It's complicated. The relationship of algorithmic fairness and non-discrimination regulations for high-risk systems in the EU AI Act

Google is facing a potential significant fine from the European Union in the first quarter of 2026 if it fails to enhance compliance of its Google Play platform with EU competition regulations. This warning comes as the EU intensifies scrutiny on tech giants regarding their market practices.

The European Union has imposed a €120 million ($140 million) fine on Elon Musk's social media platform X for violating content moderation laws under the Digital Services Act. This decision has raised concerns from U.S. trade officials, particularly Donald Trump's top trade negotiator, who expressed disappointment over the EU's regulatory approach towards American tech companies.

MixtureVitae has been introduced as an open-access pretraining dataset designed to minimize legal risks while enhancing model performance. It combines public-domain and permissively licensed texts with low-risk additions, focusing on instruction and reasoning data, and is accompanied by a transparent curation process for reproducible research.

The European Union has initiated an antitrust investigation into Google's practices regarding the use of online content for training its artificial intelligence models, particularly focusing on content sourced from platforms like YouTube. This inquiry raises significant concerns about potential violations of EU competition laws.

The European Union has launched an antitrust investigation into Google's use of online content from media and publishers for training its artificial intelligence services. This inquiry aims to determine if Google has violated competition laws by utilizing this content without proper compensation or consent from the creators.

Meta has received approval from the European Union for its revised advertising experience, following penalties under the Digital Markets Act (DMA). This approval comes after the company faced scrutiny for its data practices and advertising models, which were deemed non-compliant with EU regulations.

SweetDeep is a newly developed wearable AI solution designed for real-time, non-invasive diabetes screening. It utilizes a compact neural network trained on physiological and demographic data from 285 participants across the EU and MENA regions, collected using Samsung Galaxy Watch 7 devices over six days. The system achieved a patient-level accuracy of 82.5% through three-fold cross-validation.