Stop accidentally sharing AI videos - 6 ways to tell real from fake before it's too late

Apple has named Tiimo, an AI-driven visual planner designed for individuals with ADHD, as its iPhone App of the Year for 2025. This recognition highlights the growing importance of artificial intelligence in enhancing user experience, particularly for those with specific needs.

OpenAI has developed a version of GPT-5 that can admit to its own errors, a significant step in addressing concerns about AI honesty and transparency. This new capability, referred to as 'confessions', aims to enhance the reliability of AI systems by encouraging them to self-report misbehavior. However, experts caution that this is not a comprehensive solution to the broader safety issues surrounding AI technology.

The Future of Life Institute conducted a safety review of eight leading AI labs, revealing that many, including popular AI tools, received low grades, indicating insufficient safety measures. This raises significant concerns about the overall commitment of these labs to ethical AI development.

Autonomous Vehicles (AVs) are advancing rapidly, driven by improvements in intelligent perception and control systems, with a critical focus on reliable object detection in complex environments. Recent research highlights the integration of Vision-Language Models (VLMs) and Large Language Models (LLMs) as pivotal in overcoming existing challenges in multimodal perception and contextual reasoning.

The study on generative AI (GenAI) practices in Italy reveals significant adoption among Italian-speaking adults, with 1,906 participants reporting usage for both personal and professional tasks, including sensitive areas like emotional support and medical advice. Despite this widespread use, many users exhibit low digital literacy, raising concerns about their ability to identify misinformation.

A recent study highlights the implementation of an AI framework within Shriners Childrens, focusing on enhancing data quality in their Research Data Warehouse. The modernization to OMOP CDM v5.4 and the introduction of a Python-based data quality assessment tool aim to address existing challenges in AI system evaluations and clinical adoption.

A new dataset of prostate biopsy whole slide images has been released, featuring 339 images from 185 patients in Erbil, Iraq. This dataset aims to enhance the development and validation of artificial intelligence models in pathology, addressing the scarcity of publicly available histopathology datasets from underrepresented populations, particularly in the Middle East.

The increasing use of wearable sensors has the potential to generate extensive time series data, which could enhance applications in human sensing through Artificial Intelligence. However, ethical regulations and privacy concerns are significantly limiting data collection, presenting challenges in the advancement of generative AI technologies, particularly in synthesizing this data effectively.