Consumer protection

Google outlines roadmap for safer generative AI for young users

Google has presented a strategy for developing generative AI systems designed to protect younger users better better while supporting learning and creativity.

The approach emphasises building conversational AI experiences that balance innovation with safeguards tailored to children and teenagers.

The company’s framework rests on three pillars: protecting young people online, respecting the role of families in digital environments and enabling youth to explore AI technologies responsibly.

According to Google, safety policies prohibit harmful content, including material linked to child exploitation, violent extremism and self-harm, while additional restrictions target age-inappropriate topics.

Safeguards are integrated throughout the AI development lifecycle, from user input to model responses. Systems use specialised classifiers to detect potentially harmful queries and prevent inappropriate outputs.

These protections are also applied to models such as Gemini, which incorporates defences against prompt manipulation and cyber misuse.

Beyond preventing harm, Google aims to support responsible AI adoption through educational initiatives.

Resources designed for families encourage discussions about responsible technology use, while tools such as Guided Learning in Gemini seek to help students explore complex topics through structured explanations and interactive learning support.

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Over 85 companies join global crypto partner program 

Mastercard has introduced the Crypto Partner Program, a global initiative connecting more than 85 crypto-native companies, payments providers, and financial institutions. The program aims to create a forum for collaboration that aligns innovation in digital assets with traditional payment systems.

Enterprise use cases such as cross-border remittances, payouts, and settlements are growing, underscoring the practical potential of on-chain payments. Participants will collaborate with Mastercard to design products that combine the speed and programmability of digital assets with existing card rails and global commerce.

The initiative builds on Mastercard’s long-standing approach to blockchain and digital assets, including Start Path and the Engage platform, which provide opportunities for collaboration, innovation, and growth.

The program focuses on turning technical innovation into scalable, compliant solutions that can operate across markets and everyday commerce.

Partners in the Crypto Partner Program include Binance, Circle, Crypto.com, Solana, Ripple, PayPal, and over 80 other industry leaders, demonstrating the growing ecosystem of companies working together to shape the future of digital payments.

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AI-driven adaptive malware highlights new cyber threat landscape

Google’s cybersecurity division, Mandiant, has warned about the growing threat of AI-driven adaptive malware, highlighting how AI is reshaping the cyber threat landscape.

According to a recent report, adaptive malware can modify its behaviour and code in response to the environment it encounters, thereby evading traditional security tools. By analysing the security systems protecting a target, the malware can rewrite parts of its code to bypass detection.

Unlike traditional malware, which typically follows fixed instructions, adaptive malware can adjust its behaviour during an attack. This capability makes it more difficult for conventional cybersecurity tools to detect and block malicious activity.

Mandiant noted that such malware is increasingly associated with advanced persistent threat (APT) groups that conduct long-term, targeted cyber operations. These groups often pursue espionage objectives or financial gain while maintaining prolonged access to compromised systems.

AI is also being used to automate elements of cyberattacks. Machine learning algorithms allow malicious software to anticipate defensive measures and adjust its behaviour in real time. In some cases, attackers are integrating AI into broader automated attack chains. AI-driven malware can gather information, adapt its strategy, and continue operating with minimal human intervention.

Security researchers say autonomous AI agents may be capable of managing multiple stages of an attack, including reconnaissance, exploitation, and persistence, while remaining undetected.

To address these evolving threats, Mandiant recommends that organisations strengthen their cybersecurity strategies by deploying advanced detection and response tools, including AI-based systems that can identify anomalous behaviour. As AI capabilities continue to develop, cybersecurity experts say understanding adaptive malware and automated attack techniques will be essential for organisations seeking to protect their systems and data.

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Spain expands digital oversight of online hate

Spain has launched a digital system designed to track hate speech and disinformation across social media platforms. Prime Minister Pedro Sánchez presented the tool in Madrid as part of a wider effort to improve oversight of online platforms.

The platform known as HODIO will analyse public posts and measure the spread and reach of hateful content. Authorities in Spain say the project will publish regular reports examining how platforms respond to harmful material.

The monitoring initiative is managed by Spain’s Observatory on Racism and Xenophobia. Officials in Spain say the data will help citizens understand the scale of online hate and assess how social networks address abusive content.

The initiative forms part of a broader digital policy agenda in Spain that also includes measures to protect minors online. Policymakers in Spain have discussed proposals such as restrictions on social media use by children under 16.

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AI and quantum computing reshape the global cybersecurity landscape

Cybersecurity risks are increasing as digital connectivity expands across governments, businesses and households.

According to Thales Group, a growing number of connected devices and digital services has significantly expanded the potential entry points for cyberattacks.

AI is reshaping the cybersecurity landscape by enabling attackers to identify vulnerabilities at unprecedented speed.

Security specialists increasingly describe the environment as a contest in which defensive systems must deploy AI to counter adversaries using similar technologies to exploit weaknesses in digital infrastructure.

