Crowdsourcing

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Crowdsourcing reCAPTCHA Completely Automated Public Turing test to tell Computers and Humans Apart Luis von Ahn • Guatemalan entrepreneur • Consulting Professor at Carnegie Mellon University in Pittsburgh, Pennsylvania. • Known as one of the pioneers of crowdsourcing. The problem: "Anybody can write a program to sign up for millions of accounts, and the idea was to prevent that" Luis von Ahn Ealier CAPTCHAs 2010: Luis invents CAPTCHA Business model B2B/B2C: The Captcha company sells captchas for around 30 $ per 1000 of them The idea Situation before 2007: CAPTCHAs were many and working well The thought of Luis: • Hundreds of thousands of combined human hours were being wasted each day, 200 million captchas were solved daily • Book digitalisation: at the tim Optical Character Recognition (OCR) software couln’t solve 30 % of the ammount of words to be digitalized • A CAPTCHA could be used with the intention of exploiting that to digitalize old books and articles reCAPTCHAs 2007: reCAPTCHA is found and a partnership is established to digitized the previous 20 years of New York ? Times issues within a few months, 13 million articles RESCUED crowdsourcing CARPATHIA ICEBERG reCAPTCHAs In 2009, reCAPTCHA was purchased by Google for an undisclosed amount for Google Books library, which is now one of the largest digital libraries in the world, or identify street names and addresses from Google Maps Street View. If you are not paying for the product, you are the product. Before and after reCAPTCHA : The ESP game and duoligo First of von Ahn projects: giving a name After CAPTCHA: Duoligo to an image: 10 M people playing Providing translations for the web through bought by Google Images a free language learning program.

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Recaptcha: Human-Based Character Recognition Via Web Security
REPORTS on September 12, 2008 and blogs. For example, CAPTCHAs prevent www.sciencemag.org reCAPTCHA: Human-Based Character ticket scalpers from using computer programs to buy large numbers of concert tickets, only to re Recognition via Web Security Measures sell them at an inflated price. Sites such as Gmail and Yahoo Mail use CAPTCHAs to stop spam Luis von Ahn,* Benjamin Maurer, Colin McMillen, David Abraham, Manuel Blum mers from obtaining millions of free e mail accounts, which they would use to send spam CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) are e mail. Downloaded from widespread security measures on the World Wide Web that prevent automated programs from According to our estimates, humans around abusing online services. They do so by asking humans to perform a task that computers cannot yet the world type more than 100 million CAPTCHAs perform, such as deciphering distorted characters. Our research explored whether such human every day (see supporting online text), in each case effort can be channeled into a useful purpose: helping to digitize old printed material by asking spending a few seconds typing the distorted char users to decipher scanned words from books that computerized optical character recognition failed acters. In aggregate, this amounts to hundreds of to recognize. We showed that this method can transcribe text with a word accuracy exceeding 99%, thousands of human hours per day. We report on matching the guarantee of professional human transcribers. Our apparatus is deployed in more an experiment that attempts to make positive use than 40,000 Web sites and has transcribed over 440 million words.
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ACM Bytecast Episode Title: Luis Von Ahn
Podcast Title: ACM Bytecast Episode Title: Luis Von Ahn Welcome to the ACM Bytecast podcast, where researchers, practitioners, and innovators share about their experiences, lessons, and future visions in the field of computing research. In this episode, host Rashmi Mohan welcomes Luis Von Ahn—founder of Duolingo, the most popular foreign language learning app. The conversation starts off with a quick look at Luis’s background, what he does, and what drew him into this field as a whole. Luis’s mother began his interest in computers at 8 years old and he’s never looked back since. While he started off his training in the field of computer science, he has now started 3 businesses, one of which is Duolingo. Rashmi taps into the history on Luis’s first two businesses before jumping into Duolingo. Learn about the creation of CAPTCHA and re-CAPTCHA. While one of these is a challenge-response test to help computers determine whether the user on websites was human or not, the other protects website from spam. The cru- cial foundation for Luis’s businesses were simply real world problems that he sought to help fix. Luis integrated these real issues in the industry and worked on them from the academic world. Being used across countless websites today, Luis’s work proved pivotal. Rashmi asks Luis about his perspective on integrating academia and business more—don’t miss out on his thoughts! Rashmi shifts the conversation to learning the details involved in the transition from academia to actually running a business and the learning curve associated with this.
