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Crowdsourcing and Artificial Intelligence

Year 2022, Volume: 24 Issue: 4, 1301 - 1313, 29.12.2022
https://doi.org/10.32709/akusosbil.1029379

Abstract

“Artificial Intelligence (AI)”, which means systems or machines that imitate human intelligence and usage practices and use the data obtained to perform defined tasks, is applied in different fields. Artificial intelligence (AI) is making it possible for machines to learn through experience, adapt to new inputs, and perform human-like tasks. Computers are now trained to perform specific tasks by processing large amounts of data and recognizing patterns in the data. Crowdsourcing, which uses the human mind in solving the tasks that are very difficult to solve and where the human is at the center, has turned into an important use value not only in the areas of co-creation or innovation of products, but also for artificial intelligence systems. Thanks to advanced technologies, crowds take place in many processes in artificial intelligence applications, which are formed by the combination of human and machine. As technology evolves, crowdsourcing evolves. In this development process, the use of artificial intelligence emerges as a very important area. In this context, the main purpose of the study is to present a complementary and descriptive or situational assessment based on the use of crowdsourced artificial intelligence. It is also aimed that the study will contribute to the literature on the subject.

References

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  • Brabham, D. C. (2008). Crowdsourcing as a model for problem solving: an ıntroduction and cases. Convergence: 75-90. Convergence: the ınternational journal of research into new media technologies, 14(1), 75-90. Doı: 10.1177/1354856507084420.
  • Çalışır, G. ve Banger, G. (2014). Sosyal medyanın kurumsal inovasyon için kullanımı. Uluslararası Yeni Medya Yeni Yaklaşımlar Konferansı Bildiri Kitabı. Çanakkale 18 Mart Üniversitesi Yayınları, 125, 684-697.
  • Dilmegani, C. (2021). AI crowdsourcing in 2021: Benefits, use cases & top vendors. https://research.aimultiple.com/crowdsource-ai/ (Erişim tarihi: 10.06.2021).
  • Eliza (2021). Eliza. https://www.masswerk.at/elizabot/ (Erişim tarihi: 15.05.2021).
  • Estellés-Arolas, E. ve Fernando González L. G. (2012). Towards and ıntegrated definition of crowdsourcing. Journal of Information Science. Journal of Information Science. 38(2) DOI: 10.1177/0165551512437638.
  • Gassmann, O., Karolin F. ve Michaela C. (2014). The business model navigator: 55 models that will revolutionise your business. Financial Times Prent.ISBN-10: 9781292065816.
  • Green, J. (2018). Artificial intelligence Microsoft launches real-time translation tech. https://techhq.com/2018/11/microsoft-launches-real-time-translation-tech/ (Erişim Tarihi: 10.04.2021).
  • Haenlein, M. ve Kaplan, A. (2019). A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. California Management Review 2019, Vol. 61(4) 5 –14.
  • Hershkovitz, S. (2019). A perfect match: artificial ıntelligence and crowdsourcing. https://bold-awards.com/artificial-intelligence-and-crowdsourcing-perfect-match/ (Erişim tarihi: 12.05.2021).
  • Hershkovitz, S. (2021). When humans meet aı: the next generation of crowdsourcing. https://crowdsourcingweek.com/blog/when-humans-meet-ai-next-generation-crowdsourcing/ (Erişim tarihi: 12.05.2021).
  • Howe, J. (2008). Crowdsourcing-kalabalıkların gücü, bir işin geleceğine nasıl karar verebilir?. İstanbul: Koç Sistem Yayınları.
  • IBM Watson (2021). “IBM Watson is AI for smarter business. https://www.ibm.com/watson/ (Erişim tarihi: 15.05.2021).
  • Işık, M. ve Akdağ, M. (2011). Dünden bugüne halkla ilişkiler, Konya: Eğitim Kitapevi.
  • Ivanov, E. (2018). Crowdsourcing 2.0. https://innovationobserver.com/ 2018/02/15/crowdsourcing-2-0/ (Erişim tarihi: 13.04.2021).
  • Kaplan, A. ve Haenlein, M. (2019). Siri, Siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations and implications of artificial intelligence. Business Horizons, 62, 1 (January/February 2019), 15-25.
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  • Lu, H., Yujie L., Min C., Hyoungseop K. ve Seiichi S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Netw Appl (2018) 23, 368–375, DOI 10.1007/s11036-017-0932-8.
  • Ludvik, E. (2020). Bold//Crowd 2.0 powered by AI and machine learning. https://crowdsourcingweek.com/blog/bold-crowd-2-0-powered-by-ai-and-machine-learning/ (Erişim tarihi: 12.05.2021).
  • MIT BigDog (2009). BigDog hits the beach. https://alum.mit.edu/slice/bigdog-hits-beach (Erişim tarihi: 02.02.2021).
  • Open Assembly Quarterly (OAQ) Report 2018 (2019). Co-creating the future of work state of crowdsourcing report. https://openassembly.com/reports/oaq-report- fall-2018/ (Erişim tarihi: 14.04.2021).
  • Press, G. (2017). Top 10 hot artificial intelligence (AI) technologies. https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/?sh=2e50e7131928/ (Erişim tarihi: 12.04.2021).
  • Shandwick, W. (2018). Social impact innovation trends report: conscious crowdsourcing part four in our ongoing series on macro trends shaping global society report. https://www.webershandwick.com/wpcontent// uploads/2018/04/Innovation-TrendsReport-Conscious-Crowdsourcing.pdf/ (Erişim tarihi: 03.01.2021).
  • Stanford AI Lab (2021). Stanford AI lab. https://ai.stanford.edu/ (Erişim tarihi: 12.04.2021).
  • Sümbüloğlu, V. ve Kadir S. (2002). Araştırma yöntemleri, Ankara: Hatipoğlu Yayınları.
  • Taigman, Y., Ming Y., Marc'Aurelio R. ve Lior W. (2014). DeepFace: closing the gap to human-level performance in face verification. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2014), pp. 1–8.
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Kitle Kaynak ve Yapay Zekâ

