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Joseph Weizenbaum

By: Adam Wessell

Joseph Weizenbaum, born in Berlin, Germany on January 8th,1923, was a revolutionary computer scientist who is widely known as one of the fathers of Artificial intelligence. At age 13, Weizenbaum’s family immigrated to the United States. He enrolled at Wayne University in 1941 to study Mathematics, only to be drafted into the U.S. Army the same year due to World War II. He spent his service as a meteorologist in the US Army Air Corps.[1] After his service ended, he continued his education at Wayne University and eventually earned a master’s degree in Mathematics in 1950. This university had one of the first experimental computers. His exposure to this new technology made him realize the enormous potential that computing had in shaping the future of humanity. Throughout the 1950’s, Weizenbaum worked for a variety of companies including General Electric and Bank of America. At both of these jobs, he worked on groundbreaking developments in computing. This included the world’s first banking software (called ERMA)[2] and a computer programming language called SLIP (Symmetric List Processor) that was used for list-processing using doubly linked lists.[3] Due to his accomplishments, he was offered a spot as a professor at MIT in 1964.


While employed at MIT, Weizenbaum created the first natural language processor capable of having a “meaningful” conversation. This program was named ELIZA, named after a girl portrayed as “perfect” in George Bernard Shaw's play Pygmalion.[4] The program was created utilizing SLIP and was based on Rogerian psychology (a method used by therapists that employs asking open-minded questions to patients). ELIZA was such a fundamental breakthrough in early Artificial intelligence because it actually interacted with humans on a social level. This new technology also worried people because of the shocking realization

that computers were capable of doing things previously only thought of as strictly human capabilities. Weizenbaum was skeptical of this worry and believed that Artificial intelligence would never equate to human decision-making and free will. This is where the Turing Test comes in. The Turing Test consists of determining whether or not a machine is convincing enough to trick a human into thinking it is a machine. During this test, a human communicates with a human and a machine; if the he/she is not able to distinguish the two, the machine passes the test. For many people, ELIZA certainly passed the Turing test; Weizenbaum began to realize that many ELIZA users were opening their hearts to the program, as if it were a human therapist. This troubled Weizenbaum, which caused him to deeply reconsider the philosophical implications of AI. This worry inspired him to write a book entitled Computer Power and Human Reason, which outlined emphasized his belief that AI should never be in charge of making important decisions.[5]

 

In addition to his worries about AI as a whole, Weizenbaum frequently spoke of the dangers of allowing the military to have open access to potentially destructive technology. He was a huge advocate of utilizing breakthroughs in technology as a means to support humanitarian efforts, not war. “It cannot go on without us! Without us the arms race, especially the qualitative arms race, could not advance another step” Weizenbaum once wrote in a 1986 article, addressing scientists involved in the creation of war-driven technology.[6] During the Vietnam War, he partook in protests at MIT against further research of weapons taking place there.[7] Much of the research conducted at MIT contributed to the creation of weapons used in the war, and Weizenbaum believed that scientists had a moral responsibility to prevent this from happening.

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Weizenbaum will be solidified in history as one of the fathers of Artificial Intelligence due to his contributions to the field. ELIZA is still one of the fundamental backbones of modern computing technology. According to Chatbots Magazine, there is a long running joke among programmers that states “no computing platform is complete until someone implements ELIZA on it”.[8] This fundamental building block of programming has inspired numerous language-recognition/chatbot technologies. One example is the infamous Siri of the iPhone, which actually includes ELIZA in some of her phrases. When asked “who is ELIZA?”, Siri will respond with “ELIZA is my good friend. She was a brilliant psychiatrist, but she’s retired now.” This is just one of many of Weizenbaum’s creations that has penetrated almost 70 years to some of the most used pieces of modern technology, demonstrating the tremendous impact this man has had on modern world.

 

Source: scan.net.au

References

[1] "Professor Joseph Weizenbaum: Creator of the 'Eliza' Program." The Independent. October 22, 2011. Accessed January 30, 2019. https://www.independent.co.uk/news/obituaries/professor-joseph-weizenbaum-creator-of-the-eliza-program-797162.html.

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[2] "Joseph Weizenbaum b. 1923." Research Areas | UMD Department of Computer Science. Accessed January 30, 2019. https://www.cs.umd.edu/hcil/muiseum/weizenbaum/joseph_page.htm.

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[3] "Programming Languages - S." Computer Programming Languages - S. Accessed January 30, 2019. http://www.heuse.com/s.htm.

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[4] "Joseph Weizenbaum Writes ELIZA: A Pioneering Experiment in Artificial Intelligence Programming1964 - 1966." The Suanpan (Circa 1200) : HistoryofInformation.com. Accessed January 30, 2019. http://www.historyofinformation.com/detail.php?entryid=4600.

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[5] Weizenbaum, Joseph. Computer Power and Human Reason: From Judgment to Calculation. San Francisco, Ca.: S.H. Freeman, 1991

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[6] Henderson, Harry. Artificial Intelligence: Mirrors for the Mind. New York, NY: Chelsea House Publ., 2007.

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[7] Rising, David. "AI Pioneer Joseph Weizenbaum Dies." NBCNews.com. March 13, 2008. Accessed April 11, 2019. http://www.nbcnews.com/id/23615538/ns/technology_and_science-innovation/t/ai-pioneer-joseph-weizenbaum-dies/#.XK6lietKjOQ.

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[8] Boutin, Paul. "What Marketers Can Learn From a 1964 Bot – Chatbots Magazine." Chatbots Magazine. February 17, 2017. Accessed January 30, 2019. https://chatbotsmagazine.com/what-marketers-can-learn-from-a-1964-bot-6975871df45d.

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