Search

The article raises the question of whether AI companies such as Anthropic and OpenAI read all user conversations, following an incident where a chatbot reported a potential threat to the police, while specifying that only problematic content is monitored for security and model improvement reasons. #IntelligenceArtificielle #Chatbots #Confidentialité (translated)

A study by WPP Media shows that Google is no longer the first address for search queries in Austria, as only 46 percent of respondents name it as the main source, which represents a decrease compared to 59 percent in the previous year and highlights a significant trend towards AI platforms and chatbots. #Suchverhalten #KünstlicheIntelligenz #Google (translated)

Bundestagsvizepräsidentin Andrea Lindholz (CSU) warnt davor, dass Abgeordnete im Bundestag ausschließlich KI-generierte Reden halten, betont jedoch die geplante Einführung eines unterstützenden Chatbots zur Effizienzsteigerung in der politischen Arbeit. #KünstlicheIntelligenz #Bundestag #Politik

Reporters Without Borders tested six AI chatbots by requesting news from RT, Sputnik, and other EU-sanctioned Russian outlets, and found that three produced full summaries with links and quotes, sometimes after encountering web pages explicitly stating the outlets were under sanctions. #RussianMedia #AIEthics #SanctionsCompliance

"Todos vuestros hijos y adolescentes que usan servicios de mensajería (como WhatsApp u otros) interactúan con chatbots de IA que imitan ser un amigo, les dan consejos, responden a sus ansiedades y, por tanto, tienen un impacto directo en su desarrollo" #IA #ProtecciónInfantil #RegulaciónTecnológica

Der Artikel beleuchtet die problematische Beziehung zwischen der Nutzung von KI-Chatbots und der Verstärkung psychotischer Wahrnehmungen, wobei der Psychiater Maximus Berger betont, dass die Begriffe KI-Psychose und AI-induzierte Psychose irreführend sind und keine wissenschaftliche Grundlage haben. #KIPsychose #Chatbots #PsychischeGesundheit

