🔆 Gen AI in Health Tech: A Neuroscientist's Perspective

In this week's newsletter

What we’re talking about: The promises and perils of using GenAI in health tech, with insights from a neuroscientist.

How it’s relevant: Over 80% of researchers already use tools like ChatGPT in their research workflows, which means it’s never been more important to understand the red flags amidst the excitement.

Why it matters: The proper integration of AI in healthcare requires balancing technological innovation with human expertise to ensure safe, effective, and scientifically sound solutions for patients and providers.

Big tech news of the week…

☄️ A high school student from California has made a groundbreaking discovery in astronomy, developing an AI algorithm to identify 1.5 million previously unknown objects in space. 

🇪🇺 Meta has confirmed plans to train its AI models on content shared by its adult users in the EU. While the company stresses this as a transparent and compliant approach that will benefit its European users, there is open debate on the effectiveness and fairness of their “opt-out” system for this kind of data collection. 

🐬 Google has unveiled DolphinGemma, an AI model designed to decode dolphin vocalizations, in collaboration with researchers from Georgia Tech and the Wild Dolphin Project.

🦺 OpenAI launched a new family of AI models, GPT-4.1, without the safety report that typically accompanies their model releases. This avoidance is part of a growing trend of leading AI labs lowering their reporting standards. While not mandated by law or regulation, these reports are seen as good-faith efforts to support independent research and promote accountability.