Hauptmann, Christian - Lehrstuhl für Künstliche Intelligenz und Wissenssysteme

Universität Würzburg
Lehrstuhl für künstliche Intelligenz
und Wissenssysteme
Am Hubland
D-97074 Würzburg

Raum: B006
Telefon: +49 931 31-84269

Über mich

Ich habe im September 2021 meinen Masterabschluss in Informatik an der Uni Würzburg gemacht und bin seit November 2021 Teil des Lehrstuhls für künstliche Intelligenz und Wissenssysteme. Meine Interessen liegen im Bereich des Natural Language Processing, wo ich die Anwendung konventioneller Algorithmen und neuronaler Netze für Dialogsysteme erforsche.

Projekte

Als Mitglied des TargetJura-Projekts forsche ich an Dialogsystemen zur Diskussion ethischer Fragen beim Einsatz künstlicher Intelligenz in Kernbereichen unserer Gesellschaft. Zu diesem Zweck entwickeln wir ein Web-Framework, in dem Nutzer mit unserem Chatbot interagieren können. Aktuell ist unser Bot online und man kann hier mit ihm diskutieren.

Lehre

WS24	Software Praktikum (Betreuung eines Themas)
WS24	Seminar KI (Betreuung eines Themas)
SS23	Programmieren mit neuronalen Netzen (Übungsleiter)
WS23	Software Praktikum (Betreuung eines Themas)
SS22	Betreung Masterarbeit (Klassifikation von Argumenten in ethischen Diskussionen für Chatbots)
SS22	Programmieren mit neuronalen Netzen (Übungsleiter)
SS22	Software Praktikum (Betreuung eines Themas)

Publikationen

1.
Hauptmann, C., Krenzer, A., V{ö}lkel, J. & Puppe, F. Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. Knowledge and Information Systems (2024) doi:10.1007/s10115-024-02074-x.
- [ Abstract ]
- [ BibTeX ]
- [ URL ]
This paper explores the potential of a German-language chatbot to engage users in argumentative dialogues on ethically sensitive topics. Utilizing an argumentative knowledge graph, the chatbot is equipped to engage in discussions on the ethical implications of autonomous AI systems in hypothetical future scenarios in the fields of medicine, law, and self-driving cars. In a study with 178 student participants, we investigated the chatbot's argumentation effect---its ability to offer new perspectives, gain user acceptance, and broaden users' viewpoints on complex issues. The results indicated a substantial argumentation effect, with 13--21{\%} of participants shifting their opinions to more moderate stances after interacting with the chatbot. This shift demonstrates the system's effectiveness in fostering informed discourse and increasing users' understanding of AI ethics. While the chatbot was well-received, with users acknowledging the quality of its arguments, we identified opportunities for improvement in its argument recognition capabilities. Despite this, our results indicate the chatbot's potential as an educational tool in engaging users with the ethical dimensions of AI technology and promoting informed discourse.

@article{Hauptmann2024, abstract = {This paper explores the potential of a German-language chatbot to engage users in argumentative dialogues on ethically sensitive topics. Utilizing an argumentative knowledge graph, the chatbot is equipped to engage in discussions on the ethical implications of autonomous AI systems in hypothetical future scenarios in the fields of medicine, law, and self-driving cars. In a study with 178 student participants, we investigated the chatbot's argumentation effect—its ability to offer new perspectives, gain user acceptance, and broaden users' viewpoints on complex issues. The results indicated a substantial argumentation effect, with 13–21{\%} of participants shifting their opinions to more moderate stances after interacting with the chatbot. This shift demonstrates the system's effectiveness in fostering informed discourse and increasing users' understanding of AI ethics. While the chatbot was well-received, with users acknowledging the quality of its arguments, we identified opportunities for improvement in its argument recognition capabilities. Despite this, our results indicate the chatbot's potential as an educational tool in engaging users with the ethical dimensions of AI technology and promoting informed discourse.}, author = {Hauptmann, Christian and Krenzer, Adrian and V{\"o}lkel, Justin and Puppe, Frank}, journal = {Knowledge and Information Systems}, keywords = {sys:for:ls6-ki}, month = {03}, title = {Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios}, year = 2024 }
1.
Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C. & Hotho, A. Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. in Proceedings of The 13th International Workshop on Semantic Evaluation (Association for Computational Linguistics, 2019).
- [ BibTeX ]
@inproceedings{zehe2019xenophilius, author = {Zehe, Albin and Hettinger, Lena and Ernst, Stefan and Hauptmann, Christian and Hotho, Andreas}, booktitle = {Proceedings of The 13th International Workshop on Semantic Evaluation}, keywords = {sys:for:uniwue_info6}, publisher = {Association for Computational Linguistics}, title = {Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks}, year = 2019 }

Christian Hauptmann, M.Sc.