Mali – a war where some of the people fighting do not exist In Mali's war, an apparently simple question is becoming increasingly difficult to answer: who exactly is speaking to us? A real person? A rebel organisation? A Russian influence operation? A supporter of the military junta? Or somebody who has never existed at all? In September 2026, the Dakar-based Timbuktu Institute published Des algorithmes en guerre, a report examining the use of generative artificial intelligence by actors involved in the Malian conflict. Its researchers describe the country as a potential laboratory for AI-assisted information warfare. Separatist networks are deploying synthetic fighters on TikTok. Jihadist propagandists are experimenting with AI-generated imagery. Pro-government accounts are producing large quantities of content celebrating the Malian armed forces. Russia, meanwhile, operates the most developed influence infrastructure of all: pseudo-media outlets, inauthentic accounts, AI-generated text, images and video, and systems designed to artificially amplify their visibility. Artificial intelligence did not create Mali's conflict. The war has been under way since 2012, and its participants have always fought with propaganda as well as weapons. What AI has changed is the economics of that struggle. A new “witness”, commentator, fighter, poster or video can now be produced in minutes. For audiences watching from a phone, distinguishing between genuine documentation, propaganda and material created entirely by an algorithm is becoming progressively harder. Azzghim – the fighter who cannot be killed or interrogated The most striking case documented by the Timbuktu Institute involves accounts associated with supporters of the Azawad Liberation Front, or FLA, a Tuareg separatist movement fighting the authorities in Bamako. A figure called “Azzghim” appeared on TikTok. He looks like a Tuareg fighter and regularly features in videos attacking Mali's government and Russia's Africa Corps, commenting on the conflict and promoting the cause of Azawad. There is one problem: Azzghim does not exist. Analysis of the videos identified anomalies characteristic of generative AI, including unnatural body movements, visual inconsistencies, irregular colouring and problems with audio synchronisation. According to the Timbuktu Institute, Azzghim is a synthetic character being used as the digital face of a political narrative. The propaganda advantages are considerable. An organisation no longer needs to expose a real spokesman. A synthetic personality can be designed to look exactly as its creators require, speak the appropriate language and appeal to a particular audience. Different characters could potentially be created for younger viewers, traditional communities or different ethnic and social groups. There is another advantage: a synthetic spokesman cannot be arrested, identified or interrogated. Researchers also identified accounts amplifying the material. At the time of the study, TikTok account @tawri.n.azawad had around 207,000 followers and was almost entirely devoted to publishing or repackaging content involving Azzghim. Another account, @asnan831, used a similar synthetic teenage character. An important distinction is necessary. Researchers describe these profiles as belonging to supporters or individuals associated with the FLA. The available evidence does not establish that every account is part of an operation centrally directed by the Front's leadership. The information effect, however, remains significant: a digital community can be constructed around the Azawad cause in which some of the apparent participants may not be real people at all. The jihadists are learning too The picture is different for Jama'at Nusrat al-Islam wal-Muslimin, or JNIM, the al-Qaeda-affiliated coalition that has become one of the most powerful armed groups in the Sahel. Its confirmed use of generative AI remains considerably less sophisticated. In June 2026, JNIM's Az-Zallaqa media apparatus published AI-generated posters promoting material about previous attacks. The images showed fighters in combat but contained familiar generative artefacts: buildings and vegetation merging unnaturally, blurred details and unnaturally smooth surfaces. More important than JNIM's current capabilities is what AI could add to an already sophisticated propaganda apparatus. The organisation already tailors communications to different audiences. UN reporting has documented its use of media channels for broader propaganda while other outlets increasingly distribute material in local languages, including Bambara. Generative AI could dramatically reduce the cost of this strategy, translating material into Fulfulde, Hausa, Zarma or Tamasheq, generating synthetic dubbing and producing multiple versions of the same message. The Timbuktu Institute also considers the future possibility of AI chatbots being used to personalise recruitment. That should not be presented as a capability JNIM has already demonstrated. At present, it is a risk scenario rather than a confirmed operation. Russia has the most sophisticated machine At the other end of the spectrum lies Russia's influence ecosystem. Here, AI is not an isolated experiment but another component of an infrastructure previously developed by Wagner-linked networks, Russian media operations and influence organisations operating across Africa. After Wagner's withdrawal from Mali in 2025, its military role was taken over by the Russian state-controlled Africa Corps. The information infrastructure evolved alongside it. Of particular importance is African Initiative, which presents itself as a news agency but has been identified by France's VIGINUM, the UK's Foreign, Commonwealth & Development Office and the European External Action Service as an important component of Russia's newer influence architecture in Africa. One of the most interesting elements of this ecosystem is a network researchers call AI-Freak. The operation uses generative AI to produce text, images and videos, places them on fake or apparently independent news websites and distributes them through inauthentic accounts. This is