Human rights principles Archives | Page 139 of 162

Spotify under fire for AI-generated songs on memorial artist pages

Spotify is facing criticism after AI-generated songs were uploaded to the pages of deceased artists without consent from estates or rights holders.

The latest case involves country singer-songwriter Blaze Foley, who died in 1989. A track titled ‘Together’ was posted to his official Spotify page over the weekend. The song sounded vaguely like a slow country ballad and was paired with AI-generated cover art showing a man who bore no resemblance to Foley.

Craig McDonald, whose label manages Foley’s catalogue, confirmed the track had nothing to do with the artist and described it as inauthentic and harmful. ‘I can clearly tell you that this song is not Blaze, not anywhere near Blaze’s style, at all,’ McDonald told 404 Media. ‘It has the authenticity of an algorithm.’

He criticised Spotify for failing to prevent such uploads and said the company had a duty to stop AI-generated music from appearing under real artists’ names.

‘It’s kind of surprising that Spotify doesn’t have a security fix for this type of action,’ he said. ‘They could fix this problem if they had the will to do so.’ Spotify said it had flagged the track to distributor SoundOn and removed it for violating its deceptive content policy.

However, other similar uploads have already emerged. The same company, Syntax Error, was linked to another AI-generated song titled ‘Happened To You’, uploaded last week under the name of Grammy-winning artist Guy Clark, who died in 2016.

Both tracks have since been removed, but Spotify has not explained how Syntax Error was able to post them using the names and likenesses of late musicians. The controversy is the latest in a wave of AI music incidents slipping through streaming platforms’ content checks.

Earlier this year, an AI-generated band called The Velvet Sundown amassed over a million Spotify streams before disclosing that all their vocals and instrumentals were made by AI.

Another high-profile case involved a fake Drake and The Weeknd collaboration, ‘Heart on My Sleeve’, which gained viral traction before being taken down by Universal Music Group.

Rights groups and artists have repeatedly warned about AI-generated content misrepresenting performers and undermining creative authenticity. As AI tools become more accessible, streaming platforms face mounting pressure to improve detection and approval processes to prevent further misuse.

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UK and OpenAI deepen AI collaboration on security and public services

OpenAI has signed a strategic partnership with the UK government aimed at strengthening AI security research and exploring national infrastructure investment.

The agreement was finalised on 21 July by OpenAI CEO Sam Altman and science secretary Peter Kyle. It includes a commitment to expand OpenAI’s London office. Research and engineering teams will grow to support AI development and provide assistance to UK businesses and start-ups.

Under the collaboration, OpenAI will share technical insights with the UK’s AI Security Institute to help government bodies better understand risks and capabilities. Planned deployments of AI will focus on public sectors such as justice, defence, education, and national security.

According to the UK government, all applications will follow national standards and guidelines to improve taxpayer-funded services. Peter Kyle described AI as a critical tool for national transformation. ‘AI will be fundamental in driving the change we need to see across the country,’ he said.

He emphasised its potential to support the NHS, reduce barriers to opportunity, and power economic growth. The deal signals a deeper integration of OpenAI’s operations in the UK, with promises of high-skilled jobs, investment in infrastructure, and stronger domestic oversight of AI development.

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New GLOBAL GROUP ransomware targets all major operating systems

A sophisticated new ransomware threat, dubbed GLOBAL GROUP, has emerged on cybercrime forums, meticulously designed to target systems across Windows, Linux, and macOS with cross-platform precision.

In June 2025, a threat actor operating under the alias ‘Dollar Dollar Dollar’ launched the GLOBAL GROUP Ransomware-as-a-Service (RaaS) platform on the Ramp4u forum. The campaign offers affiliates scalable tools, automated negotiations, and generous profit-sharing, creating an appealing setup for monetising cybercrime at scale.

GLOBAL GROUP leverages the Golang language to build monolithic binaries, enabling seamless execution across varied operating environments in a single campaign. The strategy expands attackers’ reach, allowing them to exploit hybrid infrastructures while improving operational efficiency and scalability.

