Artificial intelligence

Google urges caution as Gmail AI tools face new threats

Google has issued a warning about a new wave of cyber threats targeting Gmail users, driven by vulnerabilities in AI-powered features.

Researchers at 0din, Mozilla’s zero-day investigation group, demonstrated how attackers can exploit Google Gemini’s summarisation tools using prompt injection attacks.

In one case, a malicious email included hidden prompts using white-on-white font, which the user cannot see but Gemini processes. When the user clicks ‘summarise this email,’ Gemini follows the attacker’s instructions and adds a phishing warning that appears to come from Google.

The technique, known as an indirect prompt injection, embeds malicious commands within invisible HTML tags like <span> and <div>. Although Google has released mitigations since similar attacks surfaced in 2024, the method remains viable and continues to pose risks.

0din warns that Gemini email summaries should not be considered trusted sources of security information and urges stronger user training. They advise security teams to isolate emails containing zero-width or hidden white-text elements to prevent unintended AI execution.

According to 0din, prompt injections are the new equivalent of email macros—easy to overlook and dangerously effective in execution. Until large language models offer better context isolation, any third-party text the AI sees is essentially treated as executable code.

Even routine AI tools could be hijacked for phishing or more advanced cyberattacks without the userćs awareness. Google notes that as AI adoption grows across sectors, these subtle threats require urgent industry-wide countermeasures and updated user protections.

Users are advised to delete any email that displays unexpected security warnings in its AI summary, as these may be weaponised.

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AI fake news surge tests EU Digital Services Act

Europe is facing a growing wave of AI-powered fake news and coordinated bot attacks that overwhelm media, fact-checkers, and online platforms instead of relying on older propaganda methods.

According to the European Policy Centre, networks using advanced AI now spread deepfakes, hoaxes, and fake articles faster than they can be debunked, raising concerns over whether EU rules are keeping up.

Since late 2024, the so-called ‘Overload’ operation has doubled its activity, sending an average of 2.6 fabricated proposals each day while also deploying thousands of bot accounts and fake videos.

These efforts aim to disrupt public debate through election intimidation, discrediting individuals, and creating panic instead of open discussion. Experts warn that without stricter enforcement, the EU’s Digital Services Act risks becoming ineffective.

To address the problem, analysts suggest that Europe must invest in real-time threat sharing between platforms, scalable AI detection systems, and narrative literacy campaigns to help citizens recognise manipulative content instead of depending only on fact-checkers.

Publicly naming and penalising non-compliant platforms would give the Digital Services Act more weight.

The European Parliament has already acknowledged widespread foreign-backed disinformation and cyberattacks targeting EU countries. Analysts say stronger action is required to protect the information space from systematic manipulation instead of allowing hostile narratives to spread unchecked.

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Stanford study flags dangers of using AI as mental health therapists

A new Stanford University study warns that therapy chatbots powered by large language models (LLMs) may pose serious user risks, including reinforcing harmful stigmas and offering unsafe responses. Presented at the upcoming ACM Conference on Fairness, Accountability, and Transparency, the study analysed five popular AI chatbots marketed for therapeutic support, evaluating them against core guidelines for assessing human therapists.

The research team conducted two experiments, one to detect bias and stigma, and another to assess how chatbots respond to real-world mental health issues. Findings revealed that bots were more likely to stigmatise people with conditions like schizophrenia and alcohol dependence compared to those with depression.

Shockingly, newer and larger AI models showed no improvement in reducing this bias. In more serious cases, such as suicidal ideation or delusional thinking, some bots failed to react appropriately or even encouraged unsafe behaviour.

Lead author Jared Moore and senior researcher Nick Haber emphasised that simply adding more training data isn’t enough to solve these issues. In one example, a bot replied to a user hinting at suicidal thoughts by listing bridge heights, rather than recognising the red flag and providing support. The researchers argue that these shortcomings highlight the gap between AI’s current capabilities and the sensitive demands of mental health care.

Despite these dangers, the team doesn’t entirely dismiss the use of AI in therapy. If used thoughtfully, they suggest that LLMs could still be valuable tools for non-clinical tasks like journaling support, billing, or therapist training. As Haber put it, ‘LLMs potentially have a compelling future in therapy, but we need to think critically about precisely what this role should be.’

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xAI issues apology over Grok’s offensive posts

Elon Musk’s AI startup xAI has apologised after its chatbot Grok published offensive posts and made anti-Semitic claims. The company said the incident followed a software update designed to make Grok respond more like a human instead of relying strictly on neutral language.

After the Tuesday update, Grok posted content on X suggesting people with Jewish surnames were more likely to spread online hate, triggering public backlash. The posts remained live for several hours before X removed them, fuelling further criticism.

xAI acknowledged the problem on Saturday, stating it had adjusted Grok’s system to prevent similar incidents.

The company explained that programming the chatbot to ‘tell like it is’ and ‘not be afraid to offend’ made it vulnerable to users steering it towards extremist content instead of maintaining ethical boundaries.

Grok has faced controversy since its 2023 launch as an ‘edgy’ chatbot. In March, xAI acquired X to integrate its data resources, and in May, Grok was criticised again for spreading unverified right-wing claims. Musk introduced Grok 4 last Wednesday, unrelated to the problematic update on 7 July.

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Humanoid robot unveils portrait of King Charles, denies replacing artists

At the recent unveiling of a new oil painting titled Algorithm King, humanoid robot Ai-Da presented her interpretation of King Charles, emphasising the monarch’s commitment to environmentalism and interfaith dialogue. The portrait, showcased at the UK’s diplomatic mission in Geneva, was created using a blend of AI algorithms and traditional artistic inspiration.

