Artificial Intelligence (AI) offers vast opportunities for our society: more efficient and personalized services, better decision-making in various fields, and advancements in medicine and science. However, critical challenges in privacy, ethics, and transparency need to be addressed to ensure that AI systems are not discriminatory or unpredictable. Additionally, sustainability poses a future challenge, as the energy consumption of AI systems is significant.

TU Wien Informatics is at the forefront of advancements in AI, addressing challenges and developing ethical, human-centered and environmentally sustainable AI systems. Our research focuses on a diverse range of approaches, and the recently established Cluster of Excellence Bilateral AI leverages the potential of combining symbolic (Knowledge Representation and Reasoning) and sub-symbolic (Machine Learning) AI. The combination of symbolic and sub-symbolic AI opens up new avenues for AI that are better at solving problems, adapting to a wide variety of environments, having better reasoning skills, and being more efficient in terms of both computation and data use. These key features allow for a vast range of use cases, starting with drug development and medicine, over planning and scheduling, to autonomous traffic management and recommendation systems. With fairness, transparency, and explainability as top priorities, developing next generation AI systems is also essential for addressing ethical concerns and ensuring a positive impact on our society.

Artificial Intelligence relies on a wide range of methods - from logics, deep learning, and knowledge representation to large language models. It is essential to understand these different approaches to be at the forefront of the development of next-generation AI systems. These systems require a combination of methods to provide robust, transparent, and fair results. With strong roots in both Symbolic AI and Machine Learning and a reflexive stance on the impact we have on society, TU Wien Informatics provides the perfect environment for this endeavor.

We are actively engaged in many research projects and collaborations that explore the opportunities and challenges presented by AI. Our faculty works both within and beyond the field to foster and facilitate research and collaborations that benefit all of society. We are convinced that ethical considerations are crucial to the development of AI, and must be integrated from day one. Our researchers are developing and embedding ethical frameworks into AI to build fair and trustworthy AI systems.

Our research extends across various disciplines, emphasizing the importance of diversity in both the people who conduct research and the methods they use. The recently established Cluster of Excellence, Bilateral AI (BILAI), brings together two main approaches in AI, symbolic and sub-symbolic AI, with the goal to create a Broad AI that is capable of addressing diverse tasks across multiple domains. The Center for Artificial Intelligence and Machine Learning (CAIML) and the the Christian-Doppler Laboratories are at the forefront of AI and Machine Learning research, leading efforts to strengthen both in their foundations and applications. Through the Digital Humanism Initiative, we strive for an inclusive, participatory development of technologies that benefit us all. To ensure a positive impact of AI in all domains, we need robust, trustworthy, explainable, but also sustainable AI systems. If you want to learn more about Sustainability in AI, you can read about current projects, updates, and news here.

Our faculty’s involvement with AI spans a wide range—from theoretical, formal, and ethical approaches to developing secure AI systems that are deployed in medicine, research, industry, and our everyday lives. If you want to learn more about our research projects, have a look at our Research Units; you’re sure to find some interesting projects, topics, and people!

We are dedicated to excellence in our research activities, but we are equally dedicated to excellence when it comes to teaching and education.

We are at the forefront of mastering complex societal challenges with our research and education in AI. What sets us apart? Academic excellence! Our vision: To create a space where people can thrive, and their curiosity can become cutting-edge research. Beyond our dedication to excellence, our research and education efforts go hand in hand with a strong commitment to society. At TU Wien Informatics, you’ll learn from the best and are integrated into an international research community, and a good balance between teachers and students helps you to reach your full potential.

• Bachelor Informatics
  Specialize in Artificial Intelligence and Machine Learning right from the start.
• Master Logic and Computation
  Formal methods in this field build the basis for tackling challenges in AI.
• Double Degree Logic and Computation
  Learn all about formal methods, the basics of AI, in Leibnitz and Vienna.
• Master Data Science
  Understanding interrelationships and patterns from data is key in AI research.
• TU Wien Informatics Doctoral School
  Our Doctoral Schools offer many opportunities to shape the field of AI.