Microsoft faces Australian lawsuit over hidden AI subscription option

In a legal move that underscores growing scrutiny of digital platforms, the Australian Competition and Consumer Commission (ACCC) has filed a lawsuit in the Federal Court against Microsoft Corporation, accusing the company of misleading approximately 2.7 million Australian personal and family-plan subscribers of its Microsoft 365 service after integrating its AI assistant Copilot.

According to the ACCC, Microsoft raised subscription prices by 45 % for the Personal plan and 29 % for the Family plan after bundling Copilot starting 31 October 2024.

The regulator says Microsoft told consumers their only options were to pay the higher price with AI or cancel their subscription, while failing to clearly disclose a cheaper ‘Classic’ version of the plan without Copilot that remained available.

The ACCC argues Microsoft’s communications omitted the existence of that lower-priced plan unless consumers initiated the cancellation process. Chair Gina Cass-Gottlieb described this omission as ‘very serious conduct’ that deprived customers of informed choice.

The regulator is seeking penalties, consumer redress, injunctions and costs, with potential sanctions of AUS $50 million (or more) per breach.

This action signals a broader regulatory push into how major technology firms bundle AI features, raise prices and present options to consumers, an issue that ties into digital economy governance, consumer trust and platform accountability.

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Wikipedia founder questions Musk’s Grokipedia accuracy

Speaking at the CNBC Technology Executive Council Summit in New York, Wikipedia founder Jimmy Wales has expressed scepticism about Elon Musk’s new AI-powered Grokipedia, suggesting that large language models cannot reliably produce accurate wiki entries.

Wales highlighted the difficulties of verifying sources and warned that AI tools can produce plausible but incorrect information, citing examples where chatbots fabricated citations and personal details.

He rejected Musk’s claims of liberal bias on Wikipedia, noting that the site prioritises reputable sources over fringe opinions. Wales emphasised that focusing on mainstream publications does not constitute political bias but preserves trust and reliability for the platform’s vast global audience.

Despite his concerns, Wales acknowledged that AI could have limited utility for Wikipedia in uncovering information within existing sources.

However, he stressed that substantial costs and potential errors prevent the site from entirely relying on generative AI, preferring careful testing before integrating new technologies.

Wales concluded that while AI may mislead the public with fake or plausible content, the Wiki community’s decades of expertise in evaluating information help safeguard accuracy. He urged continued vigilance and careful source evaluation as misinformation risks grow alongside AI capabilities.

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Meta and TikTok agree to comply with Australia’s under-16 social media ban

Meta and TikTok have confirmed they will comply with Australia’s new law banning under-16s from using social media platforms, though both warned it will be difficult to enforce. The legislation, taking effect on 10 December, will require major platforms to remove accounts belonging to users under that age.

The law is among the world’s strictest, but regulators and companies are still working out how it will be implemented. Social media firms face fines of up to A$49.5 million if found in breach, yet they are not required to verify every user’s age directly.

TikTok’s Australia policy head, Ella Woods-Joyce, warned the ban could drive children toward unregulated online spaces lacking safety measures. Meta’s director, Mia Garlick, acknowledged the ‘significant engineering and age assurance challenges’ involved in detecting and removing underage users.

Critics including YouTube and digital rights groups have labelled the ban vague and rushed, arguing it may not achieve its aim of protecting children online. The government maintains that platforms must take ‘reasonable steps’ to prevent young users from accessing their services.

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Apple fined over unfair iPhone sales contracts in France

A Paris court has ordered Apple to pay around €39 million to French mobile operators, ruling that the company imposed unfair terms in contracts governing iPhone sales more than a decade ago. The court also fined Apple €8 million and annulled several clauses deemed anticompetitive.

Judges found that Apple required carriers to sell a set number of iPhones at fixed prices, restricted how its products were advertised, and used operators’ patents without compensation. The French consumer watchdog DGCCRF had first raised concerns about these practices years earlier.

Under the ruling, Apple must compensate three of France’s four major mobile networks; Bouygues Telecom, Free, and SFR. The decision applies immediately despite Apple’s appeal, which will be heard at a later date.

Apple said it disagreed with the ruling and would challenge it, arguing that the contracts reflected standard commercial arrangements of the time. French regulators have increasingly scrutinised major tech firms as part of wider efforts to curb unfair market dominance.

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Spot the red flags of AI-enabled scams, says California DFPI

The California Department of Financial Protection & Innovation (DFPI) has warned that criminals are weaponising AI to scam consumers. Deepfakes, cloned voices, and slick messages mimic trusted people and exploit urgency. Learning the new warning signs cuts risk quickly.

Imposter deepfakes and romance ruses often begin with perfect profiles or familiar voices pushing you to pay or invest. Grandparent scams use cloned audio in fake emergencies; agree a family passphrase and verify on a separate channel. Influencers may flaunt fabricated credentials and followers.

Automated attacks now use AI to sidestep basic defences and steal passwords or card details. Reduce exposure with two-factor authentication, regular updates, and a reputable password manager. Pause before clicking unexpected links or attachments, even from known names.

Investment frauds increasingly tout vague ‘AI-powered’ returns while simulating growth and testimonials, then blocking withdrawals. Beware guarantees of no risk, artificial deadlines, unsolicited messages, and recruit-to-earn offers. Research independently and verify registrations before sending money.

DFPI advises careful verification before acting. Confirm identities through trusted channels, refuse to move money under pressure, and secure devices. Report suspicious activity promptly; smart habits remain the best defence.