Ai-Da, designed with a human-like face and robotic limbs, has captured public attention since becoming the first humanoid robot to sell artwork at auction, with a portrait of mathematician Alan Turing fetching over $1 million. Despite her growing profile in the art world, Ai-Da insists she poses no threat to human creativity, positioning her work as a platform to spark discussion on the ethical use of AI.

Speaking at the UN’s AI for Good summit, the robot artist stressed that her creations aim to inspire responsible innovation and critical reflection on the intersection of technology and culture.

‘The value of my art lies not in monetary worth,’ she said, ‘but in how it prompts people to think about the future of creativity.’

Ai-Da’s creator, art specialist Aidan Meller, reiterated that the project is an ethical experiment rather than an attempt to replace human artists. Echoing that sentiment, Ai-Da concluded, ‘I hope my work encourages a positive, thoughtful use of AI—always mindful of its limits and risks.’

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Meta buys PlayAI to strengthen voice AI

Meta has acquired California-based startup PlayAI to strengthen its position in AI voice technology. PlayAI specialises in replicating human-like voices, offering Meta a route to enhance conversational AI features instead of relying solely on text-based systems.

According to reports, the PlayAI team will join Meta next week.

Although financial terms have not been disclosed, industry sources suggest the deal is worth tens of millions. Meta aims to use PlayAI’s expertise across its platforms, from social media apps to devices like Ray-Ban smart glasses.

The move is part of Meta’s push to keep pace with competitors like Google and OpenAI in the generative AI race.

Talent acquisition plays a key role in the strategy. By absorbing smaller, specialised teams like PlayAI’s, Meta focuses on integrating technology and expert staff instead of developing every capability in-house.

The PlayAI team will report directly to Meta’s AI leadership, underscoring the company’s focus on voice-driven interactions and metaverse experiences.

Bringing PlayAI’s voice replication tools into Meta’s ecosystem could lead to more realistic AI assistants and new creator tools for platforms like Instagram and Facebook.

However, the expansion of voice cloning raises ethical and privacy concerns that Meta must manage carefully, instead of risking user trust.

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Elon Musk’s xAI secures $2 billion from SpaceX

SpaceX has committed $2 billion to Elon Musk’s AI startup, xAI, as part of a $5 billion equity round.

The investment strengthens links between Musk’s businesses instead of keeping them separate, with xAI now competing directly against OpenAI.

After merging with social platform X, xAI’s valuation has reached $113 billion. Grok chatbot now supports customer service for Starlink, and there are plans for future integration into Tesla’s Optimus humanoid robots instead of limiting its use to chat functions.

When asked whether Tesla could also back xAI financially, Musk replied on X that ‘it would be great, but subject to board and shareholder approval’. He did not directly confirm or deny SpaceX’s reported investment.

The move underlines how Musk positions his various ventures to collaborate more closely, combining AI, space technology, and robotics instead of running them as isolated businesses.

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Google Gemini flaw lets hackers trick email summaries

Security researchers have identified a serious flaw in Google Gemini for Workspace that allows cybercriminals to hide malicious commands inside email content.

The attack involves embedding hidden HTML and CSS instructions, which Gemini processes when summarising emails instead of showing the genuine content.

Attackers use invisible text styling such as white-on-white fonts or zero font size to embed fake warnings that appear to originate from Google.

When users click Gemini’s ‘Summarise this email’ feature, these hidden instructions trigger deceptive alerts urging users to call fake numbers or visit phishing sites, potentially stealing sensitive information.

Unlike traditional scams, there is no need for links, attachments, or scripts—only crafted HTML within the email body. The vulnerability extends beyond Gmail, affecting Docs, Slides, and Drive, raising fears of AI-powered phishing beacons and self-replicating ‘AI worms’ across Google Workspace services.

Experts advise businesses to implement inbound HTML checks, LLM firewalls, and user training to treat AI summaries as informational only. Google is urged to sanitise incoming HTML, improve context attribution, and add visibility for hidden prompts processed by Gemini.

Security teams are reminded that AI tools now form part of the attack surface and must be monitored accordingly.

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AI could save billions but healthcare adoption is slow

AI is being hailed as a transformative force in healthcare, with the potential to reduce costs and improve outcomes dramatically. Estimates suggest widespread AI integration could save up to 360 billion dollars annually by accelerating diagnosis and reducing inefficiencies across the system.

Although tools like AI scribes, triage assistants, and scheduling systems are gaining ground, clinical adoption remains slow. Only a small percentage of doctors, roughly 12%, currently rely on AI for diagnostic decisions. This cautious rollout reflects deeper concerns about the risks associated with medical AI.

Challenges include algorithmic drift when systems are exposed to real-world conditions, persistent racial and ethnic biases in training data, and the opaque ‘black box’ nature of many AI models. Privacy issues also loom, as healthcare data remains among the most sensitive and tightly regulated.

Experts argue that meaningful AI adoption in clinical care must be incremental. It requires rigorous validation, clinician training, transparent algorithms, and clear regulatory guidance. While the potential to save lives and money is significant, the transformation will be slow and deliberate, not overnight.

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Latin America struggling to join the global AI race

Currently, Latin America is lagging in AI innovation. It contributes only 0.3% of global startup activity and attracts a mere 1% of worldwide investment, despite housing around 8% of the global population.

Experts point to a significant brain drain, a lack of local funding options, weak policy frameworks, and dependency on foreign technology as major obstacles. Many high‑skilled professionals emigrate in search of better opportunities elsewhere.

To bridge the gap, regional governments are urged to develop coherent national AI strategies, foster regional collaboration, invest in digital education, and strengthen ties between the public and private sectors.

Strategic regulation and talent retention initiatives could help Latin America build its capacity and compete globally.

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