Kasneci, Gjergji

ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 7,552

ChatGPT for good? On opportunities and challenges of large language models for education

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 7,326

Bias in data‐driven artificial intelligence systems—An introductory survey

Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., et al. (2020) · WIREs Data Mining and Knowledge Discovery

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 1,043

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations

Rong, Y., Leemann, T., Nguyen, T.-T., Fiedler, L., Qian, P., Unhelkar, V., Seidel, T., Kasneci, G., & Kasneci, E. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 278

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

Pawelczyk, M., Broelemann, K., & Kasneci, G. (2020) · Proceedings of The Web Conference 2020

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 167

Language Models are Realistic Tabular Data Generators

Borisov, V., Seßler, K., Leemann, T., Pawelczyk, M., & Kasneci, G. (2022) · arXiv

Topic ModelingGenerative Adversarial Networks and Image Synthesis

Cited by 68

On opportunities and challenges of large multimodal foundation models in education

Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M., et al. (2025) · npj Science of Learning

Multimodal Machine Learning ApplicationsArtificial Intelligence in Education

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