Social media platform X will suspend creators from its revenue-sharing programme if they post AI-generated videos of armed conflict without proper disclosure. The penalty lasts 90 days, with permanent removal for repeat violations.
Head of product Nikita Bier said access to authentic information during war is critical, warning that generative AI makes it easy to mislead audiences. The policy takes effect immediately.
Enforcement will combine generative AI detection tools with the platform’s Community Notes fact-checking system. X, formerly Twitter, says the move is designed to prevent creators from profiting from deceptive conflict content.
The Creator Revenue Sharing Programme allows paid X subscribers to earn advertising income from high-performing posts, but critics argue it encourages sensational material. AI-generated political misinformation and deceptive influencer promotions outside armed conflict scenarios remain unaffected by the new rule.
Financial penalties may limit incentives for the dissemination of misleading war footage, yet broader concerns about AI-driven misinformation on social media persist.
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Google is accelerating Chrome’s release cycle rather than maintaining its long-standing four-week cadence.
From September, users on desktop and mobile platforms will receive new stable versions every two weeks, doubling the frequency of feature milestones across speed, stability and usability. Weekly security updates introduced in 2023 remain unchanged.
The faster pace comes as AI-driven browsers seek a foothold in a market long dominated by Chrome.
Products, such as ChatGPT Atlas and Perplexity’s Comet, embed agentic assistants directly into the browsing experience, automating tasks from summarising pages to scheduling meetings.
Chrome has responded with deeper Gemini integration, including the rollout of autonomous features across its interface.
Google maintains that the accelerated schedule reflects the needs of the evolving web platform, arguing that developers require quicker access to updated tools.
Yet the timing aligns with growing competitive pressure from AI-native browsers, prompting speculation that Chrome’s dominance can no longer be taken for granted.
The shift will begin with Chrome version 153 in beta and stable channels on 8 September 2026. Enterprise administrators and Chromebook users will continue to rely on the eight-week Extended Stable branch, which remains unchanged for organisations that need slower, controlled deployments.
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In recent days, social media has been alight with discussions about the 2014 series whose portrayal of AI and ethical dilemmas now feels remarkably prophetic: Silicon Valley. Fans and professionals alike are highlighting how the show’s depiction of AI, automated agents, and ethical dilemmas mirrors today’s real-world challenges.
From algorithmic decision-making to AI shaping social and economic interactions, the series explores the boundaries, responsibilities, and societal impact of AI in ways that feel startlingly relevant. What once seemed like pure comedy is increasingly being seen as a warning, highlighting how the choices we make around AI and its ethical frameworks will shape whether the technology benefits society.
While the show dramatises these dilemmas for entertainment, the real world is now facing the same questions. Recent trends in generative AI, autonomous agents, and large-scale automated decision-making are bringing their predictions to life, raising urgent ethical questions for developers, policymakers, and society alike.
Source: Freepik
The rise of AI ethics: from niche concern to central requirement
The growing influence of AI on society has propelled ethics from a theoretical discussion to a central factor in technological decision-making. Initially confined to academic debate, ethics in AI is now a guiding force in technological development. The impact of AI is becoming tangible across society, from employment and finance to online content.
Technical performance alone no longer defines success; the consequences of design choices have become morally and socially significant. Governments, international organisations, and corporations are responding by developing ethical frameworks.
The EU AI Act, the OECD AI Principles, and numerous corporate codes of conduct signal that society expects AI systems to align with human values, demonstrating accountability, fairness, and trustworthiness. Ethical reflection has become a prerequisite for technological legitimacy and societal acceptance.
Source: Freepik
Functions of AI ethics: trust, guidance, and societal risk
Ethical frameworks for AI fulfil multiple roles, balancing moral guidance with practical necessity. They build public trust between developers, organisations, and users, reassuring society that AI systems operate consistently with shared values.
For developers, ethical principles offer a blueprint for decision-making, helping anticipate societal impact and minimise unintended harm. Beyond guidance, AI ethics acts as a form of societal risk governance, allowing organisations to identify potential consequences before they manifest.
By integrating ethics into design, AI systems become socially sustainable technologies, bridging technical capability with moral responsibility. The approach like this is particularly critical in high-stakes domains such as healthcare, finance, and law, where algorithmic decisions can significantly affect human well-being.
Source: Freepik
The politics of AI ethics: regulatory theatre and corporate influence
Despite widespread adoption, AI ethics frameworks sometimes risk becoming regulatory theatre, where public statements signal commitment but fail to ensure meaningful action. Many organisations promote ethical AI principles, yet consistent enforcement and follow-through often lag behind these claims.
Even with their limitations, ethical frameworks are far from meaningless. They shape public discourse, influence policy, and determine which AI systems gain social legitimacy. The challenge lies in balancing credibility with practical impact, ensuring that ethical commitments are more than symbolic gestures.
