Einleitung: Theoriegenerierendes empirisches Forschen in medienbezogenen Lebenswelten

Pentzold, Christian; Bischof, Andreas; Heise, Nele

doi:10.1007/978-3-658-15999-3_1

Cited by 10 publications

(5 citation statements)

References 37 publications

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“…23 statt und dauerten durchschnittlich 57 Minuten. Für die Auswertung der transkribierten Interviews verwendeten wir die Methode der Grounded Theory (Pentzold et al 2018). Die befragten Behandler*innen stellten allerdings die notwendige Kompetenz infrage, da KI "nicht empathisch genug" sei und daher "nicht mitreden" solle (3).…”

Section: Methodeunclassified

AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

Schneider,

Weber

2024

TATuP

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Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control.

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Section: Methodeunclassified

AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

Schneider,

Weber

2024

TATuP

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show abstract

“…23 statt und dauerten durchschnittlich 57 Minuten. Für die Auswertung der transkribierten Interviews verwendeten wir die Methode der Grounded Theory (Pentzold et al 2018).…”

Section: Methodeunclassified

Situativität, Funktionalität und Vertrauen: Ergebnisse einer szenariobasierten Interviewstudie zur Erklärbarkeit von KI in der Medizin

Marquardt,

Graf,

Jansen

et al. 2024

TATuP

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A central requirement for the use of artificial intelligence (AI) in medicine is its explainability, i. e., the provision of addressee-oriented information about its functioning. This leads to the question of how socially adequate explainability can be designed. To identify evaluation factors, we interviewed healthcare stakeholders about two scenarios: diagnostics and documentation. The scenarios vary the influence that an AI system has on decision-making through the interaction design and the amount of data processed. We present key evaluation factors for explainability at the interactional and procedural levels. Explainability must not interfere situationally in the doctor-patient conversation and question the professional role. At the same time, explainability functionally legitimizes an AI system as a second opinion and is central to building trust. A virtual embodiment of the AI system is advantageous for language-based explanations

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“…This study relied on the qualitative approach described by grounded theory (cf. Gehrau, 2017;Pentzold et al, 2018). Interviews were conducted with study participants, and interviews combined participatory observation, thinking aloud and focused questions.…”

Section: Methodsmentioning

confidence: 99%

‘Shoulda, Coulda, Woulda’: Young Swiss audiences’ attitudes, expectations and evaluations of audiovisual news and information content and the implications for public service television

Autenrieth

Künzler

Fehlmann

2021

Critical Studies in Television: The International Journal of Te

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Public service media (PSM) are still seen in most European countries as a core means of informing citizens of all ages. Nevertheless, PSM struggle to reach young audiences, who are often characterised as news-avoidant or news-deprived. This article asks what meaning the news and information offered by PSM have for young people. The qualitative study describes young people’s attitudes and expectations regarding audiovisual news and information content through observation of their media usage habits in an experimental setting. It provides insights regarding how young people find and select news in today’s digital media environment and highlights opportunities for PSM providers to reach and engage with young audiences more effectively.

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Einleitung: Theoriegenerierendes empirisches Forschen in medienbezogenen Lebenswelten

Cited by 10 publications

References 37 publications

AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

Situativität, Funktionalität und Vertrauen: Ergebnisse einer szenariobasierten Interviewstudie zur Erklärbarkeit von KI in der Medizin

‘Shoulda, Coulda, Woulda’: Young Swiss audiences’ attitudes, expectations and evaluations of audiovisual news and information content and the implications for public service television

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