Deborah Dormah Kanubala

Deborah Dormah Kanubala
Doctoral Researcher at Saarland University in Germany and co-organizer of WiMLDS Accra-Ghana, She has been featured in “100 Brilliant Women in AI Ethics” (2024), “120+ Women Spearheading Advances in AI”, and “80 African Women Advancing AI”. Member of the AI Grid network for AI Talents.
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Expert-MeetUpEN

10.10.2025 | 13:00 – 13:45 Uhr

MeetUp P.01 Tisch 2 | Halle / hall 3

When AI Decides Who Gets a Loan – Tackling Hidden Bias in Credit Scoring

Who gets credit and under what terms have long played a crucial role in shaping people’s access to opportunity. In recent times, there has been a growing need for financial institutions to automate the process with AI. However, this shift carries the risk of reinforcing or amplifying historical bias. In this session, we will unpack how discrimination can creep into the credit decision-making pipeline and provide practical approaches to measuring and mitigating such biases in lending systems.

Präsentiert von: herCAREER

Thema/Themenreihe: Wirtschaft, Arbeit & New Work, Wissenschaft, Technik, Digitalisierung & Technologie

Themenfelder: Data Science & Künstliche Intelligenz, Diversity & Inclusion

Joblevel/Zielgruppe: Einstieg, Professionals, Leitungsfunktion, Quereinstieg

Details zur Referent/in: Deborah Dormah Kanubala
Vita: Deborah Dormah Kanubala is a Doctoral Researcher at Saarland University in Germany and co-organizer of WiMLDS Accra-Ghana. Deborah is passionate about ensuring that machine learning systems are fair and inclusive. Her current research focuses on developing methods to measure and mitigate bias in algorithmic decision-making, particularly in contexts like lending, hiring, education and healthcare. Prior to her PhD, she worked as an NLP Engineer at Proto, where she applied machine learning to support inclusive digital financial services. She also lectured at Academic City University, where she mentored young talents in data science and AI. Ms. Kanubala is a recipient of several scholarships and grants, including the Mastercard Foundation Scholar Grant and the Alumnode Project Grant. Her work and leadership have been widely recognized, and she has been featured in “100 Brilliant Women in AI Ethics” (2024), “120+ Women Spearheading Advances in AI”, and “80 African Women Advancing AI”. She is also an active member of the AI Grid network for AI Talents.

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