Fiat Iustitia. An Investigation of the Acceptance of Artificial Intelligence in Jurisprudence
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Master's Thesis from the year 2024 in the subject Economics - International Economic Relations, grade: 2,3, University of W�rzburg (Chair of Applied Microeconomics, esp. Human-Machine Interaction), course: Master-Thesis VWL, language: English, abstract: K�nstliche Intelligenz im Gerichtssaal - Warum Juristen z�gern und wie sich das �ndern l�sst. Ob im privaten Alltag, in der Industrie oder in der Medizin - K�nstliche Intelligenz (KI) ist l�ngst keine Zukunftsmusik mehr. Doch in einem Bereich scheint der technologische Fortschritt nur z�gerlich Einzug zu halten: der juristischen Welt. Warum begegnen Jurist: innen und Fachpersonal der KI mit Skepsis? Und was m�sste passieren, damit sich das �ndert? Diese Arbeit geht genau diesen Fragen auf den Grund. Sie bietet einen fundierten Einstieg in das Thema "K�nstliche Intelligenz im Recht", erkl�rt zentrale Begriffe, beleuchtet Einsatzm�glichkeiten und benennt die Herausforderungen, mit denen Legal Tech - also KI im juristischen Einsatz - konfrontiert ist. Der Blick richtet sich dabei vor allem auf die Menschen hinter der Robe: Was hindert sie daran, digitale Werkzeuge zu nutzen, die Prozesse beschleunigen und den Arbeitsalltag sp�rbar erleichtern k�nnten? Zur Erkl�rung dieses Widerstands wird das Technology Acceptance Model nach Venkatesh und Bala (2008) herangezogen - ein Modell, das das Nutzerverhalten gegen�ber neuer Technologie analysiert und zeigt, wie Wahrnehmung, Nutzen und Erwartungshaltungen Akzeptanz beeinflussen. Doch damit nicht genug: Die Autorin verfolgt einen innovativen Ansatz und kombiniert die Erkenntnisse mit der Nudge-Theorie von Thaler und Sunstein (2008). Deren zentrale These: Menschen lassen sich durch subtile Impulse - sogenannte "Nudges" - zu gew�nschten Entscheidungen lenken, ohne ihnen diese aufzuzwingen. Im Rahmen einer empirischen Untersuchung wurden Jurist: innen aus verschiedenen Bereichen befragt. Zwei Gruppen wurden dabei unterschiedlich informiert - mit erstaunlichem Ergebnis: Bereits
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