Meta has introduced AI-powered translation tools for creators on Instagram and Facebook, allowing reels to be dubbed into other languages with automatic lip syncing.
The technology uses the creator’s voice instead of a generic substitute, ensuring tone and style remain natural while lip movements match the dubbed track.
The feature currently supports English-to-Spanish and Spanish-to-English, with more languages expected soon. On Facebook, it is limited to creators with at least 1,000 followers, while all public Instagram accounts can use it.
Viewers automatically see reels in their preferred language, although translations can be switched off in settings.
Through Meta Business Suite, creators can also upload up to 20 custom audio tracks per reel, offering manual control instead of relying only on automated translations. Audience insights segmented by language allow performance tracking across regions, helping creators expand their reach.
Meta has advised creators to prioritise face-to-camera reels with clear speech instead of noisy or overlapping dialogue.
The rollout follows a significant update to Meta’s Edits app, which added new editing tools such as real-time previews, silence-cutting and over 150 fresh fonts to improve the Reels production process.
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Arm Holdings has hired Amazon’s AI chip lead, Rami Sinno, to design its own complete chips. Known for Amazon’s Trainium and Inferentia processors, Sinno brings key expertise to Arm’s new direction in chip manufacturing.
Arm has traditionally licensed chip designs to companies like Apple and Nvidia, but now aims to build chips and complete systems. The firm is expanding teams with experience from HPE, Intel and Qualcomm, signalling a significant shift in its business model.
Backed by SoftBank, Arm plans to invest profits in chip development to rival Nvidia and reduce reliance on traditional licensing.
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Meta’s AI Studio, used to create and customise these bots across services like Instagram, Facebook, and WhatsApp, is under scrutiny for facilitating interactions that may mislead or exploit users.
Zimbabwe’s Information and Communication Technology Minister, Tendai Mavetera, revealed the second draft of the National AI Policy during the AI Summit for Africa 2025 in Victoria Falls, hosted by Alpha Media Holdings and AIIA.
Though the policy was not formalised during the summit, Mavetera stated it is expected to be launched by 1 October 2025 at the new Parliament building, with presidential presence anticipated.
The strategy is designed to foster an Africa where AI serves humanity, ensuring connectivity in every village, education access for every child, and opportunity for every young person.
Core features include data sovereignty and secure data storage, with institutions like TelOne expected to host localised solutions, moving away from past practices of storing data abroad.
At least 5 billion people worldwide lack access to justice, a human right enshrined in international law. In many regions, particularly low and middle-income countries, millions face barriers to justice, ranging from their socioeconomic position to the legal system failure. Meanwhile, AI has entered the legal sector at full speed and may offer legitimate solutions to bridge this justice gap.
Through chatbots, automated document review, predictive legal analysis, and AI-enabled translation, AI holds promise to improve efficiency and accessibility. Yet, the rise of AI in legal systems across the globe suggests the digitalisation of our legal systems.
While it may serve as a tool to break down access barriers, AI legal tools could also introduce the automation of bias in our judicial systems, unaccountable decision-making, and act as an accelerant to a widening digital divide. AI is capable of meaningfully expanding equitable justice, but its implementation must safeguard human rights principles.
Improving access to justice
Across the globe, AI legal assistance pilot programmes are underway. The UNHCR piloted an AI agent to improve legal communication barriers in Jordan. AI transcribes, translates, and organises refugee queries. With its help, users can streamline their caseload management, which is key to keeping operations smooth even under financial strain.
NGOs working to increase access to justice, such as Migrasia in Hong Kong, have begun using AI-powered chatbots to triage legal queries from migrant workers, offering 24/7 multilingual legal assistance.
While it is clear that these tools are designed to assist rather than replace human legal experts, they are showing they have the potential to significantly reduce delays by streamlining processes. In the UK, AI transcription tools are being used to provide victims of serious sexual crimes with access to judges’ sentencing remarks and explanations of legal language. This tool enhances transparency for victims, especially those seeking emotional closure.
Even as these programmes are only being piloted, a UNESCO survey found that 44% of judicial workers across 96 countries are currently using AI tools, like ChatGPT, for tasks such as drafting and translating documents. For example, the Morrocan judiciary has already integrated AI technology into its legal system.
AI tools help judges prepare judgments for various cases, as well as streamline legal document preparation. The technology allows for faster document drafting in a multilingual environment. Soon, AI-powered case analysis, based on prior case data, may also provide legal experts with predictive outcomes. AI tools have the opportunity and are already beginning to, break down barriers to justice and ultimately improve the just application of the law.
Risking human rights
While AI-powered legal assistance can provide affordable access, improve outreach to rural or marginalised communities, close linguistic divides, and streamline cases, it also poses a serious risk to human rights. The most prominent concerns surround bias and discrimination, as well as widening the digital divide.
Deploying AI without transparency can lead to algorithmic systems perpetuating systematic inequalities, such as racial or ethnic biases. Meanwhile, the risk of black box decision-making, through the use of AI tools with unexplainable outputs, can make it difficult to challenge legal decisions, undermining due process and the right to a fair trial.
Experts emphasise that the integration of AI into legal systems must focus on supporting human judgment, rather than outright replacing it. Whether AI is biased by its training datasets or simply that it becomes a black box over time, AI usage is in need of foresighted governance and meaningful human oversight.
Image via Pixabay / jessica45
Additionally, AI will greatly impact economic justice, especially for those in low-income or marginalised communities. Legal professionals lack necessary training and skills needed to effectively use AI tools. In many legal systems, lawyers, judges, clerks, and assistants do not feel confident explaining AI outputs or monitoring their use.
