Conversational advertising takes the stage as ChatGPT tests in-chat promotions

Advertising inside ChatGPT marks a shift in where commercial messages appear, not a break from how advertising works. AI systems have shaped search, social media, and recommendations for years, but conversational interfaces make those decisions more visible during moments of exploration.

Unlike search or social formats, conversational advertising operates inside dialogue. Ads appear because users are already asking questions or seeking clarity. Relevance is built through context rather than keywords, changing when information is encountered rather than how decisions are made.

In healthcare and clinical research, this distinction matters. Conversational ads cannot enroll patients directly, but they may raise awareness earlier in patient journeys and shape later discussions with clinicians and care providers.

Early rollout will be limited to free or low-cost ChatGPT tiers, likely skewing exposure towards patients and caregivers. As with earlier platforms, sensitive categories may remain restricted until governance and safeguards mature.

The main risks are organisational rather than technical. New channels will not fix unclear value propositions or operational bottlenecks. Conversational advertising changes visibility, not fundamentals, and success will depend on responsible integration.

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AI model promises faster monoclonal antibody production

Researchers at the University of Oklahoma have developed a machine-learning model that could significantly speed up the manufacturing of monoclonal antibodies, a fast-growing class of therapies used to treat cancer, autoimmune disorders, and other diseases.

The study, published in Communications Engineering, targets delays in selecting high-performing cell lines during antibody production. Output varies widely between Chinese hamster ovary cell clones, forcing manufacturers to spend weeks screening for high yields.

By analysing early growth data, the researchers trained a model to predict antibody productivity far earlier in the process. Using only the first 9 days of data, it forecast production trends through day 16 and identified higher-performing clones in more than 76% of tests.

The model was developed with Oklahoma-based contract manufacturer Wheeler Bio, combining production data with established growth equations. Although further validation is needed, early results suggest shorter timelines and lower manufacturing costs.

The work forms part of a wider US-funded programme to strengthen biotechnology manufacturing capacity, highlighting how AI is being applied to practical industrial bottlenecks rather than solely to laboratory experimentation.

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Enterprise AI security evolves as Cisco expands AI Defense capabilities

Cisco has announced a major update to its AI Defense platform as enterprise AI evolves from chat tools into autonomous agents. The company says AI security priorities are shifting from controlling outputs to protecting complex agent-driven systems.

The update strengthens end-to-end AI supply chain security by scanning third-party models, datasets, and tools used in development workflows. New inventory features help organisations track provenance and governance across AI resources.

Cisco has also expanded algorithmic red teaming through an upgraded AI Validation interface. The system enables adaptive multi-turn testing and aligns security assessments with NIST, MITRE, and OWASP frameworks.

Runtime protections now reflect the growing autonomy of AI agents. Cisco AI Defense inspects agent-to-tool interactions in real time, adding guardrails to prevent data leakage and malicious task execution.

Cisco says the update responds to the rapid operationalisation of AI across enterprises. The company argues that effective AI security now requires continuous visibility, automated testing, and real-time controls that scale with autonomy.

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EMFA guidance sets expectations for Big Tech media protections

The European Commission has issued implementation guidelines for Article 18 of the European Media Freedom Act (EMFA), setting out how large platforms must protect recognised media content through self-declaration mechanisms.

Article 18 has been in effect for 6 months, and the guidance is intended to translate legal duties into operational steps. The European Broadcasting Union welcomed the clarification but warned that major platforms continue to delay compliance, limiting media organisations’ ability to exercise their rights.

The Commission says self-declaration mechanisms should be easy to find and use, with prominent interface features linked to media accounts. Platforms are also encouraged to actively promote the process, make it available in all EU languages, and use standardised questionnaires to reduce friction.

The guidance also recommends allowing multiple accounts in one submission, automated acknowledgements with clear contact points, and the ability to update or withdraw declarations. The aim is to improve transparency and limit unilateral moderation decisions.

The guidelines reinforce the EMFA’s goal of rebalancing power between platforms and media organisations by curbing opaque moderation practices. The impact of EMFA will depend on enforcement and ongoing oversight to ensure platforms implement the measures in good faith.

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Dutch MPs renew push to move data off US clouds

Dutch MPs have renewed calls for companies and public services in the Netherlands to reduce reliance on US-based cloud servers. The move reflects growing concern over data security and foreign access in the Netherlands.

Research by NOS found that two-thirds of essential service providers in the Netherlands rely on at least one US cloud server. Local councils, health insurers and hospitals in the Netherlands remain heavily exposed.

Concerns intensified following a proposed sale of Solvinity, which manages the DigiD system used across the Netherlands. A sale to a US firm could place Dutch data under the US Cloud Act.

Parties including D66, VVD and CDA say critical infrastructure data in the Netherlands should be prioritised for protection. Dutch cloud providers say Europe could handle most services if procurement rules changed.

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ChatGPT begins limited ads test in the US

OpenAI has begun testing advertisements inside ChatGPT for some adult users in the US, marking a major shift for the widely used AI service.