Year 2022, Volume: 24 Issue: 4, 1301 - 1313, 29.12.2022
https://doi.org/10.32709/akusosbil.1029379

Abstract

Tanımlanmış görevleri yerine getirmek için insan zekâsını ve kullanım pratiklerini taklit eden, elde ettiği verileri kullanan sistemler veya makineler anlamına gelen “Yapay Zekâ (AI)” farklı alanlarda uygulanmaktadır. Yapay zekâ (AI), makinelerin deneyimler aracılığıyla öğrenmesini, yeni girdilere uyum sağlamasını ve insan benzeri görevleri gerçekleştirmesini mümkün kılmaktadır. Artık bilgisayarlar, büyük miktarda veriyi işleyerek ve verilerdeki kalıpları tanıyarak belirli görevleri yerine getirmek için eğitilmektedir. İnsanın merkezde olduğu ve çözülmesi çok zor olan görevlerin çözümünde insan aklını kullanan kitle kaynak, yalnızca ürünlerin birlikte yaratılması veya inovasyon alanlarında değil, yapay zekâ sistemleri için de önemli bir kullanım değerine dönüşmüştür. Gelişmiş teknolojiler sayesinde insan ve makinenin bir araya gelmesiyle oluşan yapay zekâ uygulamalarında kalabalıklar, birçok süreçte yer almaktadır. Teknoloji geliştikçe kitle kaynak kullanımı gelişmektedir. Bu gelişme sürecinde yapay zekâ kullanımı çok önemli bir alan olarak ortaya çıkmaktadır. Bu bağlamda çalışmanın temel amacı, kitle kaynaklı yapay zekâ kullanımına dair tamamlayıcı ve betimleyici ya da durum saptayıcı yönteme dayalı bir değerlendirme ortaya koymaktır. Ayrıca çalışmanın konuyla ilgili alan yazına katkı sağlaması da amaçlanmaktadır.

