Inhalt

[ 993AISOCAIK25 ] KV (*)Communicating AI

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS M2 - Master 2. Jahr Artificial Intelligence Martina Mara 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Artificial Intelligence 2025W
Lernergebnisse
Kompetenzen
(*)Students are able to effectively communicate the complexities of artificial intelligence (AI) to non-experts, learning how to explain AI concepts and developments in clear, accessible language. They have had insights into the impact of public discourse on AI, media effects, and the role of communication in shaping public understanding and policy-making around AI.
Fertigkeiten Kenntnisse
(*)
  • Simplifying AI Concepts for Non-Experts (k5)

Students can translate complex AI concepts into understandable terms, ensuring that non-experts grasp the key ideas and implications of AI technologies.

  • Analyzing Media Representations of AI (k5)

Students are able to critically assess how AI is portrayed in the media, understanding the effects of sensationalism, misconceptions, and public perception on AI-related discussions and policy-making.

  • Engaging in Public Communication of AI (k5)

Students can create and participate in public communication strategies for AI, crafting messages that accurately represent AI developments and address common misconceptions.

  • Applying Media Effects Theories to AI Communication (k5)

Students are capable of using media effects theories to analyze how AI is framed in public discourse and how these framings influence societal attitudes, knowledge, and policy-making processes.

  • Presenting AI Research and Developments to Diverse Audiences (k6)

Students can develop and present effective communication materials that convey AI research and technological advancements to interdisciplinary audiences, ensuring clarity and engagement.

(*)Students acquire knowledge of media effects theories and public communication strategies, learning how AI is represented and perceived in societal discourse. They understand the importance of clear and accurate communication of AI concepts, gaining practical skills in conveying AI research to non-experts and other disciplines, and assessing the impact of public discourse on policy and societal attitudes.
Beurteilungskriterien
Abhaltungssprache Englisch
Lehrinhalte wechselnd? Nein
Frühere Varianten Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
993AISOCAIK19: KV Communicating AI (2019W-2025S)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung