Myth: AI is disrupting knowledge work
Recently, applications based on machine learning have made enormous progress and can now take over tasks such as translations, document search or image recognition. Now, many fear that knowledge work will fundamentally change and eventually many knowledge workers will lose their jobs.
AI is disrupting knowledge work.
Indeed, companies are using AI applications to automate or augment very specific parts of knowledge work. However, new tasks are created in the process and the tasks that can be automated are usually very modular and delimited. Knowledge work relates to tasks in which knowledge, rather than services or physical goods, must be developed and deployed at the core.
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Bundesministerium für Arbeit und Soziales (2020). KI und Wissensarbeit – Implikationen, Möglichkeiten und Herausforderungen. Eu2020.
Malone, T., Rus, D. & Laubacher, R. (2020). Artificial Intelligence and the Future of Work, Research Brief 17.
Send, H. & Friesike, S. (2020). Job-Killer KI? Wie uns Untergangs-Szenarien von den wirklich wichtigen Fragen ablenken. Focus.
Harari, Y. N. (2017). Homo Deus: A History of Tomorrow. HarperCollins Publisher
Agrawal, A., Gans, J. & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.
Netflix (2017, 29. Dezember). Black mirror Season 4, Episode 5 Metalhead
|UNICORN IN THE FIELD|
Anita Schjøll Brede
About the author
Prof. Dr. Hendrik Send
Project lead at the Alexander von Humboldt Institute for Internet and Society and Professor for Business Administration at HTW Berlin
Hendrik Send is project leader in the research area “Internet-enabled Innovation” at the Humboldt Institute for Internet and Society. Also, he is professor for Business Administration at HTW Berlin. Prior to this he studied physics, he holds a diploma in Electronic Business at the UdK Berlin and did his PhD at the Universität St. Gallen about Innovation-Communities and idea generation.
This post is part of our project “Why, AI?”. It is a learning space which helps you to find out more about the myths and truths surrounding automation, algorithms, society and ourselves. It is continuously being filled with new contributions.
This post represents the view of the author and does not necessarily represent the view of the institute itself. For more information about the topics of these articles and associated research projects, please contact firstname.lastname@example.org.
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