All Thinkers

Alan Turing

Alan Turing was an English mathematician, codebreaker, and founder of modern computer science. He was born in London on 23 June 1912. His father worked in the Indian Civil Service, which meant Turing's parents spent much of his childhood abroad. He and his older brother were often raised by foster families in England. As a boy he was shy, odd, and brilliant at mathematics. He studied at King's College, Cambridge, and then earned a PhD at Princeton in 1938. In 1936, while still a student, he wrote a paper called On Computable Numbers. It described an imaginary machine that could follow simple rules to perform any calculation. This imaginary machine, now called a Turing machine, became the theoretical foundation of every modern computer. When the Second World War began in September 1939, Turing joined the British codebreaking centre at Bletchley Park. He helped design a machine called the Bombe, used to break the German Enigma code. His work is thought to have shortened the war by years. He was awarded the OBE in 1945. After the war, Turing worked on building real computers in London and Manchester. In 1950 he proposed the Turing test, a way of asking whether a computer could think. He also began work on mathematical biology. In 1952, Turing was prosecuted for being gay, which was then illegal in Britain. He was forced to take hormone treatment as punishment. He died on 7 June 1954, aged 41, from cyanide poisoning. His death was ruled a suicide. In 2013 he received a formal royal pardon.

Origin
United Kingdom
Lifespan
1912-1954
Era
20th Century
Subjects
Mathematics Computer Science Artificial Intelligence Cryptography Lgbtq History
Why They Matter

Turing matters for three reasons. First, he is one of the founders of modern computer science. His 1936 idea of a 'universal machine' that could follow any set of rules became the theoretical basis for every digital computer. When you use a phone, a laptop, or a search engine, you are using a descendant of Turing's idea. He also helped design some of the first working computers after the war. Computer scientists honour him with the Turing Award, often called the Nobel Prize of computing.

Second, his wartime work may have saved millions of lives. At Bletchley Park he led the team that broke German naval Enigma. This allowed British ships to avoid German submarines in the Battle of the Atlantic. Historians estimate the codebreaking effort shortened the war by two to four years. For most of Turing's life, his contribution was kept secret. The story of Bletchley Park was not fully released until the 1970s. He died before most people knew what he had done.

Third, his personal story changed public thinking about the treatment of gay people. He was convicted in 1952 for a consensual relationship with another man. He was given a choice between prison and hormone treatment and chose the treatment. He died two years later. His case became a symbol of how unjust laws against gay people had been. In 2013 the British Queen granted him a royal pardon. In 2017 Britain passed the 'Alan Turing law', which pardoned thousands of other men convicted under the same rules.

Key Ideas
1
The Turing Machine
2
Breaking Enigma
3
Can Machines Think? The Turing Test
Key Quotations
"We can only see a short distance ahead, but we can see plenty there that needs to be done."
— Computing Machinery and Intelligence, 1950, closing line
This is the last line of Turing's famous 1950 paper introducing the Turing test. He had just proposed that machines might someday be able to think like humans. But he did not claim to know how. He simply pointed at the huge amount of work ahead. For students, the line is a modest but hopeful end to a bold paper. It is a good motto for any scientific field. We cannot see everything. We can see enough to start.
"Those who can imagine anything can create the impossible."
— Widely attributed to Turing, though not confirmed in his published writings
This line is often used on posters, T-shirts, and in speeches about Turing. Whether he actually said it is not certain. No source document has been found. Even so, it captures something true about his way of working. His universal machine existed only in his head in 1936. Twelve years later, real computers began to appear. Imagination had created something once thought impossible. For students, the quote is a useful reminder that big changes often start as someone's careful, imaginative thought. But it is also a useful lesson about checking sources: even famous 'Turing quotes' may not be his.
Using This Thinker in the Classroom
Scientific Thinking When introducing students to what a computer actually is
How to introduce
Ask students what a computer is. Most will describe physical machines: laptops, phones, consoles. Then introduce the Turing machine. Turing showed that what makes a computer is not the physical form. It is the ability to follow written instructions step by step. A laptop, a phone, and a supercomputer are all versions of his imaginary machine. This helps students see computing as an idea, not just a gadget. It also prepares them for the big shift from old computers to new ones, smartphones to AI.
Problem Solving When teaching students about systematic problem-solving
How to introduce
Tell students the Enigma story. Turing did not crack the code by a flash of genius. He and his team built a machine that could test millions of possible settings fast. The Bombe ruled out the wrong answers until only the right one remained. Ask students: what problems in your own life could be broken down like this? Cleaning a room, finding a lost thing, checking a long piece of homework. Turing's method was careful, systematic, and based on good machines. This is a useful approach in many parts of life.
Critical Thinking When discussing artificial intelligence
How to introduce
Ask students: could a machine ever really think? What would that look like? Introduce the Turing test. Turing said that instead of asking whether machines can think, we should ask whether they can fool us into thinking they are human. Today's chatbots can sometimes do this for short conversations. Does this mean they are thinking? Students will disagree. This is a good discussion that connects a 1950 idea to something they see on their phones every day.
Further Reading

