Digital divide shapes AI job outcomes

A joint study by the International Labour Organization and the World Bank finds that AI will reshape labour markets unevenly across countries. Research covering 135 economies highlights growing risks for workers as automation expands.

Advanced economies show higher exposure to AI, particularly in clerical and professional roles. Lower-income regions face fewer direct impacts but lack the infrastructure and skills needed to capture productivity gains.

The digital divide plays a central role, with many vulnerable jobs already online and therefore exposed to automation. Workers in roles with potential benefits often lack reliable internet access, limiting opportunities.

The ILO’s findings suggest outcomes depend on infrastructure, skills and job design rather than technology alone. Policymakers are urged to improve connectivity, training and social protections to spread benefits more evenly.

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Human creativity outperforms AI in new research findings

New research challenges assumptions about AI creativity, concluding that human imagination remains significantly more advanced than generative systems.

The study, published in Advanced Science, examined how AI models perform in visual creative tasks compared with both professional artists and non-artists.

Researchers developed an experimental method to assess creativity using abstract visual tasks, comparing human and AI outputs under different conditions.

Results showed a clear hierarchy, with visual artists achieving the highest creativity scores, followed by the general population, while AI models ranked lower, especially when operating without human guidance.

These findings indicate that even when trained on human-created material, AI struggles to replicate originality and imaginative depth.

The study argues that creativity should be analysed as a process rather than judged solely by final outputs. By examining stages from idea generation to execution, researchers found that AI systems rely heavily on human input throughout development and use.

Removing human assistance significantly reduced the quality and originality of AI-generated results, reinforcing the limitations of current generative models.

Overall, the research highlights a persistent gap between human and artificial creativity, suggesting that AI operates more as a tool guided by human direction than as an independent creative agent.

The findings contribute to broader debates in cognitive science and AI, emphasising the continued importance of human involvement in creative processes.

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IAPP updates US state breach notification resource as legal differences persist

The International Association of Privacy Professionals (IAPP) has updated its US State Breach Notification Chart, a resource that summarises state breach notification laws across the United States. In an analysis published on 26 March, the IAPP says the revised chart highlights both nationwide coverage and continuing variation in how states define personal information, apply harm thresholds, and trigger reporting duties.

According to the IAPP, all 50 states, the District of Columbia, Guam, Puerto Rico, and the US Virgin Islands now have breach notification laws. California enacted the first state law in 2002, which took effect in 2003, while Alabama was the last state to adopt such a law in 2018. The IAPP says the result is a de facto nationwide framework, but one marked by significant differences across jurisdictions.

A central point in the analysis is that breach notification laws generally use a narrower definition of personal information than more recent comprehensive privacy laws. The IAPP says the original purpose of breach notification was to alert people to the risks of identity theft and financial fraud after a data breach, so laws tend to focus on identifiers such as names combined with Social Security numbers, driver’s licence details, or financial account credentials.

The article contrasts narrower statutes with broader ones. Hawaii’s law is described as among the narrowest, while Illinois and California are presented as having broader definitions that can extend to medical information, health insurance details, biometric data, genetic data, and, in California’s case, some automated licence plate recognition data.

Even so, the IAPP says many state breach laws still do not cover large categories of digital information, such as browsing history, cookie data, IP addresses, cell phone numbers, purchasing records, or complete financial transaction histories where account credentials were not compromised.

Exemptions and scope also vary. The IAPP says most breach notification laws apply broadly to businesses and often to nonprofit organisations, while privacy laws tend to contain more exclusions. The article notes that some states cover state and local government entities directly, while California has a separate breach notification law for governmental bodies. The IAPP also says its chart is focused on laws applicable to the private sector.

Encryption safe harbours appear across the state laws, according to the analysis, with some states also recognising redaction or other protections that render data unreadable or unusable. Attorney general notification requirements also differ. The IAPP says 34 state laws require notice to the state attorney general once certain thresholds are met, with thresholds ranging from 250 affected residents in North Dakota and Oregon to 1,000 in many other states, while some states, such as Connecticut and New York, require notice regardless of the number affected.

Harm thresholds are another area of divergence. The IAPP says about 30 state laws include a harm standard, meaning notice may not be required unless the breach caused, or is likely to cause, harm to affected individuals.

The article describes substantial differences in wording across states, with some referring to ‘reasonable likelihood’ of harm, others to ‘material risk,’ ‘substantial economic loss,’ or misuse of the data, while some states, including California, Georgia, Illinois, Massachusetts, Minnesota, North Dakota, and Texas, require no harm showing at all.

