Seminar 1: BrIAS Fellow Prof. Hannu Toivonen
Artificial intelligence as an expander of human creativity?
Abstract: In this talk, I will take a look at generative AI from the point of view of a human user of AI. My focus is on creativity, not just on generation, and my goal is to gain understanding on how generative AI could help humans be more creative. The approach is conceptual, touching on some key elements of creativity and their roles in the use of generative AI tools.
Seminar 2: BrIAS Junior Fellow Dr. Mehrdad Asad
Augmenting Machine Learning Pipeline with Explainability
Abstract: Over the years, with the advancements in computing infrastructure, tremendous amounts of data generated by software systems have been fueled by Artificial Intelligence (AI), in particular, Machine Learning (ML), to generate actionable insights. These advancements pose new concerns such as data quality, data bias, etc. compared to classical software architecture. Additionally, with the complexity arising from applying sophisticated AI and ML algorithms, a key limitation for the adoption of AI on a scale is its inherent black-box characteristics. In this talk, we present a set of new architectural requirements for such ML-based system software architecture and present proof of concept system architecture that augments AI components with explainability methods to monitor the inference capabilities. We will walk through use cases in adversarial AI and possible challenges with different XAI methods posing the needs for lightweight and efficient XAI techniques for large-scale deployment.