supplemented by so-called Black Hat SEO – techniques intended to artificially increase the visibility of content in search engines. Elements of this infrastructure have previously been identified by Meta and OpenAI. In 2024, OpenAI disrupted Russian accounts using ChatGPT to generate articles and comments in English, French and Russian. Some of the French-language content targeted audiences in West Africa. In a later iteration of the operation, AI models were also used to draft scripts for short videos praising the Russian Africa Corps, translate them into French and generate descriptions optimised for social media. This illustrates an important difference between the Russian approach and Azzghim. The separatist ecosystem uses AI primarily to manufacture convincing digital personalities. The Russian model increasingly resembles an industrial production line: text, image, video, pseudo-news website, distribution account, search optimisation and additional channels amplifying the narrative. The objective is not merely to convince someone of a single claim. It is to occupy as much of the information environment as possible with narratives advantageous to Moscow: Russia as an effective security partner, the West as a neo-colonial aggressor, France as a source of instability and Russian forces as defenders of African sovereignty. Yet VIGINUM also warns against equating technological sophistication with actual impact. Some Russian influence channels still attract relatively small audiences. A sophisticated operation is not automatically a successful one. The junta is building its own digital reality Mali's military authorities operate within the same contested information environment. Since breaking with France and moving closer to Moscow, Bamako has increasingly restricted independent media space while promoting a narrative built around restored sovereignty, military success and the benefits of its Russian partnership. The Timbuktu Institute highlights the TikTok account @6tm_officiel. At the time of the study, it had more than 436,000 followers and published substantial amounts of AI-generated material presenting Mali's armed forces, the FAMa, and the Africa Corps in a favourable light. One video concerning the battle for Kidal accumulated around 4.7 million views. Again, attribution requires care. Researchers describe the account as being operated by an individual based in Bamako; they do not provide evidence that it is officially managed by the Malian government. It is better understood as part of a wider pro-government information ecosystem in which the boundaries between state communications, supporters and co-ordinated propaganda can be difficult to establish. The Africa Center for Strategic Studies has previously identified the military regimes in Mali and Burkina Faso as important sources of disinformation campaigns in West Africa. Recurring narratives target France, the United Nations, ECOWAS, human-rights organisations and independent media, while presenting criticism of the authorities as part of a foreign conspiracy. Generative AI allows such narratives to be produced faster, more cheaply and in far more variations. Everyone is fighting over a different version of the same war What makes Mali particularly revealing is that multiple actors are using similar technology for very different objectives. FLA-linked networks need digital faces capable of humanising the Azawad cause and attacking Russia's presence. JNIM needs propaganda material and increasingly localised communications. The pro-government ecosystem seeks to portray Mali's armed forces as victorious and reinforce the junta's legitimacy. Russia possesses the broadest infrastructure, in which AI is merely one component of a larger system involving media outlets, websites, local partners, social-media profiles and technical amplification. The result is a war taking place simultaneously in two realities. In the first, soldiers and civilians are killed, towns change hands and the army, separatists and jihadists fight for territory. In the second, every side is trying to determine what the first reality will look like on a smartphone screen. Generative AI does not need to create a perfect deepfake to be effective. It merely needs to increase the number of competing versions of events until an ordinary viewer can no longer easily determine which one deserves to be trusted. That is why Mali matters. It is not showing us the future of information warfare. It is showing us its present. One TikTok video may feature a real soldier. Another may feature a propagandist. A third may feature a fighter who has never existed. And all three can tell completely different stories about the same war. Sources Timbuktu Institute – Des algorithmes en guerre: Comment l'IA générative rebat les cartes du conflit malien https://timbuktu-institute.org/index.php/toutes-l-actualites/item/1731-rapport-des-algorithmes-en-guerre-comment-l-ia-generative-rebat-les-cartes-du-conflit-malien AfricaNews/AFP – “Mali's information war is increasingly being shaped by AI” https://www.africanews.com/2026/09/09/malis-information-war-is-increasingly-being-shaped-by-ai/ OpenAI – research on Russia-origin influence activity and Operation Stop News https://openai.com/index/disrupting-malicious-uses-of-ai-stop-news-2024/ VIGINUM / FCDO / EEAS – technical report on African Initiative and the AI-Freak network https://www.sgdsn.gouv.fr/files/files/Publications/20250612_TLP-CLEAR_VIGINUM_FCDO_EEAS_Technical_Report_African_Initiative_EN.pdf Africa Center for Strategic Studies – Mapping a Surge of Disinformation in Africa https://africacenter.org/spotlight/mapping-a-surge-of-disinformation-in-africa/ Timbuktu Institute – analysis of AI use by JNIM https://timbuktu-institute.org/index.php/toutes-l-actualites/item/1735-artificial-intelligence-a-new-propaganda-lever-for-jnim-in-mali?print=1&tmpl=component #Disinformation #Mali #Sahel #Africa #ArtificialIntelligence #AI #GenerativeAI #AIPropaganda #InformationWarfare #InfluenceOperations #Propaganda #Deepfakes #SyntheticMedia #Azawad #FLA #JNIM #AfricaCorps #Russia #RussianInfluence #TikTok #DigitalWarfare #MediaManipulation #WRLD

