Concerns Over AI Impact on Human Intelligence
The Royal Observatory Greenwich has issued a warning that the increasing use of AI tools capable of providing instant answers to questions and complex problems could potentially diminish human intelligence.
The Observatory, recognized as one of the United Kingdom's oldest purpose-built scientific institutions, is renowned for its significant contributions to the field of astronomy.
Paddy Rodgers, director of the Royal Museums Greenwich group, which manages the Observatory, emphasized the institution's extensive history of research as evidence of the power of human knowledge and curiosity. He highlighted the importance of avoiding "complete dependence" on artificial intelligence.
"A reliance solely on instant answers risks losing the habits of questioning and evaluation that underpin knowledge, expertise and innovation,"
Rodgers made these remarks in the context of an ongoing transformation project at the Royal Observatory known as First Light.
The First Light project aims to harness the passion of astronomers over the past 350 years and interpret that enthusiasm through scientific exploration, Rodgers explained in an interview with the BBC.
He noted that the discoveries made throughout the Observatory's history were not only enabled by technological innovation but also by the human process of asking questions, seeking answers, and encountering unexpected information—elements that AI systems might not effectively replicate or communicate.
According to Rodgers, early astronomers compiled extensive data about the heavens, which later proved invaluable for purposes they had not originally anticipated.
"Their work involved doing unnecessary things 'a machine would not do',"
he told the BBC.
"The human beings did, and it ended up being a huge resource that could be used 150 years after they had written it up to help to verify ideas that people were having about what else impacted navigation on Earth."
AI’s Role in Scientific Discovery
While the Royal Observatory cautions against overreliance on AI, the technology has also been instrumental in advancing scientific discoveries.
In 2024, computer scientist Sir Demis Hassabis was awarded the Nobel Prize in Chemistry for groundbreaking work involving proteins, the fundamental building blocks of life.
Sir Demis, who is the chief executive of DeepMind, Google's AI research company, utilized AI to predict the structures of nearly all known proteins and developed a tool called AlphaFold2.
Reid Hoffman, co-founder of LinkedIn and a venture capitalist, described AI as a transformative force for "cognitive excellence."
"Use it as a counter-agent,"
he recently told the BBC's Radical podcast.
"E.g. 'What's wrong with my idea?' One of the basic things to use AI [for] is 'I think X, are you against it?'"
Academics and students have also reported benefits from using AI in research, including challenging ideas and collaboratively working through solutions.
A lecturer at Oxford Brookes University told the BBC in June that,
"when used responsibly, AI tools enable students to direct their attention to the more important parts of learning and improve their self-development."
However, the lecturer cautioned that simply "outsourcing their thinking" to AI would expose the technology's limitations.
Limits Versus Promise of Generative AI
Generative AI products capable of responding to increasingly complex prompts with text, images, video, or audio continue to develop rapidly.
Chatbots have evolved from basic assistants into conversational companions, image generators have become highly proficient at producing photorealistic content, and advanced models have even revealed decades-old software bugs.
These technological advances have been met with both praise and scrutiny, accompanied by warnings about the limitations of the technology and the risks of overreliance.
Rodgers compared the current situation to earlier online tools such as Wikipedia, stating,
"if you were interested in something you could perhaps go back to a fundamental source and check it... and see whether or not you found something that was reliable."
He added that quick AI responses may omit such source information, resulting in users becoming increasingly distanced from verifiable or relatable data.
Dr Anuschka Schmitt, assistant professor of information systems at the London School of Economics, noted that,
"the harmful and unintended consequences of technology, including overreliance, are nothing new."
However, she observed that conversational AI systems capable of performing many tasks in a human-like manner have,
"dramatically reduced the barrier for humans to forego cognitive effort and engagement for work, learning, and leisure,"
in an interview with the BBC.
Dr Schmitt highlighted research on "cognitive outsourcing," which shows how competencies, memory, and learning can be quickly but negatively affected by contemporary AI use. She stressed the importance of carefully considering when and where to employ AI tools.
Despite these concerns, generative AI tools that provide information without requiring users to seek it themselves are becoming increasingly prevalent.
For example, AI Overviews have replaced snippets or lists of links at the top of Google search results, and similar experimental features are appearing on social media platforms such as TikTok and X.
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