At Davos, Satya Nadella, CEO of Microsoft, acknowledged Europe’s leadership in privacy protection, but warned that strong privacy rules alone are not enough to remain competitive in the AI era. Balancing data protection with innovation is key: regulations safeguard users, but tech leadership in AI requires investment, research, and flexibility. Europe’s challenge: stay a privacy champion without losing the AI race. Check Expresso for more: https://expresso.pt/economia/econo

Generative AI challenges the right to be forgotten. Large language models don’t store data as static records, they memorize patterns. Removing personal data isn’t as simple as deleting a row in a spreadsheet. Enter machine unlearning: emerging methods let AI models “forget” specific data without full retraining. Techniques like Example-Tied Dropout (ETD) and Redirection for Erasing Memory (REM) are enabling certified, auditable erasure while respecting computational limits. T

The European Union has officially adopted a new regulation under the Omnibus VII package to simplify and streamline the implementation of the AI Act. The new rules postpone the application of requirements for high-risk AI systems to 2027 and 2028, providing greater legal certainty and reducing compliance burdens for businesses. At the same time, the regulation strengthens safeguards by banning AI systems used to create non-consensual sexual deepfakes and AI-generated child se

As AI transcription tools like Otter.ai, Fireflies, and Microsoft Copilot become ubiquitous in meetings, organizations face a new set of privacy and compliance challenges. Employees may unknowingly record sensitive conversations, HR discussions, performance reviews, or medical accommodations, without proper consent or data safeguards. Organisations should update their AI policies to address recordings and transcripts, specify which meetings should not be recorded, review data

The European Parliament has switched off built-in AI features on the work devices of MEPs and staff due to cybersecurity and data protection risks. Some AI tools were sending data to cloud services, raising concerns about potential data exposure. While daily apps like email and calendars remain unaffected, the move highlights the growing need for caution when using AI tools, especially in sensitive environments. The Parliament advises staff and lawmakers to apply similar priv

As companies increasingly adopt AI in HR processes like hiring and performance management, new legal and operational challenges are emerging. Experts warn that relying on automated decision-making without proper human oversight can impact employees’ rights and lead to bias. Regulations such as the GDPR and the EU AI Act are pushing for greater transparency, accountability, and human intervention in AI-driven decisions. Businesses must also strengthen governance, ensure proper

The European Parliament has switched off built-in AI features on the work devices of MEPs and staff due to cybersecurity and data protection risks. Some AI tools were sending data to cloud services, raising concerns about potential data exposure. While daily apps like email and calendars remain unaffected, the move highlights the growing need for caution when using AI tools, especially in sensitive environments. The Parliament advises staff and lawmakers to apply similar priv

YouTube recently launched an AI-powered deepfake detection tool called “Likeness Detection,” which scans videos and compares creators’ facial features to identify manipulated or unauthorized content. To use the tool, creators must upload government-issued IDs and facial biometric videos, raising privacy concerns among experts. Google insists the data is used solely for identity verification and security features, not AI training. However, some warn that linking facial data to

The European Commission’s upcoming Digital Omnibus, aimed at simplifying EU digital and AI regulations, could put fundamental privacy rights at risk without guaranteeing real economic growth. Proposals include relaxing controls on data use for AI, expanding non-personal data definitions, and potentially limiting individuals’ access to their own data. While some minor improvements are expected, such as a single reporting point for incidents or simplified rules for SMEs, the co

Small and midsize businesses increasingly see data protection as a growth opportunity, but many still rely on outdated tools and inconsistent security practices. With ransomware cases rising and AI expanding the attack surface, SMBs face higher risks and need partners who can turn compliance pressure into practical resilience. From immutable storage and smarter backups to unified governance and awareness training, integrated solutions are becoming essential to keep operations

Even after the official opt-out period, there’s no guarantee that Meta won’t use your personal data—posts, photos, messages, and even memories—to train its AI systems. Experts warn that the opt-out process is confusing, fragmented across platforms like Facebook, Instagram, Messenger, and Threads, and often leaves users unsure if their refusal applies to all services. This raises serious concerns about transparency and control over our own information. By agreeing to terms wit

The EU has launched an investigation into X (formerly Twitter) over the use of personal data from EU and EEA users to train its AI models, including Grok. The Irish Data Protection Commission (DPC), acting on behalf of the EU, will examine whether X’s practices comply with key GDPR provisions, especially regarding legality and transparency. This follows X’s commitment in September to stop using certain EU user data for AI training. However, the company continued AI model deve

Chinese AI company DeepSeek is under investigation by several EU data protection authorities over potential GDPR breaches linked to...

Microsoft has made a strategic equity investment in Veeam, a global leader in data protection and ransomware recovery. This move deepens...