Designing Human centered AI. Case studies from practice

Wann: 05. Mai 2026, 16:00 Uhr; anschließend Zeit zur Diskussion

Wo: paluno, SGW-009, Gerlingstraße 16, 45127 Essen

Anmeldung: Die Veranstaltung ist kostenfrei. Da die Raumkapazität begrenzt ist, empfehlen wir eine frühzeitige Anmeldung unter:
https://terminplaner6.dfn.de/b/17e073a711011721b2e2e89f49718df5-1665439
 

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.

Bio:

Tesh (Nitesh) Goyal leads research at the intersection of AI and Safety at Google Deepmind. His work at Google has led to the launch of ML based tools like SynthID to enable AI Literacy, AIStudio and MakerSuite to enable creatives for leveraging AI to bring their ideas to life, Harassment Manager to empower targets of online harassment, ML based moderation to reduce online toxic content production on platforms, and multiple NLP based tools that reduce biased sensemaking. He received his MSc in Computer Science from RWTH Aachen before receiving his PhD in Information Science from Cornell University. His research has been supported by the German Govt., and National Science Foundation. Frequently collaborating with industry (Google Research, Yahoo Labs, HP Labs, Bloomberg Labs), he has published in top-tier HCI venues (eg. CHI, CSCW, FAccT), received three best paper honorable mention awards (CHI, CSCW) and his work is frequently covered in the press.  Tesh serves on the ACM SIGCHI Steering Committee, as an appointed Adjunct Professor at New York University and Columbia University, and as an ACM Distinguished Speaker.

Personal website: https://www.teshgoyal.info/