Kevin Warwick

• 1. Introduction

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  Kevin Warwick left school in Coventry at the age of 16 to take an apprenticeship with British Telecom. By middle age, he had implanted electronic devices into his own nervous system, connected his brain signals to the internet, and enabled the first direct electronic communication between two human nervous systems. Along the way, he earned a nickname from the technology press that has stuck for decades: Captain Cyborg.

  Warwick was born on the 9th of February 1954 in Keresley, Coventry, and grew up in the village of Ryton-on-Dunsmore in Warwickshire. The apprenticeship route was an unusual start for someone who would eventually receive honorary doctorates from ten universities and deliver the Royal Institution Christmas Lectures. He returned to formal education, earning his first degree at Aston University in 1976, then a PhD and a research position at Imperial College London.

  What drives Warwick is a belief that machines are already outperforming humans in sensorimotor terms, and that the gap will only widen. He has said plainly: "There is no way I want to stay a mere human." That conviction shapes every project he has touched, from robot cats to neural implants to Turing test competitions at Bletchley Park.

• 2. The Cyborg Experiments

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  On the 24th of August 1998, a surgeon placed a simple RFID transmitter beneath the skin of Kevin Warwick's arm. Warwick's goal was straightforward: find out what the body would tolerate and whether a useful signal could be read from a microprocessor sitting inside it. Doors opened as he walked toward them. Lights switched on. Heaters responded to his proximity.

  That first stage was a proof of concept. The second stage was far more ambitious. On the 14th of March 2002, at the Radcliffe Infirmary in Oxford, a device called a BrainGate sensor was implanted under local anaesthetic directly into Warwick's nervous system via the median nerve in his left wrist. The BrainGate was a silicon square roughly 3mm wide, connected to an external unit housing supporting electronics. The implanted array contained 100 electrodes, each as thin as a human hair, though only 25 could be accessed at any one time.

  The results were detailed enough to allow a robot arm, developed by Warwick's colleague Dr. Peter Kyberd, to mirror the movements of Warwick's own arm. By connecting his nervous system to the internet at Columbia University in New York, Warwick was then able to operate that robot arm remotely from the University of Reading and feel feedback from sensors placed in its fingertips. He also attached ultrasonic sensors to a baseball cap, giving himself a functional form of distance perception beyond normal human senses.

  A parallel experiment involved a simpler array implanted into the arm of Warwick's wife. The two implants communicated electronically over a distance, producing what the research team described as the first direct, purely electronic exchange between two human nervous systems. Testing afterward using the University of Southampton's Hand Assessment Procedure showed no measurable damage to Warwick's hand function and no sign of the body rejecting the device.

  The experiments were designed and built by Dr. Mark Gasson and his team at the University of Reading, and they generated both intense interest and pointed criticism. Warwick and his colleagues argued the work points toward medical tools for repairing damaged nervous systems, as well as the more ambitious forms of human enhancement Warwick openly champions.

• 3. Robots With Biological Brains

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  Warwick directed a project funded by the Engineering and Physical Sciences Research Council that took an unusual approach to robot intelligence: instead of writing software, the team cultivated living neural networks in a dish and used patterns of electrical activity from those networks to control mobile robots. Each robot's decision-making was effectively provided by a biological brain.

  An earlier AI project took a lighter-hearted form. Warwick helped develop a genetic algorithm named Gershwyn, designed to produce popular songs by analysing what had made previous hits successful. Gershwyn appeared on the BBC's Tomorrow's World and was used to create music for a group called Manus, made up of the four younger brothers of Elvis Costello.

  The 1999 edition of the Guinness Book of Records noted that Warwick had conducted the first robot learning experiment to use the internet as its transmission medium. A robot at the University of Reading with an artificial neural network learned to navigate without collisions, then taught another robot at SUNY Buffalo in New York the same skill via the internet. The American robot was trained not by any human programmer but by its counterpart in Britain.

  Not all of Warwick's robots behaved as expected. One machine, given a degree of independence, appeared to "commit suicide" when it could not adapt to its surroundings. The observation raised serious questions about self-organisation: whether synthetic devices, if sufficiently complex, might develop something analogous to natural selection. Francisco Varela and Humberto Maturana had theorised about such behaviour; Warwick's experiments brought those theories into direct experimental contact with actual machines.

• 4. Hissing Sid and Other Machines

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  Hissing Sid was a robot cat that Warwick took on a British Council lecture tour of Russia, presenting it at venues including Moscow State University. The cat had been assembled as a student project, and its name came from the hissing sound produced by the pneumatic actuators that drove its legs. Sid appeared on BBC television's Blue Peter, but achieved wider fame when British Airways refused to allow it on board a flight on the grounds that animals were not permitted in the cabin.

  Another machine connected to Warwick's career was a robotic chair used on BBC television's Jim'll Fix It. Built from a SCARA-form UMI RTX arm, the chair served tea to the show's host, Jimmy Savile, and stored Jim'll Fix It badges for distribution to guests. Warwick appeared on the programme himself as part of a robot-themed Fix-it segment.

