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    Home » Growing dependence on AI systems sparks expert concern
    Tech World

    Growing dependence on AI systems sparks expert concern

    Many historic discoveries made by early astronomers were possible not only because of technological innovation but also because humans pursued answers themselves.
    News DeskBy News DeskMay 18, 2026
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    Greenwich: Royal Observatory Greenwich has warned that growing dependence on AI systems capable of instantly answering questions and solving complex problems could negatively impact human intelligence, critical thinking, and curiosity.

    The observatory, one of the United Kingdom’s oldest scientific institutions dedicated to astronomy, stressed the importance of preserving human research, analytical thinking, and scientific exploration in an era increasingly shaped by advanced AI systems.

    Paddy Rodgers, Director of Royal Museums Greenwich, said the institution’s long scientific history highlights the value of human knowledge and discovery while also demonstrating the risks of becoming overly dependent on AI systems for information and decision-making.

    The Director explained that relying entirely on instant responses generated by AI systems could weaken the habits of questioning, evaluating information, and independently exploring ideas, all of which are essential for innovation, expertise, and scientific progress.

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    According to Rodgers, many historic discoveries made by early astronomers were possible not only because of technological innovation but also because humans pursued answers themselves, investigated unexpected findings, and collected information that AI systems or machines might consider unnecessary.

    Early astronomers built extensive data records about the heavens, which later became valuable scientific resources used to support navigation studies and other discoveries decades after the information was first documented.

    Although Rodgers warned against overreliance on AI systems, he also acknowledged the important role artificial intelligence has played in advancing scientific research.

    In 2024, Demis Hassabis shared the Nobel Prize in Chemistry for groundbreaking work involving proteins using AI systems. The DeepMind chief executive developed the AlphaFold2 AI system, which predicts the structures of nearly all known proteins.

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    Meanwhile, Reid Hoffman described AI systems as a major transformation in ‘cognitive excellence,’ encouraging users to employ AI systems to challenge assumptions, test ideas, and improve decision-making rather than replace independent thought.

    Academics and educators have also highlighted the advantages of responsible AI systems in education and research, saying the technology can help students focus on deeper learning and self-development. However, experts cautioned that completely outsourcing human thinking to AI systems also reveals the technology’s limitations.

    The debate comes as generative AI systems continue evolving rapidly, producing increasingly advanced text, images, audio, and video content. AI systems are also becoming more integrated into online search engines and social media platforms through AI-generated summaries and instant-answer features.

    Rodgers warned that, unlike earlier internet tools, where users could verify information through sources, many AI systems now provide quick responses that may distance users from reliable, traceable, and verifiable information, increasing the dangers of excessive dependence on artificial intelligence.

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