UN advances human rights-focused economic metrics

The UN is developing new economic indicators to complement gross domestic product (GDP) as a measure of progress. A 14-member expert group, appointed by the UN Secretary-General, is creating metrics that reflect social well-being, equality, and environmental sustainability.

Their proposals, to be presented to the UN General Assembly in 2026, could reshape how governments assess success and guide future economic policies.

UN agencies, in collaboration with Chile, Honduras, Mexico, and Spain, are working to embed human rights into these new metrics. The initiative focuses on areas such as economic inequality, public social spending, environmental impact, gender equality, and labour rights, aiming to shift economic systems toward fairness, participation, and care for the planet.

Deputy High Commissioner for Human Rights, Nada Al-Nashif, emphasised that these efforts are about rethinking economic systems to ensure they measure what truly matters for people and the environment.

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Kenya leads the way in AI skilling across Africa

Kenya’s AI Skilling Initiative (AINSI) is offering valuable insights for African countries aiming to build digital capabilities. With AI projected to create 230 million digital jobs across Africa by 2030, coordinated investment in skills development is vital to unlock this potential.

Despite growing ambition, fragmented efforts and uneven progress continue to limit impact.

Government leadership plays a central role in building national AI capacity. Kenya’s Regional Centre of Competence for Digital and AI Skilling has trained thousands of public servants through structured bootcamps and online programmes.

Standardising credentials and aligning training with industry needs are crucial to ensure skilling efforts translate into meaningful employment.

Industry and the informal economy are key to scaling transformation. Partnerships with KEPSA and MESH are training entrepreneurs and SMEs in AI and cybersecurity while tackling affordability, connectivity, and data access challenges.

Education initiatives, from K–12 to universities and technical institutions, are embedding AI training into curricula to prepare future generations.

Civil society collaboration further broadens access, with community-based programmes reaching gig workers and underserved groups. Kenya’s approach shows how inclusive, cross-sector frameworks can scale digital skills and support Africa’s AI-driven growth.

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Dutch watchdog warns AI chatbots threaten election integrity

The Dutch data authority warns AI chatbots are biased and unreliable for voting advice ahead of national elections. An AP investigation found chatbots often steered users to the same two parties, ignoring their actual preferences.

In over half of the tests, the bots suggested either Geert Wilders’ far-right Freedom Party (PVV) or the leftwing GroenLinks-PvdA led by Frans Timmermans. Other parties, such as the centre-right CDA, were rarely mentioned even when users’ answers closely matched their platforms.

AP deputy head Monique Verdier said that voters were being steered towards parties that did not necessarily reflect their political views, warning that this undermines the integrity of free and fair elections.

The report comes ahead of the 29 October election, where the PVV currently leads the polls. However, the race remains tight, with GroenLinks-PvdA and CDA still in contention and many voters undecided.

Although the AP noted that the bias was not intentional, it attributed the problem to the way AI chatbots function, highlighting the risks of relying on opaque systems for democratic decisions.

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Maserati’s new campaign pits human emotion against machine precision

Luxury automobile manufacturer Maserati has launched a new campaign titled ‘Do AIs Dream of Driving?’, created in collaboration with creative agency DUDE and production studio Studio FM.

The 60-second film imagines an advanced AI named ‘Leonardo’ that knows every specification and blueprint of Maserati’s own Nettuno engine, yet, despite this knowledge, cannot experience the emotion, thrill and sensory feel of driving.

The film opens in a futuristic environment where Leonardo narrates the engine’s performance, its 630 hp output, its combustion architecture and Italian engineering heritage. Yet, alongside sleek imagery of Maseratis in motion, Leonardo glitches subtly, illustrating the distinction between technical perfection and human experience.

From a creative standpoint, the campaign intentionally integrates AI in the production process, not as a cost-cutting measure, but as a storytelling device. The protagonist was cast in the traditional human way; his digital twin was generated via AI.

The setting and styling drew from AI-assisted visual research but retained human oversight. Studio FM asserts all stages from casting to post-production adhered to an ethical protocol to protect rights and ensure transparency.

