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20202026
most citedAppropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations

174 citations · 377 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Enabling and Understanding Personalization in AI-Generated Advertising Imagery

Victor Kolominsky-Rabas, Leopold Müller, Claudius Budcke +2

Personalized marketing traditionally matches static products to customers, while dynamic creative optimization focuses mainly on AI-driven text personalization or basic product ima…

cs.AI2026

I Am AdMan: A Pipeline for Automatic Generation of Personalized Advertising Imagery

Victor Kolominsky-Rabas, Leopold Müller, Claudius Budcke +1

Personalized marketing can increase customer engagement, satisfaction, and conversion. While existing personalization approaches have become effective at matching the right product…

cs.AI2026

Generative AI Use Cases In Real Estate Marketing: Adoption and Constraints in Germany

Victor Kolominsky-Rabas, Leopold Müller, Felicia Perpina +1

Generative artificial intelligence (GenAI) is changing how work is organized and performed. Real estate marketing is a prime example of this, yet evidence of GenAI in real estate a…

cs.AI2023★ 44 cited

A Critical Survey on Fairness Benefits of Explainable AI

Luca Deck, Jakob Schoeffer, Maria De-Arteaga +1

In this critical survey, we analyze typical claims on the relationship between explainable AI (XAI) and fairness to disentangle the multidimensional relationship between these two…

cs.AI2023★ 174 cited

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations

Max Schemmer, Niklas Kühl, Carina Benz +2

AI advice is becoming increasingly popular, e.g., in investment and medical treatment decisions. As this advice is typically imperfect, decision-makers have to exert discretion as…

cs.AI2023★ 7 cited

Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations

Jan Bode, Niklas Kühl, Dominik Kreuzberger +2

With the increasing importance of data and artificial intelligence, organizations strive to become more data-driven. However, current data architectures are not necessarily designe…