Developing responsible AI in local journalism with Design Thinking

Wilczek, Bartosz und Eder, Maximilian (2024): Developing responsible AI in local journalism with Design Thinking. An organizational learning perspective. In: Hooffacker, Gabriele; Kenntemich, Wolfgang und Kulisch, Uwe (eds.) : Neue Plattformen – neue Öffentlichkeiten: KI, Krisen und Journalismus. Wiesbaden: Springer VS. pp. 31-43

Abstract

Artificial Intelligence (AI) applications offer opportunities for local news organizations to better cope with the economic challenges they face. As the provision and consumption of high-quality local journalistic content is socially desirable, scholars and industry experts are arguing for a responsible use of AI in journalism. AI applications in journalism should not only increase the efficiency of local news organizations but also adhere to specific quality standards. Accordingly, there is a need for user-centric approaches involving journalists in co-creating AI applications. However, there are no established approaches for developing responsible AI in journalism. Therefore, based on two Design Thinking projects during which low-fidelity prototypes of responsible AI applications for local journalism were developed, this chapter discusses how organizational learning shaped the development of such an innovation process.

• Item Type: Book Section
• Keywords: Artificial Intelligence; design thinking; local journalism; organizational learning
• Faculties: Social Sciences; Social Sciences > Department of Communications and Media (IfKW)
• Subjects: 300 Social sciences > 300 Social sciences, sociology and anthropology
• ISBN: 9783658446598
• Place of Publication: Wiesbaden
• Annotation: First Online: 19 July 2024