The campaign will run globally across Maserati’s social media channels (Instagram, Facebook, YouTube) and highlights a new phase in how automotive brands use generative AI, not just to showcase specs, but to evoke emotion and identity.

Creative Director Chiara Monticelli (DUDE Milan) noted that the project represented ‘an important step forward … where AI supports and enhances human creativity without replacing it.’

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Is the world ready for AI to rule justice?

AI is creeping into almost every corner of our lives, and it seems the justice system’s turn has finally come. As technology reshapes the way we work, communicate, and make decisions, its potential to transform legal processes is becoming increasingly difficult to ignore. The justice system, however, is one of the most ethically sensitive and morally demanding fields in existence. 

For AI to play a meaningful role in it, it must go beyond algorithms and data. It needs to understand the principles of fairness, context, and morality that guide every legal judgement. And perhaps more challengingly, it must do so within a system that has long been deeply traditional and conservative, one that values precedent and human reasoning above all else. Jet, from courts to prosecutors to lawyers, AI promises speed, efficiency, and smarter decision-making, but can it ever truly replace the human touch? 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI in courts: Smarter administration, not robot judges… yet

Courts across the world are drowning in paperwork, delays, and endless procedural tasks, challenges that are well within AI’s capacity to solve efficiently. From classifying cases and managing documentation to identifying urgent filings and analysing precedents, AI systems are beginning to serve as silent assistants within courtrooms. 

The German judiciary, for example, has already shown what this looks like in practice. AI tools such as OLGA and Frauke have helped categorise thousands of cases, extract key facts, and even draft standardised judgments in air passenger rights claims, cutting processing times by more than half. For a system long burdened by backlogs, such efficiency is revolutionary.

Still, the conversation goes far beyond convenience. Justice is not a production line; it is built on fairness, empathy, and the capacity to interpret human intent. Even the most advanced algorithm cannot grasp the nuance of remorse, the context of equality, or the moral complexity behind each ruling. The question is whether societies are ready to trust machine intelligence to participate in moral reasoning.

The final, almost utopian scenario would be a world where AI itself serves as a judge who is unbiased, tireless, and immune to human error or emotion. Yet even as this vision fascinates technologists, legal experts across Europe, including the EU Commission and the OECD, stress that such a future must remain purely theoretical. Human judges, they argue, must always stay at the heart of justice- AI may assist in the process, but it must never be the one to decide it. The idea is not to replace judges but to help them navigate the overwhelming sea of information that modern justice generates.

Courts may soon become smarter, but true justice still depends on something no algorithm can replicate: the human conscience. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for prosecutors: Investigating with superhuman efficiency

Prosecutors today are also sifting through thousands of documents, recordings, and messages for every major case. AI can act as a powerful investigative partner, highlighting connections, spotting anomalies, and bringing clarity to complex cases that would take humans weeks to unravel. 

Especially in criminal law, cases can involve terabytes of documents, evidence that humans can hardly process within tight legal deadlines or between hearings, yet must be reviewed thoroughly. AI tools can sift through this massive data, flag inconsistencies, detect hidden links between suspects, and reveal patterns that might otherwise remain buried. Subtle details that might escape the human eye can be detected by AI, making it an invaluable ally in uncovering the full picture of a case. By handling these tasks at superhuman speed, AI could also help accelerate the notoriously slow pace of legal proceedings, giving prosecutors more time to focus on strategy and courtroom preparation. 

More advanced systems are already being tested in Europe and the US, capable of generating detailed case summaries and predicting which evidence is most likely to hold up in court. Some experimental tools can even evaluate witness credibility based on linguistic cues and inconsistencies in testimony. In this sense, AI becomes a strategic partner, guiding prosecutors toward stronger, more coherent arguments. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for lawyers: Turning routine into opportunity

The adoption of AI and its capabilities might reach their maximum when it comes to the work of lawyers, where transforming information into insight and strategy is at the core of the profession. AI can take over repetitive tasks: reviewing contracts, drafting documents, or scanning case files, freeing lawyers to focus on the work that AI cannot replace, such as strategic thinking, creative problem-solving, and providing personalised client support. 

