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AI Study Raises Privacy Questions After Chat Data Reveals Personality Traits

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A new study by researchers at ETH Zurich has found that artificial intelligence can predict key personality traits by analyzing conversations people have with chatbots, raising fresh concerns about privacy and the growing amount of personal data shared online.

The research, published as a pre-print study, examined whether AI systems could identify psychological characteristics from user interactions with chat platforms such as ChatGPT. Researchers collected chat histories from 668 users in the United States and the United Kingdom who agreed to share their conversations for the project.

More than 62,000 chat exchanges were analyzed and grouped according to topic and communication style. Using this information, researchers trained an AI model to estimate whether users displayed traits linked to the “Big Five” personality categories commonly used in psychology: agreeableness, conscientiousness, emotional stability, extraversion, and openness.

Participants also completed standard psychological assessments so researchers could compare the AI’s predictions with established personality test results.

According to the study, the AI model identified some personality traits with accuracy levels reaching 61 percent. The system performed best when predicting agreeableness and emotional stability, while it struggled more with conscientiousness.

Researchers said the accuracy improved when the AI had access to longer conversation histories, suggesting that extensive chatbot use may reveal more about an individual’s personality over time.

The findings add to growing debate over how personal information shared with AI systems could be used in the future. While researchers said the immediate risks for individuals appear limited, they warned that large-scale collection of personality data could create broader concerns.

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The study noted that such information could potentially be exploited in targeted advertising campaigns, political messaging, or disinformation efforts designed to influence specific groups of people.

Researchers also warned that users may not fully realize how much personal insight can be extracted from ordinary conversations with AI assistants. Topics people discuss, the language they use, and the emotional tone of messages can all provide clues about behavior and personality patterns.

The team said the results could help developers create stronger privacy protections for AI systems. One proposal involves building tools that automatically remove identifying or sensitive details from conversations before they are stored or analyzed.

As AI chatbots become increasingly common in workplaces, education, and daily life, the study is expected to fuel further discussion over how companies collect, store, and protect user data in rapidly expanding digital environments.

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Lancet Study Warns AI Misuse and Nuclear War Could Threaten Humanity by 2100

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The malicious use of artificial intelligence and nuclear conflict are among 17 major threats to global health that could put humanity at risk of extinction by 2100, according to a new assessment published in The Lancet.

The study, conducted by the Lancet Commission on 21st-century global threats to health, examines risks ranging from nuclear war and antimicrobial resistance to climate change, pandemics, income inequality, obesity, tobacco use and mental health problems.

The commission brings together 37 experts in health, economics, security and technology. Researchers assessed the potential impact of the threats across 204 countries and territories between 2025 and 2100, using disability-adjusted life years, or DALYs, to estimate the loss of healthy human life.

The measure accounts for years lost through premature death and years lived with illness or disability. The researchers used best-case and worst-case scenarios to examine how much harm each threat could cause and how preventive action might reduce the consequences.

The estimated burden across the 17 threats ranges from 1.02 billion to 23.1 billion DALYs. For comparison, the COVID-19 pandemic caused an estimated 500 million DALYs. Obesity represents the largest cumulative burden that could potentially be reduced through intervention.

The researchers warned that nuclear conflict could cause widespread destruction beyond the immediate effects of weapons, including nuclear famine resulting from the disruption of food production and supply. The malicious use of AI could also create severe dangers, including the development or deployment of biological weapons.

The commission stressed that the assessment is not intended to rank threats or prescribe a fixed order for government action. Instead, it provides a framework for understanding their potential effects, recognising that the findings will change as new evidence emerges.

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The experts said the threats are closely connected and require coordinated responses rather than separate efforts focused on individual problems. They called for a comprehensive approach based on scientific evidence, human rights and international solidarity.

One key recommendation is for governments to build health systems capable of responding quickly to major emergencies. The COVID-19 pandemic demonstrated the importance of preparedness, adequate resources and effective coordination when confronting a global crisis.

The commission also urged greater investment in potentially transformative technologies, including nuclear fusion, carbon removal and vaccines, which could help address climate change, infectious diseases and other major risks.

Regular monitoring and updated risk assessments are another priority. The researchers recommended sharing findings with international bodies, including the United Nations and the G20, to encourage governments to cooperate before emerging threats develop into full-scale crises.

According to the commission, the current competitive approach to tackling global challenges is limiting the prospects for effective action.

The findings were presented on Sunday at the World Health Summit in Berlin, Germany. The assessment is due to be updated annually to reflect new evidence, changes in existing risks and the emergence of additional threats.

The researchers said early action could help governments limit the potential damage and reduce the likelihood of the worst-case scenarios identified in the report.