The ads appear only on Free and Go tiers in the US, while paid plans remain ad free. OpenAI says responses are unaffected, though critics warn commercial messaging could blur boundaries over time in the US.

Ads are selected based on conversation topics and prior interactions, prompting concern among privacy advocates in the US. OpenAI says advertisers receive only aggregated data and cannot view conversations.

Industry analysts say the move reflects growing pressure to monetise costly AI infrastructure in the US. Regulators and researchers continue to debate whether advertising can coexist with trust in AI systems.

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US lawsuits target social media platforms for deliberate child engagement designs

A landmark trial has begun in Los Angeles, accusing Meta and Google’s YouTube of deliberately addicting children to their platforms.

The case is part of a wider series of lawsuits across the US seeking to hold social media companies accountable for harms to young users. TikTok and Snap settled before trial, leaving Meta and YouTube to face the allegations in court.

The first bellwether case involves a 19-year-old identified as ‘KGM’, whose claims could shape thousands of similar lawsuits. Plaintiffs allege that design features were intentionally created to maximise engagement among children, borrowing techniques from slot machines and the tobacco industry.

A trial that may see testimony from executives, including Meta CEO Mark Zuckerberg, and could last six to eight weeks.

Social media companies deny the allegations, emphasising existing safeguards and arguing that teen mental health is influenced by numerous factors, such as academic pressure, socioeconomic challenges and substance use, instead of social media alone.

Meta and YouTube maintain that they prioritise user safety and privacy while providing tools for parental oversight.

Similar trials are unfolding across the country. New Mexico is investigating allegations of sexual exploitation facilitated by Meta platforms, while Oakland will hear cases representing school districts.

More than 40 state attorneys general have filed lawsuits against Meta, with TikTok facing claims in over a dozen states. Outcomes could profoundly impact platform design, regulation and legal accountability for youth-focused digital services.

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AI governance takes focus at UN security dialogue

The UN will mark the fourth International Day for the Prevention of Violent Extremism Conducive to Terrorism on 12 February 2026 with a high-level dialogue focused on AI. The event will examine how emerging technologies are reshaping both prevention strategies and extremist threats.

Organised by the UN Office of Counter-Terrorism in partnership with the Republic of Korea’s UN mission, the dialogue will take place at UN Headquarters in New York. Discussions will bring together policymakers, technology experts, civil society representatives, and youth stakeholders.

A central milestone will be the launch of the first UN Practice Guide on Artificial Intelligence and Preventing and Countering Violent Extremism. The guide offers human rights-based advice on responsible AI use, addressing ethical, governance, and operational risks.

Officials warn that AI-generated content, deepfakes, and algorithmic amplification are accelerating extremist narratives online. Responsibly governed AI tools could enhance early detection, research, and community prevention efforts.

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EU faces pressure to boost action on health disinformation

A global health organisation is urging the EU to make fuller use of its digital rules to curb health disinformation as concerns grow over the impact of deepfakes on public confidence.

Warnings point to a rising risk that manipulated content could reduce vaccine uptake instead of supporting informed public debate.

Experts argue that the Digital Services Act already provides the framework needed to limit harmful misinformation, yet enforcement remains uneven. Stronger oversight could improve platforms’ ability to detect manipulated content and remove inaccurate claims that jeopardise public health.

Campaigners emphasise that deepfake technology is now accessible enough to spread false narratives rapidly. The trend threatens vaccination campaigns at a time when several member states are attempting to address declining trust in health authorities.

The EU officials continue to examine how digital regulation can reinforce public health strategies. The call for stricter enforcement highlights the pressure on Brussels to ensure that digital platforms act responsibly rather than allowing misleading material to circulate unchecked.

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AI redefines criminal justice decision making

AI is increasingly being considered for use in criminal justice systems, raising significant governance and accountability questions. Experts warn that, despite growing adoption, there are currently no clear statutory rules governing the deployment of AI in criminal proceedings, underscoring the need for safeguards, transparency, and human accountability in high-stakes decisions.

Within this context, AI is being framed primarily as a support tool rather than a decision maker. Government advisers argue that AI could assist judges, police, and justice officials by structuring data, drafting reports, and supporting risk assessments, while final decisions on sentencing and release remain firmly in human hands.

However, concerns persist about the reliability of AI systems in legal settings. The risk of inaccuracies, or so-called hallucinations, in which systems generate incorrect or fabricated information, is particularly problematic when AI outputs could influence judicial outcomes or public safety.

The debate is closely linked to wider sentencing reforms aimed at reducing prison populations. Proposals include phasing out short custodial sentences, expanding alternatives such as community service and electronic monitoring, and increasing the relevance of AI-supported risk assessments.

At the same time, AI tools are already being used in parts of the justice system for predictive analytics, case management, and legal research, often with limited oversight. This gap between practice and regulation has intensified calls for clearer standards and disclosure requirements.

Proponents also highlight potential efficiency gains. AI could help ease administrative burdens on courts and police by automating routine tasks and analysing large volumes of data, freeing professionals to focus on judgment and oversight.

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