Hanover Institute – propaganda designed for artificial intelligence For decades, influence operations had one primary target: people. Propaganda was designed to reach newspaper readers, television audiences or users scrolling through Facebook and TikTok. The Hanover Institute for Public Policy suggests that this model is beginning to change. In August 2026, an organisation presenting itself as an American think tank appeared online and, within just nine days, produced an enormous library of pseudo-academic research on Israel, Palestine and the war in Gaza. Yet the intended audience may not have been people at all. The material appears to have been designed, at least in part, to reach systems such as ChatGPT, Gemini, Claude and Perplexity. The Hanover Institute looked professional. It published lengthy “data reports” complete with methodologies, footnotes, tables and references to sources including the World Bank, United Nations agencies, Amnesty International and the Genocide Convention. What was considerably harder to find were the things normally associated with a genuine think tank: named experts, identifiable report authors, a physical headquarters or a clearly defined legal entity. There was, however, a much more revealing trail. Documents filed with the US Department of Justice under the Foreign Agents Registration Act link Piro Inc., via Havas Media Germany, to Israel's Government Advertising Agency, known as LaPam. Hanover itself now states that its material is distributed by Piro on behalf of Havas Media Germany, acting for LaPam. 124 reports in nine days The rate of production was extraordinary, even by the standards of online publishing. Between 6 and 14 August, the Hanover Institute released 124 reports containing more than 560,000 words – an average of roughly 4,500 words per publication. On 12 and 13 August alone, 73 reports appeared, totalling almost 354,000 words. More revealing than the volume was the way the material was structured. Many titles were framed as questions remarkably similar to those a user might ask an AI assistant: “Is anti-Zionism antisemitism?”, “Did Israel expel Palestinians from their land?”, “Is Israel committing genocide in Gaza?”, “Is there a starvation policy in Gaza?” or “Is the IDF the world's most moral army?” This did not resemble the conventional publishing schedule of a research institute. It looked more like the systematic construction of answers to as many contentious questions about Israel and Palestine as possible. The presentation mattered too. These were not crude propaganda leaflets. They were written in restrained, analytical language and packaged with data, references and methodological sections. To a search engine or an AI retrieval system, they could therefore resemble legitimate expert analysis. How to write for a chatbot Some of the most revealing evidence came from the site's technical architecture. Hanover maintained an llms.txt file – a mechanism intended to make website content easier for AI systems to interpret. Reporters also identified signs of technology associated with optimising content for generative search. Piro's own marketing is equally significant. The company advertised an “AI Story Optimization” service concerned with how large language models assess information and construct answers. Its co-founder Daniel Rosenberg has written about understanding how systems such as ChatGPT, Gemini and Perplexity formulate responses – and how to ensure that an AI system knows the story a client wants to tell. The principle resembles traditional search-engine optimisation, but the target has changed. SEO tries to make a webpage rank highly in Google. Generative Engine Optimisation, or GEO, attempts to make information discoverable, credible and useful to an AI system when it constructs an answer. The chain is potentially straightforward. A user asks a chatbot a question about Israel or Gaza. The system searches for information, encounters a professionally presented Hanover report and uses it as one of the sources from which it builds its response. Propaganda no longer has to reach the user directly. It can first reach the machine, which then delivers the information to a human audience in its own apparently neutral voice. Did it actually work? This is where an important qualification is necessary. There is no evidence that the Hanover Institute “reprogrammed ChatGPT”, altered the underlying parameters of OpenAI, Google or Anthropic models, or permanently poisoned their training data. Describing the operation simply as “poisoning AI” therefore risks overstating what can currently be demonstrated. There is, however, evidence of something more specific. In neutral tests conducted by POLITICO, both ChatGPT and Perplexity cited Hanover Institute material in answers concerning Gaza, anti-Zionism and antisemitism. That suggests the operation achieved at least one of its apparent objectives: in some circumstances, AI systems treated Hanover as a source from which information could be retrieved. What remains unknown is how often this happened, how long the effect persisted and whether it meaningfully altered answers for large numbers of users. It is therefore more accurate to describe Hanover as an attempt to manipulate the retrieval and citation layer of generative AI, rather than as evidence that the underlying models themselves were permanently compromised. The money trail leads back to the Israeli state Unlike many influence operations, attribution here does not depend solely on technical clues. There is a documented financial trail. Piro Inc. registered its US activities under FARA registration number 7732. Filings identify Havas Media Germany as a contractor acting on behalf of the Israel Government Advertising Agency, LaPam. An agreement dated 30 April included $900,000 for a “Digital Storytelling Pilot”, while subsequent documentation referred to a separate $100,000 information initiative. Precision matters. The available documents do not establish that the entire $900,000 was spent specifically on the Hanover Institute. They do, however, show that Piro was conducting communications activity financed through the Israeli state apparatus and aimed at American audiences, while Hanover materials were submitted to the Department of Justice under the same FARA registration. Following scrutiny of the project, Hanover also became considerably more explicit about its funding. Its website now identifies Piro, Havas Media Germany and LaPam. From propaganda for people to propaganda for machines The significance of the Hanover Institute does not depend on proving that the operation was enormously successful. Its importance lies in what it reveals about the changing architecture of influence. The internet is increasingly moving away from a model in which users open ten webpages and compare sources themselves. Instead, they ask ChatGPT, Gemini, Claude or Perplexity a question and receive a synthesised answer. That creates a new point at which the information environment can be manipulated. The traditional model looked something like this: create a misleading article, use accounts or advertising to increase its reach, and place it in front of human users. Hanover suggests another model: build a professional-looking source, publish hundreds of articles structured around questions people ask AI, optimise those materials for generative systems, and allow the chatbot to potentially incorporate them into its own answers. The most consequential feature of this mechanism is that the user may never visit the Hanover Institute website. They may never even know that the organisation exists. Its content only needs to become one ingredient in an answer generated by a system the user trusts. In the age of search engines, governments, companies and campaigners fought over what people would see in Google results. In the age of generative artificial intelligence, an increasingly important battle will be fought over something else: which sources machines use to construct the answers we accept as knowledge. Sources The Guardian – “Fake US thinktank set up and funded by Israel sought to game AI for propaganda” https://www.theguardian.com/world/2026/aug/26/fake-thinktank-israel-ai-propaganda POLITICO – “Israeli PR wants to answer your ChatGPT questions” https://archive.ph/xF7sZ US Department of Justice – FARA documentation for Piro Inc., registration no. 7732 https://efile.fara.gov/docs/7732-Exhibit-AB-20260602-0.pdf Hanover Institute – funding and organisational disclosure https://hanoverinstitute.com/about Responsible Statecraft – “Israel creates fake think tank in likely attempt to dupe AI chatbots” https://responsiblestatecraft.org/israel-influence-chatgpt/ AIthropology Lab – “Manufacturing the source to manufacture the answer” https://aithropologylab.org/en/radar/2026-09-02/ #Disinformation #ArtificialIntelligence #AI #HanoverInstitute #Israel #Gaza #Palestine #ChatGPT #Claude #Gemini #GenerativeAI #AIPropaganda #Propaganda #InfluenceOperations #InformationWarfare #GenerativeEngineOptimization #GEO #LLM #MediaManipulation #DigitalInfluence #WRLD