AI can be incredibly useful for analysing publicly available cases, helping lawyers see how similar situations have been handled, identify potential legal opportunities, and craft stronger, more informed arguments. By recognising patterns across multiple cases, it can suggest creative questions for witnesses and suspects, highlight gaps in the evidence, and even propose potential defence strategies. 

AI also transforms client communication. Chatbots and virtual assistants can manage routine queries, schedule meetings, and provide concise updates, giving lawyers more time to understand clients’ needs and build stronger relationships. By handling the mundane, AI allows lawyers to spend their energy on reasoning, negotiation, and advocacy.

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

Balancing promise with responsibility

AI is transforming the way courts, prosecutors, and lawyers operate, but its adoption is far from straightforward. While it can make work significantly easier, the technology also carries risks that legal professionals cannot ignore. Historical bias in data can shape AI outputs, potentially reinforcing unfair patterns if humans fail to oversee its use. Similarly, sensitive client information must be protected at all costs, making data privacy a non-negotiable responsibility. 

Training and education are therefore crucial. It is essential to understand not only what AI can do but also its limits- how to interpret suggestions, check for hidden biases, and decide when human judgement must prevail. Without this understanding, AI risks being a tool that misleads rather than empowers. 

The promise of AI lies in its ability to free humans from repetitive work, allowing professionals to focus on higher-value tasks. But its power is conditional: efficiency and insight mean little without the ethical compass of the human professionals guiding it.

Ultimately, the justice system is more than a process. It is about fairness, empathy, and moral reasoning. AI can assist, streamline, and illuminate, but the responsibility for decisions, for justice itself, remains squarely with humans. In the end, the true measure of AI’s success in law will be how it enhances human judgement, not how it replaces it.

So, is the world ready for AI to rule justice? The answer remains clear. While AI can transform how justice is delivered, the human mind, heart, and ethical responsibility must remain at the centre. AI may guide the way, but it cannot and should not hold the gavel.

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ChatGPT to exit WhatsApp after Meta policy change

OpenAI says ChatGPT will leave WhatsApp on 15 January 2026 after Meta’s new rules banning general-purpose AI chatbots on the platform. ChatGPT will remain available on iOS, Android, and the web, the company said.

Users are urged to link their WhatsApp number to a ChatGPT account to preserve history, as WhatsApp doesn’t support chat exports. OpenAI will also let users unlink their phone numbers after linking.

Until now, users could message ChatGPT on WhatsApp to ask questions, search the web, generate images, or talk to the assistant. Similar third-party bots offered comparable features.

Meta quietly updated WhatsApp’s business API to prohibit AI providers from accessing or using it, directly or indirectly. The change effectively forces ChatGPT, Perplexity, Luzia, Poke, and others to shut down their WhatsApp bots.

The move highlights platform risk for AI assistants and shifts demand toward native apps and web. Businesses relying on WhatsApp AI automations will need alternatives that comply with Meta’s policies.

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Innovation versus risk shapes Australia’s AI debate

Australia’s business leaders were urged to adopt AI now to stay competitive, despite the absence of hard rules, at the AI Leadership Summit in Brisbane. The National AI Centre unveiled revised voluntary guidelines, and Assistant Minister Andrew Charlton said a national AI plan will arrive later this year.

The guidance sets six priorities, from stress-testing and human oversight to clearer accountability, aiming to give boards practical guardrails. Speakers from NVIDIA, OpenAI, and legal and academic circles welcomed direction but pressed for certainty to unlock stalled investment.

Charlton said the plan will focus on economic opportunity, equitable access, and risk mitigation, noting some harms are already banned, including ‘nudify’ apps. He argued Australia will be poorer if it hesitates, and regulators must be ready to address new threats directly.

The debate centred on proportional regulation: too many rules could stifle innovation, said Clayton Utz partner Simon Newcomb, yet delays and ambiguity can also chill projects. A ‘gap analysis’ announced by Treasurer Jim Chalmers will map which risks existing laws already cover.

