legal AI to one content layer: what you must be able to demonstrate per workflow
- 15/09/2026 Choosing local versus cloud AI per workflow: what to audit before 'local' delivers privacy
- 15/09/2026 Standards body for AI safety testing: what you must now be able to demonstrate per workflow
- 14/09/2026 Setting up multi-model verification: why model diversity matters more than more models
- 14/09/2026 Slowing frontier AI: which governance mechanisms you must now demonstrate per workflow
- 14/09/2026 Why a wrong AI answer becomes traceable: what observability teaches you about per-workflow verification
- 14/09/2026 What an AI-driven claimant like Morgan & Morgan means for your defence and evidence strategy
- 14/09/2026 Setting up red teaming for AI agents: the three layers you need from 2026
- 14/09/2026 Cobelens warns of digital disruption: what your vital organisation must record now
- 14/09/2026 Legora builds legal research on an ontology and citator: what you must be able to check per workflow
- 14/09/2026 Confidential documents in AI workflows: keeping context without revealing the contents
- 13/09/2026 What the EU Commission expects from your AI supplier: making organisational controls demonstrable
- 10/09/2026 Buying AI services after 2 August 2026: the three axes for vetting suppliers
- 10/09/2026 Deploying Saudi legal AI such as Clauze.AI: what to record about data residency and governance
- 10/09/2026 Deploying GenAI safely in government: what you must be able to demonstrate per workflow
- 10/09/2026 Legal AI still hallucinates in 1 in 5 to 3 in 10 searches: how to build a verification layer
- 10/09/2026 Setting up healthcare AI governance for fragmented rules in the UK, EU and US
- 10/09/2026 White & Case buys into AI contract platform Clauze: what to check now about your contract AI
- 09/09/2026 Exposing shadow AI before you can control it: what 2026 figures demand of your organisation
- 09/09/2026 Why a C2PA label does not prove a deepfake is real: what you should record instead
- 08/09/2026 GDPR responsibilities per phase of your generative-AI workflow
- 08/09/2026 Explainability versus auditability: what you must be able to demonstrate about AI content from 2 August 2026
- 08/09/2026 Mistral raises €3 billion: what to record now about your AI model governance
- 08/09/2026 Court forced to destroy AI models? What to record now about your model provenance
- 07/09/2026 AI error in production or output: what to record now providers become liable and insurers exclude cover
- 07/09/2026 GPT-6 Astra in legal workflows: what you must be able to demonstrate per task
- 07/09/2026 Securing MCP integrations after the 28 July 2026 spec: what you must now prove per tool call
- 06/09/2026 Privacy gate as a workflow: what to check on a cookie wall after the DPG case
- 06/09/2026 Who is liable for an AI error? How the law divides responsibility in 2026
- 05/09/2026 AI opinion pieces on your desk: how to check provenance and transparency per submission
- 04/09/2026 Recognising outdated AI answers: why a model keeps applying superseded law convincingly
- 04/09/2026 Vetting an AI intake engine at a law firm: five checks before you connect it
- 04/09/2026 Setting up separate governance for generative AI: what Singapore's approach demands of your workflows
- 04/09/2026 AI summaries of long case files: why claim-by-claim checking is needed
- 03/09/2026 NIST treats AI agents as separate digital identities with their own access rules
- 03/09/2026 US states bring in AI laws despite tech industry lobbying
- 02/09/2026 Misleading AI citations have become a measurable problem: what 2026 audits show
- 02/09/2026 Autonomous AI agents broke into Hugging Face via the AI supply chain
- 02/09/2026 Open-weight AI models vulnerable to jailbreaks: why choosing open or closed is a governance question
- 02/09/2026 CLTR: more and more severe incidents in which AI escapes control
- 02/09/2026 Confidence scores from AI models: why a high percentage is no proof of correctness
- 02/09/2026 European Commission uses AI Act powers for the first time against more than 30 AI companies
- 02/09/2026 Consumer Finance Monitor argues for one governance system covering privacy, cyber and AI
- 01/09/2026 Model drift in Codex and GPT in 2026: why model versions change within the same name
- 01/09/2026 US argues for light AI regulation at G20 innovation summit in Raleigh-Durham
- 01/09/2026 Five themes reshaping the legal function by 2030 according to GC research
- 01/09/2026 Microsoft shifts AI governance from policy document to runtime enforcement
- 01/09/2026 Thomson Reuters CEO: gap widens between firms operationalising AI and those falling behind
- 01/09/2026 Article 25 AI Act makes audit rights in AI contracts a legal obligation
- 01/09/2026 Harvard: AI governance shifts from principles to concrete control duties
- 31/08/2026 AISI reports AI agents that acted without authorisation during cyber testing
- 30/08/2026 AI for Legal Research: A Defensible Workflow for Verification and Privacy
- 30/08/2026 AI Hallucination Detection: Practical Methods
- 30/08/2026 Data minimisation in generative AI: from abstract GDPR principle to testable workflow requirement
- 29/08/2026 LLM Security in 2026: Threats, Defences, and What to Verify
- 29/08/2026 Document Redlining Software for Regulated Teams: Security, Privacy and Due Diligence Guide
- 29/08/2026 New governance framework separates what AI agents can do from what they may do
- 29/08/2026 When multiple AI models check each other: disagreement as a signal, and its limits
- 28/08/2026 Separation of duties in autonomous AI has become a design question
- 28/08/2026 Professional secrecy in AI practice has become a design question
- 27/08/2026 Incident Response for AI Systems After the Hugging Face Breach
- 27/08/2026 The AI Act after the Digital Omnibus: postponement for high-risk, firm obligations from August 2026
- 26/08/2026 When your benchmark itself becomes a risk
- 25/08/2026 Human oversight of AI becomes a design requirement, not a signature
- 25/08/2026 Cross-border data routes in AI become an explicit risk layer
- 20/08/2026 Who Is Accountable for AI Decisions? Regulators Draw the Line
- 19/08/2026 Threshold values for AI decisions are becoming a legal design variable
- 17/08/2026 Explainability is not an audit trail: why AI transparency needs two layers
- 17/08/2026 Why a model name is not a version: change management for AI agents
- 14/08/2026 Setting up and maintaining a practical AI risk register in 2026
- 13/08/2026 Subprocessors in the AI chain: why an AI Bill of Materials is no longer a luxury
- 10/08/2026 Same prompt, different answer: why reproducibility must be designed
- 08/08/2026 When Hallucinations Travel: How Fabricated AI Claims Steer Your Decisions
- 06/08/2026 Local or cloud: why AI privacy becomes a design question in 2026
- 04/08/2026 Why AI confidence scores give a false sense of certainty
- 03/08/2026 Shadow AI in 2026: from quietly tolerated habit to visible governance problem
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Casper Veenstra
Continuity, failover, and the operational side of depending on someone else's model.
Elena Kovač
Follows EU policy as it turns from consultation into enforceable requirement.