Golang’s concurrency model and static linking make it an attractive option for rapid, large-scale encryption without relying on external dependencies. However, forensic analysis by Picus Security Labs suggests GLOBAL GROUP is not an entirely original threat but rather a rebrand of previous ransomware operations.

Researchers linked its code and infrastructure to the now-defunct Mamona RIP and Black Lock families, revealing continuity in tactics and tooling. Evidence includes a reused mutex string—’Global\Fxo16jmdgujs437’—which was also found in earlier Mamona RIP samples, confirming code inheritance.

The re-use of such technical markers highlights how threat actors often evolve existing malware rather than building from scratch, streamlining development and deployment.

Beyond its cross-platform flexibility, GLOBAL GROUP also integrates modern cryptographic features to boost effectiveness and resistance to detection. It employs the ChaCha20-Poly1305 encryption algorithm, offering both confidentiality and message integrity with high processing performance.

The malware leverages Golang’s goroutines to encrypt all system drives simultaneously, reducing execution time and limiting defenders’ reaction window. Encrypted files receive customised extensions like ‘.lockbitloch’, with filenames also obscured to hinder recovery efforts without the correct decryption key.

Ransom note logic is embedded directly within the binary, generating tailored communication instructions and linking to Tor-based leak sites. The approach simplifies extortion for affiliates while preserving operational security and ensuring anonymous negotiations with victims.

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Co-op confirms massive data breach as retail cyberattacks surge

All 6.5 million members of the Co-op had their personal data compromised in a cyberattack carried out on 30 April, the company’s chief executive has confirmed.

Shirine Khoury-Haq said the breach felt ‘personal’ after seeing the toll it took on IT teams fighting off the intrusion. She spoke in her first interview since the breach, broadcast on BBC Breakfast.

Initial statements from the Co-op described the incident as having only a ‘small impact’ on internal systems, including call centres and back-office operations.

Alleged hackers soon contacted media outlets and claimed to have accessed both employee and customer data, prompting the company to update its assessment.

The Co-op later admitted that data belonging to a ‘significant number’ of current and former members had been stolen. Exposed information included names, addresses, and contact details, though no payment data was compromised.

Restoration efforts are still ongoing as the company works to rebuild affected back-end systems. In some locations, operational disruption led to empty shelves and prolonged outages.

Khoury-Haq recalled meeting employees during the remediation phase and said she was ‘incredibly sorry’ for the incident. ‘I will never forget the looks on their faces,’ she said.

The attackers’ movements were closely tracked. ‘We were able to monitor every mouse click,’ Khoury-Haq added, noting that this helped authorities in their investigation.

The company reportedly disconnected parts of its network in time to prevent ransomware deployment, though not in time to avoid significant damage. Police said four individuals were arrested earlier this month in connection with the Co-op breach and related retail incidents. All have been released on bail.

Marks & Spencer and Harrods were also hit by cyberattacks in early 2025, with M&S still restoring affected systems. Researchers believe the same threat actor is responsible for all three attacks.

The group, identified as Scattered Spider, has previously disrupted other high-profile targets, including major US casinos in 2023.

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Fashion sector targeted again as Louis Vuitton confirms data breach

Louis Vuitton Hong Kong is under investigation after a data breach potentially exposed the personal information of around 419,000 customers, according to the South China Morning Post.

The company informed Hong Kong’s privacy watchdog on 17 July, more than a month after its French office first detected suspicious activity on 13 June. The Office of the Privacy Commissioner has now launched a formal inquiry.

Early findings suggest that compromised data includes names, passport numbers, birth dates, phone numbers, email addresses, physical addresses, purchase histories, and product preferences.

Although no complaints have been filed so far, the regulator is examining whether the reporting delay breached data protection rules and how the unauthorised access occurred. Louis Vuitton stated that it responded quickly with the assistance of external cybersecurity experts and confirmed that no payment details were involved.