Social media platforms like X amplify this tension, with public scrutiny and viral debates exposing both successes and failures in applying ethical principles.
Source: Freepik
AI ethics as a lens for technology and society
The prominence of AI ethics reflects a broader societal transformation in evaluating technology. Modern societies no longer judge AI solely by efficiency, speed, or performance; they assess social consequences, fairness, and the distribution of risks and benefits.
AI is increasingly seen as a social actor rather than a neutral tool, influencing public behaviour, shaping social norms, and redefining concepts such as trust, autonomy, and accountability. Ethical evaluation of AI is not just a philosophical exercise, but demonstrate evolving expectations about the role technology should play in human life.
Source: Freepik
AI ethics as early-warning governance for social impact
AI ethics functions as a critical early-warning system for society. Ethical principles anticipate harms that might otherwise go unnoticed, from systemic bias to privacy violations. By highlighting potential consequences, ethics enables organisations to act proactively, reducing the likelihood of crises and improving public trust.
Moreover, ethics ensures that long-term impacts, including societal cohesion, equity, and fairness, are considered alongside immediate technical performance. In doing so, AI ethics bridges the gap between what AI can do and what society deems acceptable, ensuring that innovation remains aligned with moral and social norms.
Source: Freepik
The bridge between technological power and social legitimacy
AI ethics remains the essential bridge between technological power and social legitimacy. Embedding ethical reflection into AI development ensures that innovation is not only technically effective but also socially sustainable, trustworthy, and accountable.
Yet a growing tension defines the next phase of this evolution: the accelerating pace of innovation often outstrips the slower processes of ethical deliberation and regulation, raising questions about who sets the norms and how quickly societies can adapt.
Rather than acting solely as a safeguard, ethics is increasingly becoming a strategic dimension of technological leadership, shaping public trust, market adoption, and even geopolitical influence in the global race for AI. The rise of AI ethics, therefore, signals more than a moral awakening, reflecting a structural shift in how technological progress is evaluated and legitimised.
As AI continues to integrate into everyday life, ethical frameworks will determine not only how systems function, but also whether they are accepted as part of the social fabric. Aligning innovation with societal values is no longer optional but the condition under which AI can sustain legitimacy, unlock its full potential, and remain a transformative force that benefits society as a whole.
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The civil liberties committee failed to secure majority backing for its amended report on extending the EU’s temporary chat-scanning rules instead of giving a clear negotiating position.
Members of Parliament reviewed the amendments on Monday, but the final text did not garner sufficient support, leaving the proposal without endorsement as the adoption deadline approaches.
A proposal to extend the current derogation that allows tech companies to voluntarily scan their services for Child Sexual Abuse Material (CSAM).
The existing regime expires in April 2026 and was intended only as a stopgap while a permanent Child Sexual Abuse Regulation was developed. Years of stalled negotiations have led to the temporary rules being extended twice since 2021.
Council has already approved its position without changes to the Commission proposal, creating a tight timeline for Parliament.
With trilogue talks finally underway, institutions would need to conclude discussions unusually quickly to prevent the legal basis from expiring. If no agreement is reached by April, companies would lose their ability to scan services under the EU law.
The committee confirmed that the file will now move to plenary in the week of 9–12 March, where political groups may table new amendments. An outcome that will determine whether the temporary regime remains in place while negotiations on the permanent system continue.
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Microsoft has temporarily locked its official Copilot Discord server after a surge of spam linked to criticism of its AI strategy. The disruption followed widespread use of the nickname ‘Microslop’, a term mocking the company’s AI push.
The backlash intensified after chief executive Satya Nadella urged the industry to embrace AI in a December 2025 blog post. Users began flooding the Copilot Discord server with variations of the term, bypassing Microsoft’s word filters.
Microsoft initially blocked the word before restricting channels and eventually taking the entire server offline. In a statement, the company said the move was intended to protect users from harmful spam.
The controversy reflects broader resistance to AI integration across Windows 11 and Microsoft software. Microsoft has not confirmed when the Copilot Discord server will return online.
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Hundreds of academics urged governments to halt plans for mandatory age checks on social media, rather than accelerating deployment without assessing the risks.
Researchers argue that current systems expose people to privacy breaches, security vulnerabilities and malicious sites that ignore verification rules instead of offering meaningful protection.
They say scientific consensus has not yet formed on the benefits or harms of age-assurance technologies, making large-scale implementation premature and potentially discriminatory.
The letter stresses that any credible system would require cryptographic safeguards for every query, protecting data in transit rather than leaving identity checks to platforms without robust technical guarantees.
Academics believe such infrastructure would be complex to build globally and would create friction that many providers may refuse to adopt.
Concern escalated after early deployments in Italy and France, where verification is already mandatory.
Signatories, including Ronald Rivest and Bart Preneel, warn that governments risk introducing a socially unacceptable system that increases exposure to data misuse instead of ensuring children’s safety online.
