Künstliche Intelligenz (KI) als Motor für die Transformation im Kundenservice

Heesen, Lutz; Irnich, Ulrich; Knoop, Jörg; Dannenberg, Nicole; Döring, Sandra; Prohaska, Eva; Orlowski, Christian

doi:10.1007/978-3-658-34670-6_11

Cited by 1 publication

(4 citation statements)

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“…For example, the EU Commission pointedly states that the greatest risks associated with the use of AI concern the application of rules protecting fundamental rights, including data protection and privacy and nondiscrimination, as well as security and liability issues (cf. EU 2020; Heesen et al 2021). Especially since the voice system "ChatGPT" has been freely available to everyone and competitors are presenting comparable products, it has become clear to many stakeholders how necessary it is to regulate the new technology appropriately (cf.…”

Section: Introduction: Discussion On Ai Regulationmentioning

confidence: 99%

“…It is therefore essential to take a differentiated view of AI: depending on the application context, one and the same system can be associated with a variety of risks or levels of criticality (cf. Heesen et al 2021). Likewise, there are conditions of diverse areas of application, for which divergent needs and requirements for ethical AI guidelines are relevant in each case.…”

Section: Inconsistent Assessments Of Application Contextsmentioning

confidence: 99%

“…It is emphasized that there is still a great need for research in this area (cf. Heesen et al 2021).…”

Section: Inconsistent Assessments Of Application Contextsmentioning

confidence: 99%

“…The discussion about this and furthermore the modes of implementation regarding corresponding criteria are quite obviously still in their infancy (cf. Heesen et al 2021).…”

Section: Challenges Of Technological Change and Of Workable Standardsmentioning

confidence: 99%

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Trustworthy AI: AI made in Germany and Europe?

Hirsch-Kreinsen,

Krokowski

2023

AI & Soc

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As the capabilities of artificial intelligence (AI) continue to expand, concerns are also growing about the ethical and social consequences of unregulated development and, above all, use of AI systems in a wide range of social areas. It is therefore indisputable that the application of AI requires social standardization and regulation. For years, innovation policy measures and the most diverse activities of European and German institutions have been directed toward this goal. Under the label “Trustworthy AI” (TAI), a promise is formulated, according to which AI can meet criteria of transparency, legality, privacy, non-discrimination, and reliability. In this article, we ask what significance and scope the politically initiated concepts of TAI occupy in the current process of AI dynamics and to what extent they can stand for an independent, unique European or German development path of this technology.

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Section: Introduction: Discussion On Ai Regulationmentioning

confidence: 99%

Section: Inconsistent Assessments Of Application Contextsmentioning

confidence: 99%

“…It is emphasized that there is still a great need for research in this area (cf. Heesen et al 2021).…”

Section: Inconsistent Assessments Of Application Contextsmentioning

confidence: 99%

“…The discussion about this and furthermore the modes of implementation regarding corresponding criteria are quite obviously still in their infancy (cf. Heesen et al 2021).…”

Section: Challenges Of Technological Change and Of Workable Standardsmentioning

confidence: 99%

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