The practical effect, the IAPP argues, is that organisations holding data on residents of multiple states face a complex compliance problem. A data element that triggers notice in one state may not do so in another, and the article says reconciling the different harm standards is effectively impossible. The analysis notes that some organisations may decide to notify if there is doubt, while others may choose to notify only where clearly required.

The IAPP concludes that the absence of a preemptive federal breach notification law leaves entities to navigate overlapping but inconsistent state rules. Its updated chart is presented as a tool to help practitioners track those differences and build awareness of how US state breach notification laws continue to evolve.

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FCA outlines AI-driven plan to modernise financial regulation

The UK’s Financial Conduct Authority (FCA) has outlined plans to integrate AI and data-driven tools into its regulatory processes as part of its 2026/27 work programme to become a more efficient and effective regulator.

The programme includes developing an internal authorisation tool to speed up approvals and using generative AI to review documents and support supervision, while maintaining human decision-making at the core of regulatory actions.

The FCA said it will also test automated data-sharing in a sandbox environment, expand its Supercharged Sandbox for firms developing AI-based financial products, and invest in analytics to better identify risks and prioritise cases.

Measures to reduce burdens on firms include removing certain data reporting requirements, simplifying digital processes and improving authorisation timelines, alongside efforts to enhance firms’ experience through new tools and feedback mechanisms.

The regulator also plans to support economic growth and consumer protection by advancing measures such as regulating buy now pay later products, speeding up IPO processes, expanding international presence, and addressing emerging risks, including the use of general-purpose AI in financial decision-making.

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National security rules to prioritise UK contracts in AI, steel and shipbuilding

The UK government has announced new procurement guidance that will treat shipbuilding, steel, AI, and energy infrastructure as critical to national security, with departments directed to prioritise British businesses where necessary to protect national security. The press release was published on 26 March by the Cabinet Office and its Minister, Chris Ward.

According to the government, the new approach is intended to respond to recent supply-chain fragility and strengthen domestic capacity in sectors it describes as vital to national security. The guidance is presented as the first clear framework for how departments can protect the UK’s economic security and build resilience in the four named sectors.

Additional measures in the package go beyond sector prioritisation. The government says departments will either use British steel or provide a justification if steel is sourced from overseas, linking the change to the UK Steel Strategy launched the previous week. Officials also say the reforms support the government’s Modern Industrial Strategy and follow the publication of the National Security Strategy.

Procurement reform is another part of the package. Under a new Public Interest Test, departments will be asked to assess whether outsourced service contracts worth more than £1 million could be delivered more effectively in-house. The government says the test will cover more than 95% of central government contracts by value.

Community impact is also being built into the contracting framework. Departments will be required to publish and report annually on a specific social value goal for contracts above £5 million, which the government says will cover more than 90% of central government contracts by value. Companies bidding for public contracts are also being encouraged to include commitments on local jobs, skills, and apprenticeships.

The press release also says a new suite of AI tools has been developed to streamline the commercial process. Contract terms will be simplified, and additional business information will be integrated into a central platform, with the stated aim of reducing repeated submissions by smaller businesses bidding for multiple contracts.

Chris Ward said: ‘This Government is backing British businesses and the working people who power them. These reforms are about using the full weight of Government spending to support British jobs, protect our national security and grow our economy.’ He added: ‘Whether you make steel in Scunthorpe, build ships on the Clyde or run a small tech firm in the Midlands, this Government is on your side.’

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India AI governance faces court, privacy and cyber pressures

An opinion article published by the International Association of Privacy Professionals says India’s data protection and AI governance environment is facing growing pressure as compliance work around the Digital Personal Data Protection Act (DPDPA) unfolds, court challenges continue, and regulators widen oversight into new sectors. The piece, published on 26 March, is labelled as an opinion article and includes an editor’s note stating that the IAPP is policy neutral and publishes contributed opinion pieces to reflect a broad spectrum of views.

The article says several legal and regulatory developments are unfolding simultaneously. One example cited is a public interest litigation filed before India’s Supreme Court by journalist Geeta Seshu and the Software Freedom Law Centre, India, challenging parts of the DPDPA on constitutional and rights-related grounds. According to the piece, the Supreme Court later issued a notice to the Government of India on 12 March.

Concerns outlined in the article include the absence of journalistic exemptions, the lack of compensation for data breach victims when penalties are imposed to the government, broad state powers to exempt departments from the law, and questions about the independence of the Data Protection Board given the government’s control over appointments. The article notes that similar petitions had already been filed, but says this was the first time the court issued notice to the government.

