Talks by Google Deepmind researcher

Programme

Wednesday 22 October 09:15 - 10:00: Designing AI Responsibly - Case Studies from Practice

Location: Egget Auditorium, Parkveien 1

Abstract: As an HCI Researcher, my work pushes boundaries for inclusive AI/ML models. In this talk I will share case studies about building these models and challenges in their large scale adoption. Some of these models are commonly used to detect toxicity in online conversations. These models are trained on datasets annotated by human raters and require relatively large datasets. In the first case study, I will explore how raters' self-described identities impact how they annotate toxicity in online comments. In a second case study, I will share how our collective scholarship presents a gap at evaluating Responsible AI tools that inspect such AI/ML models. I will end with recommendations for an inclusive and equitable RAI practice. 

Wednesday 22 October 13:00- 14:00:  Designing for Sensemaking Translucence: A Crime-Solving Case Study

Location: Storetinget, Fosswinkels gate 6

Abstract: Solving crimes correctly is a critical and life-altering problem where intelligence analysts are constantly struggling against their biases. Despite recurring themes of how AI should be designed responsibly to support these use cases/users in 50+ years of scholarship, we have barely started to scratch the surface. In this lecture, I introduce the notion of Sensemaking Translucence into biases, fairness and equity related challenges. I then provide examples of how AI can support Sensemaking Translucence. My work finally makes the case that it is important to design from a human centered perspective by leveraging AI to support these Human AI Collaboration workflows.