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The Agentic State: A Global Framework for Secure and Accountable AI-Powered Government
Unveiled at the Tallinn Digital Summit, The Agentic State presents a 12-layer roadmap for embedding AI into core government functions—redefining public service, compliance, and policy-making in the agentic era.
Cyberocracy and the Efficiency Paradox: Why Democratic Design is the Smartest AI Strategy for Government
A groundbreaking Estonian study reframes democratic principles as core drivers of digital government efficiency, showing how transparency, participation, and federated design build public trust and long-term performance in AI-era governance.
Learning from Collective Failures: A Pre-Summit Reflection on AI Governance
What can Soviet-era farming collectives teach us about AI? As leaders gather in Tallinn, this reflection warns against repeating systemic mistakes in AI governance by ignoring local context, shared authority, and accountability.
Reasonable or Overreach? Rethinking Sanctions for AI Hallucinations in Legal Filings
When AI-generated hallucinations appear in court filings, how should judges respond? A new four-pillar framework proposes principled, proportional sanctions to protect the justice system without overreach.
When AI Conversations Become Compliance Risks: Rethinking Confidentiality in the ChatGPT Era
AI chats may seem private, but legal experts warn they could become courtroom evidence. As AI integrates into legal work, professionals must rethink digital confidentiality and privilege risks.
The Shape of Justice: How Topological Network Mapping Could Transform Legal Practice
What if justice had a shape — not rigid scales or a blindfolded figure, but a living, dynamic map? Imagine causation as a multidimensional space, where influence, control, and responsibility could be mapped across a...
Criminal Conviction Reversed After State Failed to Timely & Fully Disclose its Use of a Type of Artificial Intelligence
A Maryland appellate court reversed a robbery conviction after prosecutors failed to timely disclose their use of facial recognition technology, an AI tool central to the investigation. The court found the late and incomplete disclosure...
Epiphanies or Illusions? Testing AI’s Ability to Find Real Knowledge Patterns – Part Two
The moment of truth had arrived. Were ChatGPT’s insights genuine epiphanies, valuable new connections across knowledge domains with real practical and theoretical implications, or were they merely convincing illusions? Had the AI genuinely expanded human...
Beagle Launches Professional Services Line to Support Ethical, Accurate AI Use in Legal Practice
Discover Beagle introduces Professional Services to guide legal teams in ethical, defensible AI use across any review platform, offering prompt engineering, training, and behavior coaching.
When AI Policies Fail: The AI Sanctions in Johnson v. Dunn and What They Mean for the Profession
The Johnson v. Dunn case marks a turning point in judicial tolerance for AI citation errors. Despite clear firm policies and experienced counsel, the court imposed severe sanctions, signaling that only individual verification, not institutional...
Adobe’s Legally Grounded AI Model Offers a Blueprint for Responsible Innovation
Adobe sets a new benchmark for legal AI development with Firefly, a model trained exclusively on licensed data. Its compliance-first strategy highlights a path forward in a contentious landscape.
Navigating AI’s Twin Perils: The Rise of the Risk-Mitigation Officer
Generative AI is reshaping trust and accountability in the digital landscape, leading to the emergence of the AI Risk-Mitigation Officer role. This strategic position blends technical, regulatory, and ethical expertise to proactively manage AI risks,...