The incident adds to a growing list of cyberattacks targeting fashion and retail brands in 2025. In May, fast fashion giant Shein confirmed a breach that affected customer support systems.

[Correction] Contrary to some reports, Puma was not affected by a ransomware attack in 2025. This claim appears to be inaccurate and is not corroborated by any verified public disclosures or statements by the company. Please disregard any previous mentions suggesting otherwise.

Security experts have warned that the sector remains a growing target due to high-value customer data and limited cyber defences. Louis Vuitton said it continues to upgrade its security systems and will notify affected individuals and regulators as the investigation continues.

‘We sincerely regret any concern or inconvenience this situation may cause,’ the company said in a statement.

[Dear readers, a previous version of this article highlighted incorrect information about a cyberattack on Puma. The information has been removed from our website, and we hereby apologise to Puma and our readers.]

Police scan faces amid safety concerns at carnival

The Metropolitan Police will deploy live facial recognition (LFR) around this year’s Notting Hill Carnival, the first official use at Europe’s largest street festival, which draws roughly 2 million people during the August bank holiday.

Mobile LFR cameras will scan crowds within a three-mile radius to identify wanted individuals, including knife offenders, rapists, and robbers. The operation is supported by an additional £1 million in security funding and approximately 7,000 officers on duty each day.

Past trials in 2016 and 2017 flagged 102 innocent people, prompting civil liberties backlash and trial abandonment.

The Met acknowledges past issues but asserts that accuracy has improved; the National Physical Laboratory saw no statistically significant racial or gender bias. Still, false positives continue to occur, and privacy advocates remain wary.

The deployment reflects the UK’s wider adoption of biometric surveillance technologies. While officials argue LFR enhances public safety and helps preempt mass casualty events, critics warn it may deepen mistrust among minority communities unless transparency, oversight, and accuracy are further guaranteed. This move reignites debate on balancing crowd security and civil liberties in modern policing.

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How to keep your data safe while using generative AI tools

Generative AI tools have become a regular part of everyday life, both professionally and personally. Despite their usefulness, concern is growing about how they handle private data shared by users.

Major platforms like ChatGPT, Claude, Gemini, and Copilot collect user input to improve their models. Much of this data handling occurs behind the scenes, raising transparency and security concerns.

Anat Baron, a generative AI expert, compares AI models to Pac-Man—constantly consuming data to enhance performance. The more information they receive, the more helpful they become, often at the expense of privacy.

Many users ignore warnings not to share sensitive information. Baron advises against sharing anything with AI that one would not give to a stranger, including ID numbers, financial data, and medical results.

Some platforms offer options to reduce data collection. ChatGPT users can disable training under ‘Data Controls’, while Claude collects data only if users opt in. Perplexity and Gemini offer similar, though less transparent, settings.

Microsoft’s Copilot protects organisational data when logged in, but risks increase when used anonymously on the web. DeepSeek, however, collects user data automatically with no opt-out—making it a risky choice.

Users still retain control, but must remain alert. AI tools are evolving, and with digital agents on the horizon, safeguarding personal information is becoming even more critical. Baron sums it up simply: ‘Privacy always comes at a cost. We must decide how much we’re willing to trade for convenience.’

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Agentic AI gains ground as GenAI maturity grows in public sector

Public sector organisations around the world are rapidly moving beyond experimentation with generative AI (GenAI), with up to 90% now planning to explore, pilot, or implement agentic AI systems within the next two years.

Capgemini’s latest global survey of 350 public sector agencies found that most already use or trial GenAI, while agentic AI is being recognised as the next step — enabling autonomous, goal-driven decision-making with minimal human input.

Unlike GenAI, which generates content subject to human oversight, agentic AI can act independently, creating new possibilities for automation and public service delivery.

Dr Kirti Jain of Capgemini explained that GenAI depends on human-in-the-loop (HITL) processes, where users review outputs before acting. By contrast, agentic AI completes the final step itself, representing a future phase of automation. However, data governance remains a key barrier to adoption.

