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Zuckerberg and Chan Commit $500 Million to AI Project Aimed at Mapping Human Cells

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A major new initiative led by Mark Zuckerberg and Priscilla Chan is set to push the boundaries of artificial intelligence in biology, with a $500 million investment aimed at building detailed AI models of human cells.

The project, announced by their research organisation Chan Zuckerberg Biohub, will run over five years and seeks to create the tools and datasets needed to simulate how human cells function in both healthy and diseased states. The group says the data generated will be made freely available to scientists around the world.

Researchers involved in the effort believe that AI-powered models could transform the study of disease by allowing experiments to be conducted digitally at a scale not currently possible in laboratories. If successful, such models could help uncover how diseases develop and guide the creation of new treatments.

The Biohub was founded in 2016 to bring together engineers and scientists to better understand biology at the cellular level. Since then, it has built extensive datasets focused on individual cells and developed computing systems designed for biological research.

The latest investment includes $400 million allocated to internal work and an additional $100 million set aside to support external researchers. Among the project’s partners is Nvidia, which will contribute expertise in high-performance computing.

According to Biohub scientists, one of the biggest challenges facing the project is the need for vast amounts of data. AI systems become more accurate as they are trained on larger and more detailed datasets, but current biological data remains limited.

Alex Rives, the organisation’s head of science, said new technologies will be required to observe cells in greater detail, from molecular structures to how they behave in tissues. He noted that understanding the full complexity of biology will demand far more data than is currently available.

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The initiative reflects a broader shift across the life sciences sector, where artificial intelligence is increasingly being used to speed up research and drug development. Companies and research groups are exploring how machine learning can help identify patterns in biological systems and predict how diseases progress.

Other technology firms are also expanding into this field. Isomorphic Labs is working on AI-driven drug discovery, while Microsoft has developed models for medical imaging and genomics.

Backers of the Biohub project say collaboration will be key to success, with hopes that additional funding from other organisations will help expand the effort. The long-term goal is ambitious: to use the combination of AI and biology to improve understanding of disease and accelerate the development of treatments on a global scale.

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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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