ROB: Human-Robot Interaction
This group explores the dynamics between humans and robots to design systems that are intuitive, safe, and effective. This research is crucial for advancing robotics in areas like healthcare, industry, and daily life, ensuring robots enhance human capabilities while fostering trust and collaboration.
SNLP: Bias, Fairness, Transparency & Privacy
This group explores how to mitigate biases, ensure fairness, enhance transparency, and safeguard privacy in AI-driven language technologies. This work is vital to building ethical, trustworthy, and inclusive AI systems that positively impact society.
Energy-efficient AI
Climate change and its consequenes are one of the most pressing topics of todays society so it is only natural that AI algorithms should play a vital role in the efficient use of our energy.
ML: Auto ML and Hyperparameter Tuning
Automated Machine Learning can save valuable time and energy when using ML algorithms. By continously adjusting hyperparameters, performance can significantly increase.
PEAI: Bias, Fairness & Equity
Adressing fairness and biases in algorithms is extremely relevant when incorporating technology into our society.
SNLP: Sentiment Analysis and Stylistic Analysis
Increasing use of LLMs calls for more fine grained analysis of style and sentiment to ensure that models give an accurate representation of what is intended.
SNLP: Machine Translation & Multilinguality/Multimodality
AAAI Description Die Entwicklung von LLM für mehrere Sprachen, einschließlich Sprachen mit geringer Ressourcenausstattung, ist unerlässlich, um den weltweiten Zugang zu neuen Technologien zu gewährleisten.
HAI: Human-Machine Teams
Die Ermöglichung von Teamarbeit zwischen Menschen und KI ist sicherlich der Schlüssel zum Erfolg bei der Lösung komplexer Probleme im digitalen Zeitalter. Die Angst vor der Übernahme von Arbeitsplätzen durch die Automatisierung beherrscht die Diskussion über KI. Was aber, wenn die vielversprechende Aussicht auf eine Zusammenarbeit zwischen Mensch und KI einfach nur bestimmte Aufgaben erleichtert […]
HAI: Human-Computer Interaction
ML: Multimodal Learning
As the world around us is complex, it is important to incorporate multiple modalities into systems created to support humans whether it is in medicine as robotic surgical assistants or other work environments.