Security concerns also extend beyond large institutions. Connected devices in homes, including smart cameras and speakers, often lack robust security protections, increasing exposure for individuals and networks.

Policymakers in Europe are responding through measures such as the Cyber Resilience Act, which will introduce mandatory security requirements for connected products sold in the EU.

Long-term risks are also emerging from advances in quantum computing.

Experts warn that powerful future machines could eventually break widely used encryption systems that currently protect communications, financial data and government networks, prompting organisations to adopt quantum-resistant security methods.

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EU lawmakers call for stronger copyright safeguards in AI training

The European Parliament has adopted a report urging policymakers to establish a long-term framework protecting copyrighted works used in AI training.

These recommendations aim to ensure that creative industries retain transparency and fair treatment as generative AI technologies expand.

Among the central proposals is the creation of a European register managed by the European Union Intellectual Property Office. The database would list copyrighted works used to train AI systems and identify creators who have chosen to exclude their content from such use.

Lawmakers in the EU are also calling for greater transparency from AI developers, including disclosure of the websites from which training data has been collected. According to the report, failing to meet transparency requirements could raise questions about compliance with existing copyright rules.

The recommendations have received mixed reactions from industry stakeholders.

Organisations representing creators argue that stronger safeguards are necessary to ensure fair remuneration and legal clarity, while technology sector groups caution that additional requirements could create complexity for companies developing AI systems.

The report is not legally binding but signals the political direction of ongoing European discussions on copyright and AI governance.

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Lawmakers urged to rethink rules on private messaging

Policymakers are being urged to rethink the regulation of private messaging platforms as disinformation campaigns increasingly spread through closed digital networks. Researchers say messaging apps now play a major role in political communication and crisis information flows.

Evidence from elections and conflicts highlights the challenge. During Brazil’s 2024 municipal elections, manipulated political content spread widely through WhatsApp groups, while authorities in Ukraine reported Telegram being used for both emergency communication and disinformation.

Experts argue that current laws often fail to address messaging platforms, such as Telegram, because regulation typically targets public social media spaces. Analysts say modern messaging services combine private chats with broadcast channels and other features that allow content to reach large audiences.

Policy specialists propose regulating specific platform features rather than entire services. Governments and technology companies are also encouraged to protect encryption while expanding transparency tools, media literacy programmes and user safeguards.

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Writers publish protest book to challenge AI use of copyrighted works

Thousands of writers have joined a symbolic protest against AI companies by publishing a book that contains no traditional content.

The work, titled “Don’t Steal This Book,” lists only the names of roughly 10,000 contributors who oppose the use of their writing to train AI systems without their permission.

An initiative that was organised by composer and campaigner Ed Newton-Rex and distributed during the London Book Fair. Contributors include prominent authors such as Kazuo Ishiguro, Philippa Gregory and Richard Osman, along with thousands of other writers and creative professionals.

Campaigners argue that generative AI systems are trained on vast collections of copyrighted material gathered from the internet without authorisation or compensation.

According to organisers, such practices allow AI tools to compete with the creators whose works were used to develop them.

The protest arrives as the UK Government prepares an economic assessment of potential copyright reforms related to AI. Proposals under discussion include allowing AI developers to use copyrighted material unless rights holders explicitly opt out.

Many writers and artists oppose that approach and demand stronger copyright protections. In parallel, the publishing sector is preparing a licensing initiative through Publishers’ Licensing Services to provide AI developers with legal access to books while ensuring authors receive compensation.

The dispute reflects a growing global debate over how copyright law should apply to generative AI systems that rely on massive datasets to develop chatbots and other digital tools.

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Amazon launches Health AI to assist with medical queries

Amazon has launched a new AI-powered assistant, Health AI, on its website and mobile app. The tool is designed to answer health questions, explain medical records, manage prescriptions, and connect users with healthcare providers.

Health AI can also book appointments and guide users based on their health information if they grant access to their records. The feature is currently limited to the US, with a wider rollout planned in the coming weeks.

The assistant is linked with One Medical, Amazon’s healthcare service, allowing users to communicate with licensed professionals through messages, video consultations, or in-person visits. It can also send prescription renewal requests and suggest relevant health products.

Users can create an Amazon Health Profile and enable two-step authentication to start using Health AI. By allowing the AI to access their medical records, including medications, lab results, and diagnoses, users can receive more personalised responses.

Amazon emphasises that Health AI is a support tool rather than a replacement for doctors. It helps users understand health information and prepare for discussions with healthcare providers, but it does not provide independent diagnoses or treatment.

As part of an introductory offer, eligible US Prime members can receive up to five free message consultations with One Medical providers. The system runs on Amazon Bedrock and uses multiple AI agents to manage tasks, monitor interactions, and escalate to human professionals when necessary.

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