The article also turns to proceedings before the Kerala High Court involving privacy concerns about biometric and personal data collected through Digi Yatra, a not-for-profit foundation that operates airport passenger-processing infrastructure in India. According to the piece, a public interest litigation filed by C R Neelakandan asked for a temporary restraint on the sharing of collected personal data and its commercial use without proper authorisation.

The article says the Kerala High Court issued notice to the Digi Yatra Foundation and sought clarification from the government on whether the Data Protection Board had been established to oversee such matters.

Alongside the litigation, the opinion piece points to government efforts to show legal preparedness for AI-related risks. It says Electronics and Information Technology Minister Ashwini Vaishnaw outlined existing safeguards during the ongoing parliamentary session, referring to the Information Technology Act, the DPDPA, and subordinate rules, along with published guidelines on AI governance, toy safety, harmful content, awareness-building measures, and cyber safety.

Cybersecurity developments also feature in the article. It says the Indian Computer Emergency Response Team, working with the SatCom Industry Association, issued guidelines on 26 February for space, including satellite communications. According to the piece, the framework is intended to strengthen resilience in India’s space ecosystem.

It applies to covered entities, including government agencies, satellite service providers, ground station operators, terminal equipment vendors, and private space entities. Incident reporting within six hours and annual audits are among the measures described.

A further section of the article draws on Thales’ 2026 Data Threat Report. The piece says 64% of surveyed organisations in India identified AI-driven transformation as their biggest security risk, while 55% said they had to deal with reputational damage caused by AI-generated misinformation. It also says 65% reported deepfake-driven attacks, 35% had a complete view of their data, and 36% could fully classify their data.

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VTC expands AI training across all programmes in Hong Kong

The Vocational Training Council (VTC) has introduced an ‘AI for All’ strategy to integrate AI training across its programmes, aiming to support Hong Kong’s ambition to strengthen its innovation and technology sector.

The initiative aligns with broader policy priorities, including the ‘AI Plus’ approach outlined in national planning frameworks and Hong Kong’s budget, which emphasise integrating AI across industries while addressing a shortage of skilled professionals.

Under the ‘AI+Professional’ model, all Higher Diploma students are required to study IT modules covering prompt engineering, generative AI, and AI ethics and security, with training adapted to disciplines such as engineering, design, and information technology.

The council has also partnered with technology companies through memorandums of understanding. It provides ongoing training for employees in government and industry, while offering internal AI tools and a ‘Virtual Tutor’ platform to support teaching and learning.

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Meta unveils TRIBE v2 brain modelling AI

TRIBE v2 is a next-generation AI model introduced by Meta, designed to simulate how the human brain responds to complex stimuli such as images, sounds and language. The system functions as a digital twin of neural activity, enabling high-speed and high-resolution predictions of brain responses.

Built on data from over 700 volunteers, TRIBE v2 analyses fMRI recordings to predict brain responses to media such as videos, podcasts, and text. The model improves significantly on previous approaches, offering higher accuracy and the ability to generalise across new subjects, tasks, and languages.

Meta says the system could enable brain studies without human participants in every experiment, potentially accelerating research into neurological conditions. The approach may also support future AI development by incorporating principles derived from neuroscience.

Alongside the launch, Meta has released a research paper, model code, and interactive demo under a non-commercial licence to encourage wider exploration and collaboration in neuroscience and AI research.

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Mistral AI launches open-source voice model for enterprises

Mistral AI has introduced a new open-source text-to-speech model designed to power voice assistants and enterprise applications, rather than relying on proprietary solutions.

The model, named Voxtral TTS, marks the company’s entry into the competitive voice AI market alongside players such as OpenAI and ElevenLabs.

Voxtral TTS supports nine languages, including English, French, German, Spanish, and Arabic, allowing organisations to deploy multilingual voice systems across different markets.

The Mistral AI model is designed to operate efficiently on devices such as smartphones, laptops, and even wearables, reducing infrastructure costs rather than relying on large-scale cloud systems.

It can replicate custom voices using only a few seconds of audio, capturing accents and speech patterns while maintaining consistency across languages.

The system is optimised for real-time performance, delivering rapid response times and enabling applications such as live translation, dubbing, and customer engagement tools.

Built on a compact architecture, it balances efficiency with high-quality output, aiming to produce natural-sounding speech instead of robotic voice synthesis. Earlier releases of transcription models suggest a broader strategy to develop a full suite of voice technologies.

Looking ahead, Mistral AI plans to expand towards end-to-end multimodal systems capable of handling audio, text, and image inputs within a single platform.

The company’s focus on open-source development and customisation is intended to attract enterprises seeking flexible solutions, positioning its technology as an alternative to closed ecosystems in the growing voice AI market.

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