CyberCX’s Alastair MacGibbon warned that criminals are using AI to deliver sharper phishing attacks and flagged the return of erotic features in some chatbots as an oversight test. His message echoed across panels: move fast with governance, or risk ceding both competitiveness and safety.

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AI chats with ‘Jesus’ spark curiosity and criticism

Text With Jesus, an AI chatbot from Catloaf Software, lets users message figures like ‘Jesus’ and ‘Moses’ for scripture-quoting replies. CEO Stéphane Peter says curiosity is driving rapid growth despite accusations of blasphemy and worries about tech intruding on faith.

Built on OpenAI’s ChatGPT, the app now includes AI pastors and counsellors for questions on scripture, ethics, and everyday dilemmas. Peter, who describes himself as not particularly religious, says the aim is access and engagement, not replacing ministry or community.

Examples range from ‘Do not be anxious…’ (Philippians 4:6) to the Golden Rule (Matthew 7:12), with answers framed in familiar verse. Fans call it a safe, approachable way to explore belief; critics argue only scripture itself should speak.

Faith leaders and commentators have cautioned against mistaking AI outputs for wisdom. The Vatican has stressed that AI is a tool, not truth, and that young people need guidance, not substitution, in spiritual formation.

Reception is sharply split online. Supporters praise convenience and curiosity-spark; detractors cite theological drift, emoji-laden replies, and a ‘Satan’ mode they find chilling. The app holds a 4.7 rating on the Apple App Store from more than 2,700 reviews.

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AWS outage turned a mundane DNS slip into global chaos

Cloudflare’s boss summed up the mood after Monday’s chaos, relieved his firm wasn’t to blame as outages rippled across more than 1,000 companies. Snapchat, Reddit, Roblox, Fortnite, banks, and government portals faltered together, exposing how much of the web leans on Amazon Web Services.

AWS is the backbone for a vast slice of the internet, renting compute, storage, and databases so firms avoid running their own stacks. However, a mundane Domain Name System error in its Northern Virginia region scrambled routing, leaving services online yet unreachable as traffic lost its map.

Engineers call it a classic failure mode: ‘It’s always DNS.’ Misconfigurations, maintenance slips, or server faults can cascade quickly across shared platforms. AWS says teams moved to mitigate, but the episode showed how a small mistake at scale becomes a global headache in minutes.

Experts warned of concentration risk: when one hyperscaler stumbles, many fall. Yet few true alternatives exist at AWS’s scale beyond Microsoft Azure and Google Cloud, with smaller rivals from IBM to Alibaba, and fledgling European plays, far behind.

Calls for UKEU cloud sovereignty are growing, but timelines and costs are steep. Monday’s outage is a reminder that resilience needs multi-region and multi-cloud designs, tested failovers, and clear incident comms, not just faith in a single provider.

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AI still struggles to mimic natural human conversation

A recent study reveals that large language models such as ChatGPT-4, Claude, Vicuna, and Wayfarer still struggle to replicate natural human conversation. Researchers found AI over-imitates, misuses filler words, and struggles with natural openings and closings, revealing its artificial nature.

The research, led by Eric Mayor with contributions from Lucas Bietti and Adrian Bangerter, compared transcripts of human phone conversations with AI-generated ones. AI can speak correctly, but subtle social cues like timing, phrasing, and discourse markers remain hard to mimic.

Misplaced words such as ‘so’ or ‘well’ and awkward conversation transitions make AI dialogue recognisably non-human. Openings and endings also pose a challenge. Humans naturally engage in small talk or closing phrases such as ‘see you soon’ or ‘alright, then,’ which AI systems often fail to reproduce convincingly.

These gaps in social nuance, researchers argue, prevent large language models from consistently fooling people in conversation tests.

Despite rapid progress, experts caution that AI may never fully capture all elements of human interaction, such as empathy and social timing. Advances may narrow the gap, but key differences will likely remain, keeping AI speech subtly distinguishable from real human dialogue.

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