Erik J. Larson
Erik J. Larson (born September 22, 1971) is an American writer, tech entrepreneur, computer scientist. He is author of The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do.[1]
He has written for The Atlantic, the Los Angeles Review of Books, and professional journals. His other projects include two DARPA-funded startups, the most recent a company that provides influence rankings for colleges and universities using an influence ranking algorithm.
Education[edit]
Larson graduated from Whitworth University in Spokane, Washington in 1994 as an All America Scholar Athlete.[2] He earned a Ph.D. in philosophy from The University of Texas at Austin in 2009, where his dissertation was a hybrid combining work in computer science, linguistics, and philosophy.[3]
Career[edit]
Dr. Erik J. Larson | |
---|---|
Born | September 22, 1971 |
💼 Occupation | Computer Scientist, Author |
Known for | Artificial Intelligence, Natural Language Processing |
In the early 2000s, Larson worked for Cycorp, home of the Cyc artificial intelligence project, on a knowledge-based approach to network security.[4] He then researched and published articles on knowledge base technology, ontology, and the Semantic Web for the Digital Media Collaboratory, a research lab founded by American businessman George Kozmetsky affiliated with the Innovation, Creativity, and Capital Institute, at The University of Texas at Austin.[5][6][7][8] He founded his first company, Knexient, in 2009 with funding from DARPA to process open source text documents using his Hierarchical Document Classifier algorithm.[9] Larson later co-founded Influence Networks after developing an algorithm to produce web-based rankings of colleges and universities with funding from DARPA.[10] The algorithm is the foundation for the AcademicInflunce.com InfluenceRanking Engine.[11][12] In 2020 Larson joined Knowledge Based Systems, Inc. in College Station, Texas as a Research Scientist specializing in natural language processing.[13]
Larson has also written articles for The Atlantic[14][15] and Los Angeles Review of Books[16] as well as for The Metro Silicon Valley[17] and Inference: International Review of Science[18].
The Myth of Artificial Intelligence[edit]
Larson's book, The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do[1] (ISBN 9780674983519 Search this book on . ) was published by Harvard University Press on April 6, 2021. In the book, "Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know—our own."[1]
In his endorsement of The Myth of Artificial Intelligence, venture capitalist Peter Thiel wrote "If you want to know about AI, read this book...it shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.”[19] The book also received endorsements from writer John Horgan[20] and CEO of the Allen Institute for Artificial Intelligence Oren Etzioni. It has been reviewed for Engadget[21], Fast Company[22], The Financial Times[23], Inside Story[24], The New Atlantis[25], The New York Review of Books[26], R&A Enterprise Architecture[27], Tech Monitor[28], TechTalks[29], The Times Literary Supplement[30], Towards Data Science[31], The Wall Street Journal[32], and The Wire India[33]. Larson has also made several media appearances in relation to the book, such as the Lawfare podcast.[34]
References[edit]
- ↑ 1.0 1.1 1.2 Larson, Erik J. (6 April 2021). The Myth of Artificial Intelligence — Erik J. Larson. www.hup.harvard.edu. ISBN 9780674983519. Retrieved 2021-09-26. Search this book on
- ↑ "Alumni Magazine Spring 1994". Whitworth Alumni Magazine. 1 January 1994.
- ↑ Larson, Erik John (December 2009). Primary semantic type labeling in monologue discourse using a hierarchical classification approach (thesis thesis).
- ↑ Shepard, Blake; Matuszek, Cynthia; Fraser, C. Bruce; Wechtenhiser, William; Crabbe, David; Güngördü, Zelal; Jantos, John; Hughes, Todd; Lefkowitz, Larry; Witbrock, Michael; Lenat, Doug (2005-07-09). "A knowledge-based approach to network security: applying Cyc in the domain of network risk assessment". Proceedings of the 17th Conference on Innovative Applications of Artificial Intelligence - Volume 3. IAAI'05. Pittsburgh, Pennsylvania: AAAI Press: 1563–1568. ISBN 978-1-57735-236-5.
- ↑ "CEUR-WS.org/Vol-101 - Knowledge Markup and Semantic Annotation (Semannot-2003)". ceur-ws.org. Retrieved 2021-09-26.
- ↑ Larson, Erik; Hughes, Todd (2005). "Relational Recognition for Information Extraction in Free Text Documents" (PDF). Association for the Advancement of Artificial Intelligence Spring Symposium.