References

  • AlphaGo (2021). Making history. https://deepmind.com/research/alphago/ (Erişim tarihi: 12.05.2021).
  • Amazon Prime Air (2021). Amazon-prime-air. https://www.amazon.com/Amazon-Prime-Air/b?ie=UTF8&node=8037720011 (Erişim tarihi: 12.05.2021).
  • Artificial Intelligence Index Report (2021). https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf (Erişim tarihi: 12.05.2021).
  • Boer, M. (2020). AI-Labeling crowdsourcing platforms. https://medium.com/swlh/ai-labeling-crowdsourcing-platforms-630adbc79c40/ (Erişim tarihi: 18.04.2021).
  • Brabham, D. C. (2008). Crowdsourcing as a model for problem solving: an ıntroduction and cases. Convergence: 75-90. Convergence: the ınternational journal of research into new media technologies, 14(1), 75-90. Doı: 10.1177/1354856507084420.
  • Çalışır, G. ve Banger, G. (2014). Sosyal medyanın kurumsal inovasyon için kullanımı. Uluslararası Yeni Medya Yeni Yaklaşımlar Konferansı Bildiri Kitabı. Çanakkale 18 Mart Üniversitesi Yayınları, 125, 684-697.
  • Dilmegani, C. (2021). AI crowdsourcing in 2021: Benefits, use cases & top vendors. https://research.aimultiple.com/crowdsource-ai/ (Erişim tarihi: 10.06.2021).
  • Eliza (2021). Eliza. https://www.masswerk.at/elizabot/ (Erişim tarihi: 15.05.2021).
  • Estellés-Arolas, E. ve Fernando González L. G. (2012). Towards and ıntegrated definition of crowdsourcing. Journal of Information Science. Journal of Information Science. 38(2) DOI: 10.1177/0165551512437638.
  • Gassmann, O., Karolin F. ve Michaela C. (2014). The business model navigator: 55 models that will revolutionise your business. Financial Times Prent.ISBN-10: 9781292065816.
  • Green, J. (2018). Artificial intelligence Microsoft launches real-time translation tech. https://techhq.com/2018/11/microsoft-launches-real-time-translation-tech/ (Erişim Tarihi: 10.04.2021).
  • Haenlein, M. ve Kaplan, A. (2019). A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. California Management Review 2019, Vol. 61(4) 5 –14.
  • Hershkovitz, S. (2019). A perfect match: artificial ıntelligence and crowdsourcing. https://bold-awards.com/artificial-intelligence-and-crowdsourcing-perfect-match/ (Erişim tarihi: 12.05.2021).
  • Hershkovitz, S. (2021). When humans meet aı: the next generation of crowdsourcing. https://crowdsourcingweek.com/blog/when-humans-meet-ai-next-generation-crowdsourcing/ (Erişim tarihi: 12.05.2021).
  • Howe, J. (2008). Crowdsourcing-kalabalıkların gücü, bir işin geleceğine nasıl karar verebilir?. İstanbul: Koç Sistem Yayınları.
  • IBM Watson (2021). “IBM Watson is AI for smarter business. https://www.ibm.com/watson/ (Erişim tarihi: 15.05.2021).
  • Işık, M. ve Akdağ, M. (2011). Dünden bugüne halkla ilişkiler, Konya: Eğitim Kitapevi.
  • Ivanov, E. (2018). Crowdsourcing 2.0. https://innovationobserver.com/ 2018/02/15/crowdsourcing-2-0/ (Erişim tarihi: 13.04.2021).
  • Kaplan, A. ve Haenlein, M. (2019). Siri, Siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations and implications of artificial intelligence. Business Horizons, 62, 1 (January/February 2019), 15-25.
  • Lashinsky, A. (2016). 2017 will be the year of AI. https://fortune.com/2016/12/30/the-year-of-artificial-intelligence/ (Erişim tarihi: 18.05.2021).
  • Lu, H., Yujie L., Min C., Hyoungseop K. ve Seiichi S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Netw Appl (2018) 23, 368–375, DOI 10.1007/s11036-017-0932-8.
  • Ludvik, E. (2020). Bold//Crowd 2.0 powered by AI and machine learning. https://crowdsourcingweek.com/blog/bold-crowd-2-0-powered-by-ai-and-machine-learning/ (Erişim tarihi: 12.05.2021).
  • MIT BigDog (2009). BigDog hits the beach. https://alum.mit.edu/slice/bigdog-hits-beach (Erişim tarihi: 02.02.2021).
  • Open Assembly Quarterly (OAQ) Report 2018 (2019). Co-creating the future of work state of crowdsourcing report. https://openassembly.com/reports/oaq-report- fall-2018/ (Erişim tarihi: 14.04.2021).
  • Press, G. (2017). Top 10 hot artificial intelligence (AI) technologies. https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/?sh=2e50e7131928/ (Erişim tarihi: 12.04.2021).
  • Shandwick, W. (2018). Social impact innovation trends report: conscious crowdsourcing part four in our ongoing series on macro trends shaping global society report. https://www.webershandwick.com/wpcontent// uploads/2018/04/Innovation-TrendsReport-Conscious-Crowdsourcing.pdf/ (Erişim tarihi: 03.01.2021).
  • Stanford AI Lab (2021). Stanford AI lab. https://ai.stanford.edu/ (Erişim tarihi: 12.04.2021).
  • Sümbüloğlu, V. ve Kadir S. (2002). Araştırma yöntemleri, Ankara: Hatipoğlu Yayınları.
  • Taigman, Y., Ming Y., Marc'Aurelio R. ve Lior W. (2014). DeepFace: closing the gap to human-level performance in face verification. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2014), pp. 1–8.
  • Turing, A. (1950). Computing machinery and intelligence mind. LIX/236: 433-460.
  • Wepster, S. (2010). Between theory and observations: tobias mayer's explorations of lunar motion. New York, Dordrecht, Heidelberg, London: Springer.
  • Wikipedi. (2021). Siri. https://en.wikipedia.org/wiki/Siri (Erişim tarihi: 12.05.2021).
There are 32 citations in total.

Details

Primary Language Turkish
Journal Section Public Relations - Communication
Authors

Tülay Yazıcı 0000-0003-4848-449X

Publication Date December 29, 2022
Submission Date November 28, 2021
Published in Issue Year 2022 Volume: 24 Issue: 4

Cite

APA Yazıcı, T. (2022). Kitle Kaynak ve Yapay Zekâ. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 24(4), 1301-1313. https://doi.org/10.32709/akusosbil.1029379

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