Tag: AI governance

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AI

Musk v. Altman week 2: OpenAI fires back, and Shivon Zilis reveals that Musk tried to poach Sam Altman

Elon Musk’s civil trial, which began jury selection on April 27, 2026, tests a narrow legal condition: can OpenAI’s switch from a nonprofit founding promise to a for‑profit public benefit corporation in October 2025 be treated as fraud or unjust enrichment? The judge has let fraud and unjust enrichment claims proceed while dismissing breach-of-contract counts; […]

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AI

AI and Democracy Aren’t Preordained: Governance Choices Determine Whether Tools Help or Harm

AI’s effects on democratic life are not automatic: the same tools can broaden citizen representation or amplify exclusion depending on governance choices. Recent empirical work and policy blueprints show where modest interventions win public trust and where stronger oversight or literacy investments are necessary to avoid concrete harms. Where modest fixes deliver measurable gains Field […]

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Security

Anthropic briefed the Trump administration while suing the Pentagon — why Mythos forces banks and regulators to pick careful safeguards

Anthropic has simultaneously pushed Mythos into conversations at the highest levels of government and finance while locked in a legal fight with the Department of Defense—an unusual posture that makes Mythos a distinct governance and operational problem for banks, regulators, and infrastructure providers. What banks and financial regulators are being asked to weigh Mythos is […]

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AI

Agentic AI isn’t a plug‑in: scale comes from zero‑based process redesign and modern infrastructure

Agentic AI can automate workflows that traditional automation could not—but only when enterprises rebuild processes and infrastructure around autonomous agents instead of tacking agents onto legacy flows. Layering agents on old systems often produces fragile, expensive projects; Gartner predicts more than 40% of agentic AI initiatives will fail by 2027 because of integration and data‑architecture […]

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AI

Customization Is Now Infrastructure: Build Modular ModelOps, Not One-Off Fine-Tuning

Enterprises that treat AI customization as a project instead of core infrastructure are already losing ground. The stronger signal from the market and vendors (Microsoft Azure, Red Hat AI) is that durable advantage comes from modular, governed pipelines that let organizations embed domain knowledge and evolve models continuously, not from isolated fine-tuning experiments. Assembling modular […]

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Security

Varonis launches Atlas: shifts AI security from discovery to inline runtime protection — next test is enterprise-scale adoption

Varonis Systems has launched Varonis Atlas, an end-to-end AI security platform that combines continuous AI asset discovery, runtime protection, threat detection, and governance with the company’s data-sensitivity context. The product is pitched as more than a discovery or monitoring tool: Atlas aims to close blind spots from shadow AI through to live model interactions and […]

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AI

At The Mox, Bay Area animal-welfare advocates turned AI into practical tools, new funding channels, and governance questions — not just sentience speculation

In February 2025 at The Mox in San Francisco, animal–welfare advocates and AI researchers convened to move beyond simplistic narratives about AI either replacing human advocacy or only raising sci‑fi questions about machine minds. The meeting laid out concrete deployments, shifts in philanthropic supply, and governance gaps that could matter within years, not decades. A […]

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Security

Shadow AI hiding inside approved SaaS — why browser-level, continuous detection matters more than periodic vendor reviews

Shadow AI is no longer just employees installing new AI apps: it increasingly appears as quietly enabled features inside trusted SaaS tools. Obsidian Security logged 69,749 user interactions with embedded AI in a 30‑day window, most of which would have been invisible without browser-level monitoring — a sign that periodic procurement reviews alone no longer […]

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AI

CIOs: Agentic AI won’t scale unless you treat it as an organizational transformation

Agentic AI — autonomous, multi-step agents that act on data and interact with systems — is moving from pilots to potential enterprise infrastructure. The catch: success depends less on a marginally better model and more on governance, cross‑team operating changes, and ongoing human-agent collaboration. Microsoft’s five‑level adoption maturity model and MIT Sloan research both point […]

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