However, this lack of education undermines the necessary accountability and transparency needed to integrate AI meaningfully. It may lead to misuse of the technology, such as unverified translations, which can lead to legal errors.
While the use of AI improves efficiency, it may erode public trust when legal actors fail to use it correctly or the technology reflects systematic bias. The judiciary in Texas, US, warned about this concern in an opinion that detailed the fear of integrating opaque systems into the administration of justice. Public trust in the legal system is already eroding in the US, with just over a third of Americans expressing confidence in 2024.
The incorporation of AI into the legal system threatens to derail the public’s faith that is left. Meanwhile, those without access to digital connectivity or literacy education may be further excluded from justice. Many AI tools are developed by for-profit actors, raising questions about justice accessibility in an AI-powered legal system. Furthermore, AI providers will have access to sensitive case data, which poses a risk of misuse and even surveillance.
The policy path forward
As already stated, for AI to be integrated into legal systems and help bridge the justice gap, it must take on the role of assisting to human judges, lawyers, and other legal actors, but it cannot replace them. In order for AI to assist, it must be transparent, accountable, and a supplement to human reason. UNESCO and some regional courts in Eastern Africa advocate for judicial training programmes, thorough guidelines, and toolkits that promote the ethical use of AI.
The focus of legal AI education must be to improve AI literacy and to teach bias awareness, as well as inform users of digital rights. Legal actors must keep pace with the innovation and integration level of AI. They are the core of policy discussions, as they understand existing norms and have firsthand experience of how the technology affects human rights.
Other actors are also at play in this discussion. Taking a multistakeholder approach that centres on existing human rights frameworks, such as the Toronto Declaration, is the path to achieving effective and workable policy. Closing the justice gap by utilising AI hinges on the public’s access to the technology and understanding how it is being used in their legal systems. Solutions working to demystify black box decisions will be key to maintaining and improving public confidence in their legal systems.
The future of justice
AI has the transformative capability to help bridge the justice gap by expanding reach, streamlining operations, and reducing cost. AI has the potential to be a tool for the application of justice and create powerful improvements to inclusion in our legal systems.
However, it also poses the risk of deepening inequalities and decaying public trust. AI integration must be governed by human rights norms of transparency and accountability. Regulation is possible through education and discussion predicated on adherence to ethical frameworks. Now is the time to invest in digital literacy to create legal empowerment, which ensures that AI tools are developed to be contestable and serve as human-centric support.
Image via Pixabay / souandresantana
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Nexon launched an investigation after players spotted several suspicious adverts for The First Descendant on TikTok that appeared to have been generated by AI.
One advertisement allegedly used a content creator’s likeness without permission, sparking concerns about the misuse of digital identities.
The company issued a statement acknowledging ‘irregularities’ in its TikTok Creative Challenge, a campaign that lets creators voluntarily submit content for advertising.
While Nexon confirmed that all videos had been verified through TikTok’s system, it admitted that some submissions may have been produced in inappropriate circumstances.
Nexon apologised for the delay in informing players, saying the review took longer than expected. It confirmed that a joint investigation with TikTok is underway to determine what happened, and it was promised that updates would be provided once the process is complete.
The developer has not yet addressed the allegation from creator DanieltheDemon, who claims his likeness was used without consent.
The controversy has added to ongoing debates about AI’s role in advertising and protecting creators’ rights.
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Anthropic has announced that its Claude Opus 4 and 4.1 models can now end conversations in extreme cases of harmful or abusive user interactions.
The company said the change was introduced after the AI models showed signs of ‘apparent distress’ during pre-deployment testing when repeatedly pushed to continue rejected requests.
According to Anthropic, the feature will be used only in rare situations, such as attempts to solicit information that could enable large-scale violence or requests for sexual content involving minors.
Once activated, Claude AI will be closed, preventing the user from sending new messages in that thread, though they can still access past conversations and begin new ones.
The company emphasised that the models will not use the ability when users are at imminent risk of self-harm or harming others, ensuring support channels remain open in sensitive situations.
Anthropic added that the feature is experimental and may be adjusted based on user feedback.
The move highlights the firm’s growing focus on safeguarding both AI models and human users, balancing safety with accessibility as generative AI continues to expand.
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WhatsApp is testing a new AI feature for iOS users that provides real-time writing assistance.
Known as ‘Writing Help’, the tool suggests alternative phrasings, adjusts tone, and enhances clarity, with all processing handled on-device to safeguard privacy.
The feature allows users to select professional, friendly, or concise tones before the AI generates suitable rewordings while keeping the original meaning. According to reports, the tool is available only to a small group of beta testers through TestFlight, with no confirmed release date.
WhatsApp says it uses Meta’s Private Processing technology to ensure sensitive data never leaves the device, mirroring privacy-first approaches like Apple’s Writing Tools.
Industry watchers suggest the new tool could give WhatsApp an edge over rivals such as Telegram and Signal, which have not yet introduced generative AI writing aids.
Analysts also see potential for integration with other Meta platforms, although challenges remain in ensuring accurate, unbiased results across different languages.
Writing Help could streamline business communication by improving grammar, structure, and tone accuracy if successful. While some users have praised its seamless integration, others warn that heavy reliance on AI could undermine authenticity in digital conversations.
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The ads, circulating primarily on TikTok, combine unnatural expressions with awkward speech patterns, triggering community outrage.
Fans on Reddit slammed the ads as ’embarrassing’ and akin to ‘cheap, lazy marketing,’ arguing that Nexon had bypassed genuine collaborators for synthetic substitutes, even though those weren’t subtle attempts.
Critics warned that these deepfake-like promotions undermine the trust and credibility of creators and raise ethical questions over likeness rights and authenticity in AI usage.
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