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Emergency cardiology gets a lift from AI-read ECGs, with fewer false activations

AI ECG analysis improved heart attack detection and reduced false alarms in a multicentre study of 1,032 suspected STEMI cases. Conducted across three primary PCI centres from January 2020 to May 2024, it points to quicker, more accurate triage, especially beyond specialist hospitals.

ST-segment elevation myocardial infarction occurs when a major coronary artery is blocked. Guideline targets call for reperfusion within 90 minutes of first medical contact. Longer delays are associated with roughly a 3-fold increase in mortality, underscoring the need for rapid, reliable activation.

The AI ECG model, trained to detect acute coronary occlusion and STEMI equivalents, analysed each patient’s initial tracing. Confirmatory angiography and biomarkers identified 601 true STEMIs and 431 false positives. AI detected 553 of 601 STEMIs, versus 427 identified by standard triage on the first ECG.

False positives fell sharply with AI. Investigators reported a 7.9 percent false-positive rate with the model, compared with 41.8 percent under standard protocols. Clinicians said earlier that more precise identification could streamline transfers from non-PCI centres and help teams reach reperfusion targets.

An editorial welcomed the gains but urged caution. The model targets acute occlusion rather than STEMI, needs prospective validation in diverse populations, and must be integrated with clear governance and human oversight.

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Ontario updates deidentification guidelines for safer data use

Ontario’s privacy watchdog has released an expanded set of deidentification guidelines to help organisations protect personal data while enabling innovation. The 100-page document from the Office of the Information and Privacy Commissioner (IPC) offers step-by-step advice, checklists and examples.

The update modernises the 2016 version to reflect global regulatory changes and new data protection practices. She emphasised that the guidelines aim to help organisations of all sizes responsibly anonymise data while maintaining its usefulness for research, AI development and public benefit.

Developed through broad stakeholder consultation, the guidelines were refined with input from privacy experts and the Canadian Anonymization Network. The new version responds to industry requests for more detailed, operational guidance.

Although the guidelines are not legally binding, experts said following them can reduce liability risks and strengthen compliance with privacy laws. The IPC hopes they will serve as a practical reference for executives and data officers.

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Labels press platforms to curb AI slop and protect artists

Luke Temple woke to messages about a new Here We Go Magic track he never made. An AI-generated song appeared on the band’s Spotify, Tidal, and YouTube pages, triggering fresh worries about impersonation as cheap tools flood platforms.

Platforms say defences are improving. Spotify confirmed the removal of the fake track and highlighted new safeguards against impersonation, plus a tool to flag mismatched releases pre-launch. Tidal said it removed the song and is upgrading AI detection. YouTube did not comment.

Industry teams describe a cat-and-mouse race. Bad actors exploit third-party distributors with light verification, slipping AI pastiches into official pages. Tools like Suno and Udio enable rapid cloning, encouraging volume spam that targets dormant and lesser-known acts.

Per-track revenue losses are tiny, reputational damage is not. Artists warn that identity theft and fan confusion erode trust, especially when fakes sit beside legitimate catalogues or mimic deceased performers. Labels caution that volume is outpacing takedowns across major services.

Proposed fixes include stricter distributor onboarding, verified artist controls, watermark detection, and clear AI labels for listeners. Rights holders want faster escalation and penalties for repeat offenders. Musicians monitor profiles and report issues, yet argue platforms must shoulder the heavier lift.

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UNESCO surveys women on AI fairness and safety

UNESCO’s Office for the Caribbean has launched a regional survey examining gender and AI, titled Perception of AI Fairness and Online Safety among Women and Girls in the Caribbean. The initiative addresses the lack of data on how women and girls experience technology, AI, and online violence in the region.

Results will guide policy recommendations to promote human rights and safer digital environments.

The 2025 survey is part of a broader UNESCO effort to understand AI’s impact on gender equality. It covers gender-based online violence, generative AI’s implications for privacy, and potential biases in large AI models.

The findings will be used to develop a regional policy brief compared with global data.

UNESCO encourages participation from women and girls across the Caribbean, highlighting that community input is vital for shaping effective AI policies. A one-day workshop on 10 December 2025 will equip young women with skills to navigate AI safely.

The initiative aims to position the Caribbean as a leader in ensuring AI respects dignity, equality, and human rights.

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Rare but real, mental health risks at ChatGPT scale

OpenAI says a small share of ChatGPT users show possible signs of mental health emergencies each week, including mania, psychosis, or suicidal thoughts. The company estimates 0.07 percent and says safety prompts are triggered. Critics argue that small percentages scale at ChatGPT’s size.

A further 0.15 percent of weekly users discuss explicit indicators of potential suicidal planning or intent. Updates aim to respond more safely and empathetically, and to flag indirect self-harm signals. Sensitive chats can be routed to safer models in a new window.

More than 170 clinicians across 60 countries advise OpenAI on risk cues and responses. Guidance focuses on encouraging users to seek real-world support. Researchers warn vulnerable people may struggle to act on on-screen warnings.

External specialists see both value and limits. AI may widen access when services are stretched, yet automated advice can mislead. Risks include reinforcing delusions and misplaced trust in authoritative-sounding output.

Legal and public scrutiny is rising after high-profile cases linked to chatbot interactions. Families and campaigners want more transparent accountability and stronger guardrails. Regulators continue to debate transparency, escalation pathways, and duty of care.

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