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Luis Von Ahn - Episode 14 Transcript
ACM ByteCast Luis von Ahn - Episode 14 Transcript Rashmi Mohan: This is ACM ByteCast, a podcast series from the Association for Computing Machinery, the world's largest educational and scientific computing society. We talk to researchers, practitioners, and innovators who are at the intersection of computing research and practice. They share their experiences, the lessons they've learned, and their own visions for the future of computing. I am your host, Rashmi Mohan. Rashmi Mohan: If you want to boost your brain power, improve your memory, or enhance your multitasking skills, then you're often recommended to learn a foreign language. For many of us, that option has become a reality, thanks to our next guest and his creation. Luis von Ahn is a serial entrepreneur and Founder and CEO of Duolingo. An accomplished researcher and consulting professor of Computer Science at Carnegie Mellon University, he straddles both worlds seamlessly. He's a winner of numerous awards, including the prestigious Lemelson-MIT Prize and the MacArthur Fellowship often known as The Genius Grant. Louis, welcome to ACM ByteCast. Luis von Ahn: Thank you. Thank you for having me. Rashmi Mohan: Wonderful. I'd love to lead with a simple question that I ask all of my guests. If you could please introduce yourself and talk about what you currently do, and also give us some insight into what drew you into the field of computer science. Luis von Ahn: Sure. So my name is Luis. I am currently the CEO and co-founder of a company called Duolingo. Duolingo is a language learning platform.
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Larry Page Developing the Largest Corporate Foundation in Every Successful Company Must Face: As Google Word.” the United States
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The Future of the Internet and How to Stop It the Harvard Community Has
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Luis Von Ahn
Luis von Ahn Professional 2011-present A. Nico Habermann Associate Professor. Computer Science Department, Employment Carnegie Mellon University. 2009-present Staff Research Scientist. Google, Inc. 2006-2011 Assistant Professor. Computer Science Department, Carnegie Mellon University. 2008-2009 Founder and CEO. ReCAPTCHA, Inc. (acquired by Google, Inc., in 2009). 2005-2006 Post-Doctoral Fellow. Computer Science Department, Carnegie Mellon University. Education Carnegie Mellon University, Pittsburgh, PA. Ph.D. in Computer Science, 2005. Advisor: Manuel Blum Thesis Title: Human Computation Carnegie Mellon University, Pittsburgh, PA. M.S. in Computer Science, 2003. Duke University, Durham, NC. B.S. in Mathematics (Summa Cum Laude), 2000. Research I am working to develop a new area of computer science that I call Human Computation. In Interests particular, I build systems that combine the intelligence of humans and computers to solve large-scale problems that neither can solve alone. An example of my work is reCAPTCHA, in which over 750 million people—more than 10% of humanity—have helped digitize books and newspapers. Selected MacArthur Fellow, 2006-2011. Honors Packard Fellow, 2009-2014. Discover Magazine: 50 Best Brains in Science, 2008. Fast Company: 100 Most Creative People in Business, 2010. Silicon.com: 50 Most Influential People in Technology, 2007. Microsoft New Faculty Fellow, 2007. Sloan Fellow, 2009. CAREER Award, National Science Foundation, 2011-2015. Smithsonian Magazine: America’s Top Young Innovators in the Arts and Sciences, 2007. Technology Review’s TR35: Young Innovators Under 35, 2007. IEEE Intelligent Systems “Ten to Watch for the Future of AI,” 2008. Popular Science Magazine Brilliant 10 Scientists of 2006. Herbert A.
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Invited Talk: Human Computation Luis Von Ahn Carnegie Mellon University Pittsburgh, PA USA [email protected]
Invited Talk: Human Computation Luis von Ahn Carnegie Mellon University Pittsburgh, PA USA [email protected] ABSTRACT algorithm—it must be proven correct, its efficiency can be Tasks like image recognition are trivial for humans, but analyzed, a more efficient version can supersede a less effi- continue to challenge even the most sophisticated computer cient one, and so on. Instead of using a silicon processor, programs. This talk discusses a paradigm for utilizing hu- these “algorithms” run on a processor consisting of ordi- man processing power to solve problems that computers nary humans interacting with computers over the Internet. cannot yet solve. Traditional approaches to solving such “Games with a purpose” have a vast range of applications problems focus on improving software. I advocate a novel in areas as diverse as security, computer vision, Internet approach: constructively channel human brainpower using accessibility, adult content filtering, and Internet search. computer games. For example, the ESP Game, described in Two such games under development at Carnegie Mellon this talk, is an enjoyable online game – many people play University, the ESP Game and Peekaboom, demonstrate over 40 hours a week – and when people play, they help how humans, as they play, can solve problems that com- label images on the Web with descriptive keywords. These puters can’t yet solve. keywords can be used to significantly improve the accuracy of image search. People play the game not because they LABELING RANDOM IMAGES want to help, but because they enjoy it. Several important online applications such as search en- gines and accessibility programs for the visually impaired Categories and Subject Descriptors require accurate image descriptions.
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