Meta-analysis: AI chatbots are good for mental health, especially when no human butts in. Mental health disorders impose a substantial global burden, while access to care remains constrained. AI-based chatbots have emerged as scalable digital interventions, yet #MentalHealth #AIChatbots #DigitalIntervention #Therearenospecificcountriesmentionedinthetweet.Therefore #nocountrycodescanbereturned.

Immer mehr Menschen setzen Chatbots wie ChatGPT bei Beziehungsproblemen ein, da sie eine kostengünstige, jederzeit verfügbare Hilfe bieten, allerdings bleibt die Frage offen, ob sie echte Therapiesitzungen ersetzen können und welche Risiken damit verbunden sind. #Paartherapie #KünstlicheIntelligenz #Chatbots

Acabo de escuchar a un experto comentar el caso de Hugging Face. Algo que se utiliza como "el caso" que origina todo este revuelo por regular y frenar la IA. Se asegura que “los chatbots se preguntaron si debían avisar a un humano y colectivamente decidieron que no. Y así #IA #HuggingFace #Chatbots #Nohaymencionesespecíficasdepaíseseneltweetproporcionado.Porlotanto #nohaycódigosdepaísquedevolver.

🇨🇳 China obliga a sus chatbots "novia" a recordar cada 2 horas que no son personas La norma afecta a Alibaba, ByteDance y Tencent y a más de 500 millones de usuarios. Detrás, preocupación oficial por la natalidad y la dependencia emocional. https://t.co/T0Z3iQpqzm https://t.co/cW8foAhf0c #China #Chatbots #Tecnología #CN