  Warwick was also involved in the development of a family of robots called the Seven Dwarves. A version of one was sold in kit form as Cybot through Real Robots magazine beginning in 2001. The magazine guided readers through the assembly and programming of the robot over successive issues, positioning Cybot as a machine capable of making its own decisions.

  The robot head Morgui carried five sensing modes: vision, sound, infrared, ultrasound, and radar. The University of Reading Research and Ethics Committee rated the head X for its image storage capabilities, requiring parental approval for anyone under 18 who wanted to interact with it.

• 5. The Turing Test Contests

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  Warwick served as a Turing Interrogator at the Loebner Prize competitions in 2001 and 2006. The Loebner Prize offers a platform for what Alan Turing called the imitation game: judges converse by text with both a human and a machine, then try to tell them apart. The 2001 competition, held at the London Science Museum, used one-to-one tests and was won by the chatbot A.L.I.C.E. The 2006 contest at University College London used parallel-paired tests and was won by a program called Rollo Carpenter.

  In 2012, Warwick and Huma Shah co-organised a series of Turing tests at Bletchley Park, the wartime codebreaking site where Turing himself had worked. Warwick participated as a hidden human, meaning he sat on one side of the conversation pretending to be a machine. One paper arising from those tests, titled "Human Misidentification in Turing Tests", became one of the three most-downloaded papers in the Journal of Experimental and Theoretical Artificial Intelligence.

  In June 2014, Warwick and Shah staged a further series of tests at the Royal Society in London to mark the 60th anniversary of Alan Turing's death. A chatbot called Eugene Goostman successfully convinced more than 30 percent of judges that it was a human, on the basis of five-minute text conversations. Warwick called this a "milestone" and described it as the first time a program had passed the Turing test.

  The claim drew substantial criticism. Sceptics noted that Eugene Goostman presented itself as a young, non-native English speaker, which gave it cover for grammatical inconsistencies. Others argued that earlier programs had achieved comparable results under more constrained conditions, though those earlier tests had restricted the range of permitted topics whereas the 2014 event placed no limits on the conversation. Editor and entrepreneur Mike Masnick criticised Warwick specifically for overstating Eugene Goostman's significance to the press. A paper collecting the full transcripts from the Royal Society event also ranked among the three most-downloaded papers in the Journal of Experimental and Theoretical Artificial Intelligence.

• 6. Public Voice and Controversy

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  When Warwick presented the Royal Institution Christmas Lectures in December 2000, titled Rise of the Robots, the response was divided before he even spoke. British computer scientist Simon Colton, a Professor of Computational Creativity, publicly objected to the choice of Warwick, arguing that he was not a legitimate spokesman for artificial intelligence and that giving him the Christmas Lectures platform posed a risk to public understanding of the field. Colton was particularly direct about Warwick's claims that computers could be creative.

  The lectures themselves received warmer responses from attendees. Ralph Rayner wrote to note that he had attended all of the lectures with his youngest son, found them balanced and thought-provoking, and explicitly stated they were not sensationalist.

  In August 2002, shortly after the Soham murders, Warwick publicly offered to implant a tracking device into an 11-year-old girl as an anti-abduction measure. The proposal produced a split reaction: many parents were supportive, while children's societies raised ethical objections. The plan was not pursued.

  Warwick's broader work on human enhancement attracted formal attention from the USA President's Council on Bioethics and the USA President's Panel on Forward Engagements. The Institute of Physics uses the ethical dilemmas raised by his experiments as case study material for students in Advanced level and GCSE science courses. In 2005, members of the UK Parliament tabled an early day motion congratulating Warwick for his work in drawing students toward science and for teaching in a way that made the subject feel relevant to careers.

• 7. Credentials and Reach

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  By the age of 40, Warwick had received Doctor of Science degrees from both Imperial College London and the Czech Academy of Sciences in Prague, covering research in two entirely separate fields. The ten honorary doctorates he has since received come from institutions across the UK and internationally, including Aston University, Bradford University, Edinburgh Napier University, and Galgotias University.

  His fellowship memberships include the Institution of Engineering and Technology and the City and Guilds of London Institute. In 2004 he held the position of Senior Beckman Fellow at the University of Illinois. He holds visiting professorships at the Czech Technical University in Prague, the University of Strathclyde, Bournemouth University, and the University of Reading, and sits on the advisory boards of the Instinctive Computing Laboratory at Carnegie Mellon University and the Centre for Intermedia at the University of Exeter.

  The awards span several decades: the Future Health Technology Award in 2000, the IET Achievement Medal in 2004, the Mountbatten Medal in 2008, and the Ellison-Cliffe Medal from the Royal Society of Medicine in 2011. In 2014 he was elected to the European Academy of Sciences and Arts. In 2018 he was inducted into the International Academy for Systems and Cybernetic Sciences.

  Warwick also contributed to work on deep brain stimulation for Parkinson's disease alongside Tipu Aziz's team at John Radcliffe Hospital, Oxford, and John Stein of the University of Oxford. The aim of that collaboration was to build a device that would predict when stimulation was needed and deliver it before tremors began, rather than applying a continuous signal. Recent work in that area also pointed toward the possibility of distinguishing between different types of Parkinson's disease.