Alex Olinger

In recent years, lean authoring principles have emerged as a cornerstone for efficient and effective communication. These principles, which emphasize planning, avoiding redundancy, and using precise language, are especially relevant in technical and professional writing. Artificial intelligence (AI), particularly through the use of large language models (LLMs), is uniquely positioned to enhance these lean authoring…

The World Health Organization (WHO) has long been a guiding force in global health issues, setting standards and offering recommendations to ensure the well-being and safety of populations worldwide. Recently, the organization has turned its attention towards the burgeoning field of artificial intelligence (AI), particularly focusing on large language models (LLMs) like ChatGPT, Bard, and…

Artificial intelligence (AI) systems are increasingly integrated into various sectors, including healthcare, finance, and customer service, making their reliability and accuracy critical. However, one lesser-known issue that can arise with AI systems is confabulation (aka hallucinations, fabrications). This blog post will delve into what confabulations in AI are, why they occur, and how they can…

In an era dominated by rapid advancements in artificial intelligence (AI), the need for robust governance frameworks has never been more critical. The Universal Guidelines on Artificial Intelligence (UGAI) represented a pioneering effort to address the ethical, legal, and societal challenges posed by AI technologies. This article delves into the essence of the UGAI, its…

Clinical documentation is a critical component in the healthcare and pharmaceutical industries, serving as the backbone for clinical studies, regulatory submissions, and patient care. Developing and maintaining metrics for the production of clinical documentation is essential to ensure quality, compliance, and efficiency and to be able to identify and mitigate risk during this process. When…

In today’s rapid digital transformation of the clinical trials space, artificial intelligence (AI) is becoming an indispensable part of meeting business goals and improving patient care and treatment. One essential concept that bridges the evolving field of AI technology and effective human oversight required in such a regulated space is “Human in the Loop” (HITL). …

The environmental impact of artificial intelligence (AI) is increasingly scrutinized due to the significant energy consumption and carbon emissions associated with data centers and computational processes. As a product of Synterex, AgileWriter.ai embodies a unique position in the AI landscape, integrating Synterex’s rigorous sustainability practices to mitigate environmental impacts effectively. Integrating WHO’s Sustainability Framework Synterex…

Artificial intelligence (AI) continues to reshape industries, societies, and economies globally. As AI technologies evolve and integrate deeper into various sectors, establishing robust frameworks to manage their development and use becomes crucial. The Organisation for Economic Co-operation and Development (OECD) has taken significant steps in this direction with its Recommendation on Artificial Intelligence. This set…

In the rapidly evolving landscape of artificial intelligence (AI), the “11 × 11 tipping point” has emerged as a critical concept. This tipping point refers to the moment when AI technologies reach an optimal level of efficiency and effectiveness. For medical communicators and medical writers, this breakthrough represents a significant opportunity to revolutionize both content…