For a first introduction, the 2014 film The Imitation Game is widely seen but takes many liberties with history. Andrew Hodges's biography Alan Turing: The Enigma (1983) is the classic and careful life story, readable but long. For a shorter start, David Leavitt's The Man Who Knew Too Much (2006) is clear and accessible. The Bletchley Park website has good short introductions to his war work. The BBC series Codebreakers covers the wider story well.

Key Ideas
1
On Computable Numbers (1936)
2
Bletchley Park and the Unknown Victory
3
Morphogenesis: The Mathematics of Living Things
Key Quotations
"Sometimes it is the people no one can imagine anything of who do the things no one can imagine."
— This line is from the 2014 film The Imitation Game, not from Turing himself; often misattributed to him
This memorable line was written for the 2014 film about Turing. Many people now quote it as if Turing said it. He did not. The line is a screenwriter's creation. Still, it has an honest connection to his life. Turing was an unusual child, a shy and awkward adult, and a man who did not fit the expectations of his society. He did extraordinary things anyway. For students, the quote is a good conversation starter and a lesson in how films shape public memory. Always check where a 'famous quote' really comes from. Sometimes the answer is: a Hollywood screenplay.
"I propose to consider the question, 'Can machines think?'"
— Computing Machinery and Intelligence, 1950, opening line
This is the first sentence of the paper that introduced the Turing test. Turing wastes no time. He asks the biggest question about artificial intelligence in the opening line. The rest of the paper argues that this question, as asked, is not quite right. The word 'think' is hard to define. Turing replaces it with a practical test: can a machine fool a human questioner into thinking it is also human? For students, the quote is a good example of how a clever thinker handles hard questions. Start with the big question. Then reshape it into a form that can actually be answered.
Using This Thinker in the Classroom
Ethical Thinking When studying how laws can be unjust
How to introduce
Tell students about Turing's 1952 prosecution. A man who had helped save Britain from Nazi Germany was convicted and punished for his private relationship with another consenting adult. Ask students: what does this story tell us about law and justice? Legal and right are not always the same. A law can be technically correct and morally monstrous. This discussion applies to many other cases in history and today. It also connects to the long fight for LGBTQ+ rights, which Turing's case helped advance decades after his death.
Creative Expression When teaching about films based on real lives
How to introduce
Many students have seen the 2014 film The Imitation Game, starring Benedict Cumberbatch as Turing. Discuss how films handle real history. What do they get right? What do they simplify or invent? The famous line 'those who can imagine anything can create the impossible', often quoted as Turing's, comes from this film's screenplay. This teaches students to appreciate films about real people without mistaking them for strict history. The truth is usually more complex, and sometimes more interesting.
Further Reading

For deeper reading, Andrew Hodges's biography remains essential; the updated 2014 edition has important new material. Dermot Turing's Prof: Alan Turing Decoded (2015), by his nephew, gives a family perspective. Jack Copeland's edited volume The Essential Turing (2004) gathers key scientific papers with commentary. For the war, Michael Smith's The Secrets of Station X and Sinclair McKay's The Secret Life of Bletchley Park are both good. For the mathematical ideas, Charles Petzold's The Annotated Turing walks through the 1936 paper step by step.

