Wiebke (Toussaint) Hutiri
I am an experienced researcher who has worked in machine learning, data science, data governance, and engineering for over a decade. I have taken on many roles from programmer to project owner and collaborated with people in the non-profit, commercial, academic and public sectors, to serve the e-commerce, electricity, healthcare, biometrics and consumer technology industries. Multi-lingual, culturally sensitive and glocally (globally + locally) minded, I have successfully executed projects with collaborators and stakeholders in Europe, Africa, North America and Australia.
I am currently completing my PhD at the Technology, Policy and Management Faculty at the Technical University of Delft in the Netherlands, where I work under the supervision of Dr. Aaron Ding and am promoted by Prof. dr. ir. Marijn Janssen. My thesis focuses on design patterns for detecting and mitigating bias in Edge AI. In my research and practice I seek to understand the characteristics and limitations of AI systems by building testing frameworks to characterise trustworthiness aspects, like fairness. I view AI systems as a powerful technology that can enable large, engineered systems to be flexible, personalised and adaptive. As such, they must be trustworthy and behave reliably in complex and safety-critical applications. During my PhD I have worked as a summer research intern at Nokia Bell Labs in Cambridge
I hold a MSc in Computer Science and a BSc in Mechanical Engineering from the University of Cape Town, where I studied under the supervision of Assoc. Prof. Deshen Moodley and Prof. Tommie Meyer. Prior to my PhD I co-founded Engineers Without Borders South Africa, a non-profit organisation with the mission to empower engineers to empower communities. I am a fellow of the Diverse Intelligences Summer Institute (St Andrews, 2022), Data Science for Social Good (London, 2019) and the TechWomen programme (Silicon Valley, 2018). I am always open to conversations about AI and consciousness, large scale infrastructure development and transformation.
|Apr 20, 2023||Just published: our new paper on bias, fairness, design choices and on-device ML in ACM Transactions.|
|Jul 24, 2022||Off to the Diverse Intelligences Summer Institute in St Andrews, Scottland.|
|Jun 20, 2022||I am at ACM FAccT to present our paper on Bias in Automated Speaker Recognition.|
|Jun 15, 2022||Our paper with Design Guidelines for Inclusive Speaker Verification Evaluation Datasets has been accepted to Interspeech 2022.|
|Jan 27, 2022||My new project FairEVA has been selected for the inaugural cohort of the Mozilla Technology Fund!|
|Jan 21, 2022||Read our pre-print on reliability bias in tiny ML.|
|Nov 17, 2021||At AIChallengeIoT 2021 at SenSys to talk about pre-processing parameters in tiny audio.|
|Jun 19, 2021||Off to Cambridge to start my summer internship at Nokia Bell Labs!|