Data sovereignty emerged as a leading concern for 64% of surveyed public sector leaders. Fewer than one in four said they had sufficient data to train reliable AI systems. Dr Jain emphasised that governance must be embedded from the outset — not added as an afterthought — to ensure data quality, accountability, and consistency in decision-making.

A proactive approach to governance offers the only stable foundation for scaling AI responsibly. Managing the full data lifecycle — from acquisition and storage to access and application — requires strict privacy and quality controls.

Significant risks arise when flawed AI-generated insights influence decisions affecting entire populations. Capgemini’s support for government agencies focuses on three areas: secure infrastructure, privacy-led data usability, and smarter, citizen-centric services.

EPA Victoria CTO Abhijit Gupta underscored the need for timely, secure, and accessible data as a prerequisite for AI in the public sector. Accuracy and consistency, Dr Jain noted, are essential whether outcomes are delivered by humans or machines. Governance, he added, should remain technology-agnostic yet agile.

Strong data foundations require only minor adjustments to scale agentic AI that can manage full decision-making cycles. Capgemini’s model of ‘active data governance’ aims to enable public sector AI to scale safely and sustainably.

Singapore was highlighted as a leading example of responsible innovation, driven by rapid experimentation and collaborative development. The AI Trailblazers programme, co-run with the private sector, is tackling over 100 real-world GenAI challenges through a test-and-iterate model.

Minister for Digital Josephine Teo recently reaffirmed Singapore’s commitment to sharing lessons and best practices in sustainable AI development. According to Dr Jain, the country’s success lies not only in rapid adoption, but in how AI is applied to improve services for citizens and society.

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Human rights must anchor crypto design

Crypto builders face growing pressure to design systems that protect fundamental human rights from the outset. As concerns mount over surveillance, state-backed ID systems, and AI impersonation, experts warn that digital infrastructure must not compromise individual freedom.

Privacy-by-default, censorship resistance, and decentralised self-custody are no longer idealistic features — they are essential for any credible Web3 system. Critics argue that many current tools merely replicate traditional power structures, offering centralisation disguised as innovation.

The collapse of platforms like FTX has only strengthened calls for human-centric solutions.

New approaches are needed to ensure people can prove their personhood online without relying on governments or corporations. Digital inclusion depends on verification systems that are censorship-resistant, privacy-preserving and accessible.

Likewise, self-custody must evolve beyond fragile key backups and complex interfaces to empower everyday users.

While embedding values in code brings ethical and political risks, avoiding the issue could lead to greater harm. For the promise of Web3 to be realised, rights must be a design priority — not an afterthought.

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Perplexity CEO predicts that AI browser could soon replace recruiters and assistants

Perplexity AI CEO Aravind Srinivas believes that the company’s new AI-powered browser, Comet, could soon replace two key white-collar roles in most offices: recruiters and executive assistants.

Speaking on The Verge podcast, Srinivas explained that with the integration of more advanced reasoning models like GPT-5 or Claude 4.5, Comet will be able to handle tasks traditionally assigned to these positions.

He also described how a recruiter’s week-long workload could be reduced to a single AI prompt.

From sourcing candidates to scheduling interviews, tracking responses in Google Sheets, syncing calendars, and even briefing users ahead of meetings, Comet is built to manage the entire process—often without any follow-up input.

The tool remains in an invite-only phase and is currently available to premium users.

Srinivas also framed Comet as the early foundation of a broader AI operating system for knowledge workers, enabling users to issue natural language commands for complex tasks.

He emphasised the importance of adopting AI early, warning that those who fail to keep pace with the technology’s rapid growth—where breakthroughs arrive every few months—risk being left behind in the job market.

In a separate discussion, he urged younger generations to reduce time spent scrolling on Instagram and instead focus on mastering AI tools. According to him, the shift is inevitable, and those who embrace it now will hold a long-term professional advantage.

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