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FINDHR CV Data Donation Campaign
🗣️ Please consider donating your (anonymized) CV to advance research into bias mitigation in algorithmic hiring! With Randstad we are part of a consortium of research institutions (e.g., University of Amsterdam, Radboud Universiteit, Universitat Pompeu Fabra), civil society organizations (e.g., AlgorithmWatch), and companies (e.g., Adevinta) under the EU-funded FINDHR research project. The FINDHR project aims to: 1️⃣ create new ways to…
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Three papers accepted at RecSys in HR 2023
For this year’s edition (the third in a row) of the Recommender Systems in Human Resources workshop, to be held at the ACM RecSys Conference in Singapore, I co-authored three accepted papers: Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variant This paper is based on the MSc Data Science thesis of…
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in “Shaping the Future” podcast on inclusive algorithms
Happy I was invited to contribute to this podcast (🇳🇱) about inclusivity in algorithms. Together with Tekla de Veer from DEPT®, I talk with Jimmy de Vreede (Springbok Agency and the DDMA committee Data, Decisions & Engagement) about everything from bias in generative AI, composition of data science teams, to technological possibilities in reducing bias…
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Beyond Ethics Washing: Impact Assessments, Ausdits, and Oversight for AI panel recording available
CPDP Conferences published the recording of the “Beyond Ethics Washing” panel on YouTube, moderated by Mirko Tobias Schäfer (Utrecht University) with Iris Muis (Utrecht Data School), Paul Nemitz (European Commission), Maria Koomen (Open Governance Network for Europe) and myself. Watch it below (and watch all the other panels on CPDP’s YouTube channel):
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Interviewed by The Netherlands Institute for Human Rights
I was interviewed by the Netherlands Institute for Human Rights, along with Joke de Groot, director HR flex at Randstad Groep Nederland, on AI and bias in the context of algorithmic matching. Read the full article (in Dutch) here: ‘Collega’s zullen nooit volledig afgaan op wat onze algoritmes zeggen’
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DDMA Digital Talk: “De AI act: Zo bereid jij je optimaal voor”
I’ll be part of a panel during a Digital Talk by the DDMA, to talk about the AI Act, and its potential implications for data-driven marketeers, alongside Peter van der Putten (PEGA / Leiden Universiteit) and Romar van der Leij (DDMA). See all the details (in Dutch) at the DDMA event page.
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CPDP2023 panel “Beyond Ethics Washing: Impact Assessments, Audits, and Oversight for AI”
Update: see a writeup of our panel here Excited to be participating in a panel at the “Computers, Privacy & Data Protection” (CPDP) conference in Brussels. The panel is organized by Mirko Schäfer (Utrecht University), and I’ll be engaging in a conversation with Iris Muis (Utrecht Data School), Paul Nemitz (European Commission) and Maria Koomen…
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RecSys in HR 2023 Workshop at ACM RecSys 2023
Very excited that this year too I will engage in one of my favorite “extra-curricular activities” 😅: our proposal to organize the (third!) “Recommender Systems in Human Resources” workshop has been accepted in the the program of the 17th ACM Conference on Recommender Systems! After our first edition in Amsterdam in 2021, and the second…
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Guest lecture on “Job Recommendation” at RecSys Summer School 2023
I look forward to giving a guest lecture on “Job Recommendation” alongside Mesut Kaya at the RecSys Summer School 2023 in Copenhagen 🇩🇰! It was only 4 years ago when I stood side-by-side with Daan Odijk for a lecture and hands-on workshop on “Recommender Systems in the Media Industry,” at the last RecSys Summer School in 2019, which was…
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Featured in Recsperts on ‘Recommender Systems in Human Resources’
It is now official, right? I am now a recommender system expert (by virtue of appearing on Marcel Kurovski‘s Recsperts podcast series). It was great fun to geek out with a knowledgeable host on anything recsys in HR, we touch on fairness, difficulties with delayed feedback signals, our RecSys in HR Workshop, and how I…
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AI for Good at Felix Meritis
Yesterday evening I was a guest next to Dasha Simons (IBM) and Oumaima Hajri (Hogeschool Rotterdam) in Felix Meritis at the invitation of Laurens Vreekamp to talk about — among other things — fair AI, ethics, and algorithmic bias. It was nice and important to be able to discuss these topics from an optimistic and…
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“Transfer learning for multilingual vacancy text generation” preprint available
Anna Lőrincz‘ UvA MSc. data science thesis “Transfer learning for multilingual vacancy text generation” — which was graded a 9/10 💫 — was recently accepted at the The Second Version of Generation, Evaluation & Metrics (GEM) Workshop 2022 which will be held as part of EMNLP, December 7-11, 2022! Get the pre-print here: In her work, Anna explores…
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RecSys in HR 2022 Workshop Recording available
We have published the full recording of our RecSys in HR 2022 workshop, which we held September 22 in Seattle, WA, USA. The video is 5h42m43s long, so to guide you, I provide you the following list of highlights (see the video description for timestamps that will allow you to instantly skip to the sections described below): 1️⃣ Our first…
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The 2nd RecSys in HR Workshop
And that’s a wrap! Yesterday we had our RecSys in HR Workshop at the ACM RecSys 2022 conference. 👉 I was happy to (virtually) chair the workshop’s panel (with Helen Hulsker, Carlos Castillo (ChaTo), Liangjie Hong, and Robyn Rap). And hope the rest of the panel will take Helen’s suggestion to heart and book a ☕️ meeting with their lawyer colleagues soon…
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Panelist on ‘AI and Ethics’ at Reshaping Work 2022
I’m excited to be joining a panel on “AI and Ethics” at the Reshaping Work 2022 Conference on October 14 at de Rode Hoed in Amsterdam, alongside Robert Seamans (New York University) and Anastasia Sergeeva (Vrije University Amsterdam). The panel will be chaired by Ting Li (Erasmus University Rotterdam).