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A new expression has entered the AI vocabulary, with ‘claws’ becoming the latest term to capture the industry’s imagination.
The term refers to a growing family of open-source personal assistants designed to run locally on consumer hardware, often on Apple’s compact Mac mini rather than on cloud-based servers.
These assistants can access calendars, email accounts, coding tools, browsers and external model APIs, enabling them to carry out complex digital tasks autonomously.
Interest increased after AI researcher Andrej Karpathy described his experiments with claws, prompting broader attention across online communities.
Many users have begun adopting the tools as lightweight agentic systems capable of handling real work, from scheduling meetings to writing software overnight by linking to models from providers such as OpenAI.
The name originated with Clawdbot, which was recently rebranded as OpenClaw and became a prominent example in Silicon Valley.
A wave of variants, including NanoClaw, ZeroClaw and IronClaw, has followed, marking a surge in locally run assistants that appeal to users seeking greater autonomy, privacy and experimentation.
Whether these systems become mainstream or remain a niche developer trend, they show how quickly the AI landscape can evolve and how new concepts often spread long before they fully mature.
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AI-generated search summaries are reshaping online discovery and pushing Reddit to the forefront of global information flows.
The rise of Google’s AI Overview feature places curated AI summaries above traditional search results, encouraging users to rely on machine-generated syntheses instead of browsing lists of websites.
Reddit’s visibility surged after the platform agreed to data access partnerships with Google and OpenAI, enabling large language models to train on its vast archive of human conversations.
The platform’s user-generated discussions are increasingly prioritised because they provide commentary viewed as more neutral and less commercially influenced.
Research from Profound identifies Reddit as the most cited source across major AI platforms. Reddit’s rapid expansion reflects such a shift.
It has overtaken TikTok in the UK, according to Ofcom and now reports 116 million daily active users and more than one billion monthly users.
Communities built around niche interests, combined with voting systems and karma-driven credibility, create a structure that appeals to AI systems searching for grounded, human-authored content.
The platform’s design, centred on subreddits run by volunteer moderators, reinforces trust signals that large models can evaluate when generating AI Overview results.
As AI-powered search becomes the dominant interface for navigating the internet, Reddit’s role as a primary corpus for training and citation continues to expand, reshaping how people discover and verify information.
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eSafety Commissioner has launched a major evaluation of Australia’s Social Media Minimum Age to understand how platforms are applying the requirement and what effects it is having on children, young people and families.
The study aims to deliver robust evidence about both intended and unintended impacts as the national debate on youth, wellbeing and digital environments intensifies.
Over more than two years, the research will follow more than four thousand children and families in Australia, combining surveys, interviews, group discussions and privacy-protected smartphone tracking.
Administrative data from national literacy assessments and health systems will be linked to deepen understanding of online behaviour, wellbeing and exposure to risk. All research materials are publicly available through the Open Science Framework to maintain transparency.
The project is led by eSafety’s Research and Evaluation team in partnership with the Stanford University Social Media Lab and an Academic Advisory Group of specialists in mental health, youth development and digital technologies.
Young people themselves are shaping the study through the eSafety Youth Council, ensuring that the interpretation reflects lived experience rather than external assumptions. Full ethics approval underpins the methodology, which meets strict standards of integrity and privacy.
The results will inform a legislative review conducted by Australia’s Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts.
eSafety expects the evaluation to become a major evidence source for policymakers, researchers and communities as the global conversation on minors and social media regulation continues.
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Investigators in the US say that AI used by Meta is flooding child protection units with large volumes of unhelpful reports, thereby draining resources rather than assisting ongoing cases.
Officers in the Internet Crimes Against Children network told a New Mexico court that most alerts generated by the company’s platforms lack essential evidence or contain material that is not criminal, leaving teams unable to progress investigations.
Meta rejects the claim that it prioritises profit, stressing its cooperation with law enforcement and highlighting rapid response times to emergency requests.
Its position is challenged by officers who say the volume of AI-generated alerts has doubled since 2024, particularly after the Report Act broadened reporting obligations.
They argue that adolescent conversations and incomplete data now form a sizeable portion of the alerts, while genuine cases of child sexual abuse material are becoming harder to detect.
Internal company documents disclosed at trial show Meta executives raising concerns as early as 2019 about the impact of end-to-end encryption on the firm’s ability to identify child exploitation and support investigators.
Child safety groups have long warned that encryption could limit early detection, even though Meta says it has introduced new tools designed to operate safely within encrypted environments.
The growing influx of unusable tips is taking a heavy toll on investigative teams. Officers in the US say each report must still be reviewed manually, despite the low likelihood of actionable evidence, and this backlog is diminishing morale at a time when they say resources have not kept pace with demand.
They warn that meaningful cases risk being delayed as units struggle with a workload swollen by AI systems tuned to avoid regulatory penalties rather than investigative value.
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