- ↑ Asher, Nicholas; Denis, P.; Kuhn, Jonas; Larson, Erik; McCready, E.; Palmer, Alexis; Reese, Brian; Wang, Linton. "Extracting and Using Discourse Structure to Resolve Anaphoric Dependencies : Combining Logico-Semantic and Statistical Approaches". www.semanticscholar.org. Retrieved 2021-09-26. Unknown parameter
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ignored (help) - ↑ Woelk, D.; Larson, Erik; Allen, Wayne; Taank, Sumit (2003). "Focused Knowledge Bases for Multi-Disciplinary , Multi-Sector Decision Making". www.semanticscholar.org. Retrieved 2021-09-26. Unknown parameter
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ignored (help) - ↑ "KNEXIENT | SBIR.gov". www.sbir.gov. Retrieved 2021-09-26.
- ↑ https://influencenetworks.com/
- ↑ "The Inspiration for Academic Influence | Interview with Erik Larson | Academic Influence". academicinfluence.com. Retrieved 2021-09-16.
- ↑ AcademicInfluence.com. "AcademicInfluence.com Ranks the Top Colleges & Universities in the U.S. for 2021". www.prnewswire.com. Retrieved 2021-09-26.
- ↑ https://www.signalhire.com/companies/knowledge-based-systems-inc/employees
- ↑ Larson, Erik (2015-05-14). "Questioning the Hype About Artificial Intelligence". The Atlantic. Retrieved 2021-09-26.
- ↑ Larson, Erik (2019-04-26). "When Making Things Better Only Makes Them Worse". The Atlantic. Retrieved 2021-09-26.
- ↑ Mankin, Keith P.; Simon, Ed; Larson, Erik J.; Fletcher, Angus. "What Is Literature For?: A Symposium on Angus Fletcher's "Wonderworks"". Los Angeles Review of Books. Retrieved 2021-10-23.
- ↑ "2012 June 27 | Metro Silicon Valley". www.metrosiliconvalley.com. Retrieved 2021-09-26.
- ↑ Larson, Erik (2015-07-13). "Big Neuroscience". Inference: International Review of Science. 1 (3). doi:10.37282/991819.15.16.
- ↑ "The Myth of Artificial Intelligence". www.goodreads.com. Retrieved 2021-09-26.
- ↑ Horgan, John. "Will Artificial Intelligence Ever Live Up to Its Hype?". Scientific American. Retrieved 2021-09-26.
- ↑ "Hitting the Books: Is the hunt for technological supremacy harming our collective humanity?". Engadget. Retrieved 2021-09-16.
- ↑ Larson, Erik J. (2021-05-12). "Silicon Valley has been taken over by 'technological kitsch'". Fast Company. Retrieved 2021-09-16.
- ↑ Thornhill, John (2021-03-25). "The delusions of techno-futurists who ask: crisis, what crisis?". The Financial Times. Retrieved 2021-09-15.
- ↑ "Ghosts in the machine". Inside Story. 2021-08-05. Retrieved 2021-09-26.
- ↑ "Why We Still Don't Have True AI". The New Atlantis. Retrieved 2021-09-27.
- ↑ Halpern, Sue. "The Human Costs of AI". ISSN 0028-7504. Retrieved 2021-10-23.
- ↑ Wierda, Gerben (2021-08-21). "AI is a Myth, says AI-researcher and engineer Erik Larson". R&A Enterprise Architecture. Retrieved 2021-09-16. Unknown parameter
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ignored (help) - ↑ Clarke, Laurie (2021-05-12). "Forget the hype, we've no idea how to reach human-like AI". Tech Monitor. Retrieved 2021-09-16. Unknown parameter
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ignored (help) - ↑ Dickson, Ben (2021-09-20). "Abductive inference: The blind spot of artificial intelligence". TechTalks. Retrieved 2021-09-26.
- ↑ "The Myth of Artificial Intelligence by Erik J. Larson review: What the human mind can do that the man-made one can't". TLS. Retrieved 2021-09-16.
- ↑ Chugg, Ben (2021-06-09). "The False Philosophy Plaguing AI". Medium. Retrieved 2021-09-16.
- ↑ Shaywitz, David A. (2021-05-21). "Big Brains: New Books on Artificial Intelligence". Wall Street Journal. ISSN 0099-9660. Retrieved 2021-09-26.
- ↑ Kulkarni, Viraj (2021-06-01). "In Erik Larson's New Book, a Cogent Case Against the Inevitability of True AI". The Wire Science. Retrieved 2021-09-16.
- ↑ "The Lawfare Podcast: The Myth of Artificial Intelligence". Lawfare. 2021-03-31. Retrieved 2021-09-26.
Erik Larson[edit]
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