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Denmark Moves to Ban Sharing of Realistic Deepfakes Without Consent

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Denmark is set to introduce legislation on Thursday that would prohibit the sharing of realistic deepfakes depicting people’s faces or voices without their consent, as governments around the world seek to address the growing risks posed by artificial intelligence.

The proposed amendment to Denmark’s copyright law would give people greater control over digital versions of their appearance and voice. The protections would apply to ordinary individuals as well as artists whose performances could be digitally copied or manipulated.

Deepfakes are digitally generated or altered images, videos and audio designed to make people appear to say or do things they did not. They have increasingly been used to spread false information, damage reputations and create humiliating or abusive material.

Denmark’s Culture Minister Zenia Stampe said the technology allows manipulated content to be produced and distributed on social media with little effort.

One of the government’s key aims is to ensure that major technology companies remove harmful manipulated material quickly, reducing the potential damage to people targeted by such content.

The legislation follows a broad political agreement reached in June 2025 under the previous Danish government. That agreement was aimed at protecting people from unauthorised digital imitations.

The proposed rules would not impose a blanket ban on digitally altered content. Exceptions would cover satire, parody, caricature and criticism of politicians, institutions and society.

Those protections would not apply where misinformation creates serious risks to other people’s rights, essential interests, lives or property.

The Danish government hopes the legislation will come into force at the beginning of 2027.

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The move comes as countries and international institutions introduce new measures to address the misuse of synthetic media.

EU member states covered by the bloc’s directive on violence against women must implement the legislation by June 14, 2027. It requires countries to criminalise the creation of sexually explicit manipulated material and its subsequent public distribution without the consent of the person depicted when the material is likely to cause serious harm.

Denmark is not bound by that directive because it has an opt-out from EU justice and home affairs rules.

France already prohibits the distribution of AI-generated images or audio depicting another person without consent when the artificial nature of the material is not obvious or clearly disclosed. French law also prohibits the non-consensual sharing of sexual deepfakes regardless of whether they are labelled as manipulated.

In England and Wales, creating or requesting non-consensual intimate deepfakes became a criminal offence in February. Sharing such material can result in a prison sentence of up to two years.

Denmark’s proposed law would add to a growing set of national measures aimed at giving individuals greater protection as increasingly realistic digital impersonations become easier to create and distribute.

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AI Agents Take Centre Stage as Qatar Expands Training and Testing

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Artificial intelligence agents that can perform tasks on behalf of users were a major focus at the Google Cloud Summit in Doha, as Qatar expands its efforts to train workers and test new AI applications.

The technology is moving beyond generative AI, which produces text, images and answers in response to prompts. AI agents are designed to take additional steps independently to complete specific tasks, creating new opportunities for businesses while raising questions about oversight and the future of work.

Alex Rutter, managing director of Google Cloud’s artificial intelligence business across Europe, the Middle East and Africa, said generative AI is primarily used to create new content through large language models. Agentic AI, by contrast, can be used to carry out processes after receiving instructions.

Rutter cited invoice reconciliation as an example. An AI agent could check information on an invoice against payment and supplier records before a payment is approved. Such repetitive work involving multiple databases could be suitable for automation, he said.

Greater autonomy also increases the need for safeguards. Rutter said Google currently recommends keeping a person involved in reviewing the results produced by AI agents. Instead of checking every piece of data, employees could focus on exceptions identified by the systems.

The level of human oversight would depend on the nature of the task and the risks an organisation is prepared to accept. In fields such as medicine, Rutter said AI should assist clinicians rather than replace their decisions.

The Doha summit also marked three years since Google Cloud opened its cloud region in Qatar. The company announced a new national training programme with Qatar Digital Academy that is expected to provide more than 50,000 learning opportunities in the country by 2030.

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The programme will target several groups, including workers, executives and software developers, as Qatar seeks to expand its pool of people with skills needed to use and manage AI technologies.

Ghassan Kosta, Google Cloud’s regional general manager for Qatar, Oman, Bahrain and Iraq, said the company was expanding its services to support the growing demands of agentic AI. He said data centre infrastructure would need to develop alongside advances in AI.

Qatar’s Ministry of Communications and Information Technology also announced an innovation lab developed with Google Cloud. The facility will allow AI projects to be tested before they are deployed more widely.

Amna Al-Kaabi, head of emerging technologies at the ministry, said the partnership was intended to connect technology experiments with practical needs in different sectors and help projects progress from early testing to real-world applications.

The increasing ability of AI systems to perform tasks is also prompting questions about employment. Rutter said it was difficult to predict the pace of change, but suggested that managing AI agents could become a responsibility for some workers.

He said future workplaces could include employees managing people, AI agents or both, although businesses are still determining which tasks can safely and effectively be assigned to autonomous systems.

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