Key Ideas
1
The 1952 Prosecution
2
Death and Its Mysteries
3
Rehabilitation: Pardon, Apology, and Memory
Key Quotations
"Machines take me by surprise with great frequency."
— Computing Machinery and Intelligence, 1950
Turing is responding to a common objection to machine intelligence. Critics said machines only do what they are programmed to do; they never surprise us. Turing disagreed. He pointed out that he often built or studied a machine, expected one result, and got another. A complicated machine following rules can still produce unexpected behaviour. This is true today in ways Turing could hardly have imagined. Modern neural networks regularly surprise the scientists who build them. For advanced students, the quote connects 1950s debates about AI to present-day questions about large language models and autonomous systems. The philosophical problem Turing identified is alive now.
"Up to a point it does me good, and up to a point does me harm."
— Letter to Philip Hall about the hormone treatment, 1952 or 1953
Turing wrote this to a friend about the hormone injections he was forced to take after his conviction. He was trying to describe what the treatment was doing to him. The line is typical of his honesty and his reserve. He does not dramatise his suffering. He simply notes that the effect is mixed. By the time he wrote this, the physical side effects (including breast development) and the psychological effects of the treatment were serious. For advanced students, this quote is a quiet, terrible window into what a gifted man lived through as his own state punished him for who he was. Great quotes are not always eloquent. Sometimes they are just painfully accurate.
Using This Thinker in the Classroom
Ethical Thinking When discussing how societies make amends for past injustice
How to introduce
In 2013 Queen Elizabeth II pardoned Turing. In 2017 Britain passed a law pardoning thousands of other men convicted under the same rules. Many had already died. Ask students: can a late pardon undo past harm? What does a state owe to people it has wronged? What is the difference between an apology and real change? These are serious questions. Turing's case is one example. Similar questions apply to many other histories: slavery, residential schools, colonial violence, civil rights abuses. There are no easy answers, but the questions are important.
Scientific Thinking When exploring how pure mathematics leads to practical technology
How to introduce
Turing's 1936 paper answered a pure mathematics question. It had no obvious practical use at the time. Twelve years later, it was the theoretical foundation of the first working computers. Seventy years later, his idea powers phones, the internet, and AI. Ask students: why is pure research important, even when no one can see how it will be useful? Many of today's technologies started as someone's abstract question. Cutting funding for pure research often looks like savings. It can also mean missing the next Turing. This is a practical lesson for future citizens thinking about science policy.
Common Misconceptions
Common misconception

Turing cracked Enigma single-handedly.

What to teach instead

He did not. Polish mathematicians had already done important early work on Enigma in the 1930s and shared their findings with the British in 1939. At Bletchley Park, Turing led an effort that involved many other brilliant people including Gordon Welchman, Dilly Knox, Joan Clarke, and thousands of staff, many of them women from the Women's Royal Naval Service. Turing's contribution was crucial, but the Enigma story is a team story. Films that focus on him alone simplify the truth and erase the work of his colleagues.

Common misconception

Turing chose chemical castration because he preferred it to prison.

What to teach instead

This is technically true but misleading. He was given a choice between two punishments, both unjust. Imprisonment would have ended his scientific career and made further research impossible. The hormone treatment left him free to work, at the cost of serious physical and psychological harm. He chose the option that let him keep thinking. Framing this as a real choice implies the system was offering him something reasonable. It was not. Both options were punishments for having a consensual relationship with another adult.

Common misconception

Turing invented the first computer.

