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Durch die Verschmelzung von menschlicher und k\u00fcnstlicher Intelligenz k\u00f6nnen komplement\u00e4re St\u00e4rken zum L\u00f6sen von Arbeitsaufgaben geb\u00fcndelt werden. Neuartige Wissensarbeitssysteme sind erforderlich, die Wissensarbeitende sowohl bei der Aus\u00fcbung von Routineaufgaben als auch Nichtroutineaufgaben unterst\u00fctzen.<\/jats:p><jats:p>Der Schlagwortartikel umrei\u00dft die Grundlagen von Wissensarbeit und arbeitet die Charakteristika von Routineaufgaben und Nichtroutineaufgaben innerhalb von Arbeitsprozessen auf. Es werden Grenzen klassischer IT-gest\u00fctzter Wissensarbeitssysteme als Werkzeuge umrissen, die Wissensarbeitende im Arbeitsprozess unterst\u00fctzen. Aufbauend darauf diskutiert der Artikel, dass technologische Fortschritte eine arbeitsprozessintegrierte und personalisierte Unterst\u00fctzung von Wissensarbeitenden erlauben. Dazu verweist der Artikel auf die Charakteristika von kollaborativ interaktiv lernenden Systemen. Darauf aufbauend werden Hybride Wissensarbeitssysteme vorgestellt, die sowohl das KI-unterst\u00fctzte menschliche Lernen als auch das Mensch-unterst\u00fctzte maschinelle Lernen unterst\u00fctzen. In diesem Zusammenhang beschreibt der Artikel definitorische Grundlagen von menschlicher, k\u00fcnstlicher und hybrider Intelligenz, stellt drei Archetypen von Mensch-Maschine-Aufgaben innerhalb von hybriden Wissensarbeitssystemen vor und umrei\u00dft drei Gestaltungsdimensionen solcher Systeme. Mittels eines Praxisbeispiels zum kollaborativen Schreiben von Journalist*innen beschreibt der Artikel exemplarisch die hybride Wissensarbeit. 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