What to teach instead

He did not build the first computer. Several people contributed to early computers in different countries and forms. What Turing did was provide the theoretical foundation. His 1936 Turing machine is the mathematical model of what a computer is. He also helped design some of the first working British computers after the war. 'Founder of computer science' is accurate. 'Inventor of the computer' is not quite right. Computing, like most major technologies, is a team achievement across decades and countries.

Common misconception

The royal pardon and the Alan Turing law made things right.

What to teach instead

They acknowledged past wrong but did not undo it. Turing died in 1954. Many of the men pardoned under the 2017 law had already died by then. The pardons do not compensate anyone. They do not restore lost careers, ruined marriages, or years in prison. They are moral statements, not full repair. Honest history recognises that late pardons are important but limited. Real repair would have required not passing the laws in the first place, or ending them much sooner.

Intellectual Connections
Develops
Ada Lovelace
Lovelace, writing in 1843, was the first to describe how a machine could follow general instructions, not just do arithmetic. Turing, a century later, made this idea rigorous and proved how far it could go. Both thinkers are considered founding figures of computer science. Both understood machines could do more than calculate. Turing explicitly cited Lovelace in his 1950 paper on machine intelligence. Their connection is one of the deepest in computing history.
In Dialogue With
Grace Hopper
Hopper worked on the first American computers at about the same time Turing worked on the first British ones. She developed programming languages and tools that made computers accessible to many more people. Both she and Turing turned Lovelace's idea into practical reality. Where Turing focused on theory and codebreaking, Hopper focused on programming and usability. Reading them together gives students the full story of how early computing took shape on both sides of the Atlantic.
Develops
Isaac Newton
Both Turing and Newton were English mathematicians whose work changed the understanding of how the physical world could be described by rules. Newton showed that the motions of planets and falling apples followed the same mathematical laws. Turing showed that any process which could be followed as a set of rules could also be carried out by a machine. Both opened up whole new fields through careful abstraction. Their places in British scientific history are comparable, though Turing's recognition came far later than Newton's.
In Dialogue With
Bertrand Russell
Russell, the earlier Cambridge philosopher and logician, had tried with Alfred North Whitehead to show that all of mathematics could be reduced to logic. Turing grew up within this tradition. His 1936 paper answered a technical question that came out of Russell's programme. Turing's answer was surprising: mathematical logic has real limits. No single procedure can solve every problem. Reading Turing alongside Russell gives students the philosophical context in which modern computer science was born.
Anticipates
Audre Lorde
Turing did not write about the politics of being gay. He lived it privately and paid the price. Lorde, writing decades later in the United States, explicitly made her lesbian identity part of her writing and public voice. The distance between them measures how much the world changed. Turing's persecution and death helped make Lorde's openness possible. Reading them together connects twentieth-century LGBTQ+ history across time and place, from the silent genius who could not speak to the defiant poet who insisted on being fully herself.
Influenced
Herbert Simon
Simon, the American scientist of cognition and organisation, built much of his early work on Turing's ideas. He and Allen Newell created the Logic Theorist in 1956, often called the first artificial intelligence program. They saw their work as directly continuing Turing's 1950 vision. Simon won a Nobel Prize for economics in 1978 and a Turing Award in 1975. He represents the path from Turing's theoretical proposals to the working AI research programmes of the late 20th century.
Further Reading

For research-level engagement, Turing's Collected Works (edited by J. L. Britton, P. T. Saunders, D. C. Ince, and others) gather his scientific output. Jack Copeland's academic work on Turing is extensive and careful. For the philosophy of mind, Turing's 1950 paper repays rereading alongside later work by John Searle, Daniel Dennett, and others. For the legal history, Chris Bryant's The Glamour Boys and Peter Wildeblood's Against the Law (1955) give wider context on the persecution of gay men in mid-20th-century Britain. The journal Philosophia Mathematica publishes ongoing scholarship on Turing's mathematical logic.