Educational output of the year 2021-2022

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Research projects of Civic AI Lab focus on developing advanced AI technology that promotes economic and social human rights, such as the right to health, education and employment, while respecting fundamental human rights such as non-discrimination and equality. A big part of our focus is knowledge dissemination and providing information to the public about just and inclusive AI. We do that with blog posts that explain & engage the general public, by providing interviews and talks about fair AI and by supervising students (BSc and MSc). Here you can find some of these activities:

Interviews:

• Is ai zegen of vloek voor maatschappij? for Computable Magazine

• Awards moeten zwarte mensen inspireren om ook hoge positie te bereiken for Trouw

• Hoe kunnen computers je anders laten denken? for Algemeen Dagblad

• De AI voor meer kansengelijkhei for De Nationale Data Podcast

• Discriminerende algoritmen en EU regulering for NTRT Atlas

• Hoe kunnen mensen leren van de fouten die AI maakt? for Curiosophy Podcast

• Een algoritme om de wereld eerlijker te maken for NRC Podcast

• AI Ethics: Preventing Harms & Doing Good for Daily Data Bytes

• We must aspire to develop an AI that supports humanity the interview is in Spanish, for Ubbiquo Global

Talks:

• A practitioner’s perspective on mitigating AI bias, WiDS - The Netherland, with the Women in data science

• Algorithmic fairness in the wild: a conversation, with the AI Tech Week: Research

• Cooperation and coordination dynamics in collective index insurance, with the Conference on Complex Systems 2021

• Response to 2021 Tanner Lecture on AI and Humand Values, with the Critical Borders: Radical (Re)visions of AI Conference

• Fair and Inclusive Algorithms, with the ING Data Science Community Conference

• Inclusive Algorithms, with the NEMO Science Museum

• AI, bias and society, for the Nederlands Mathematisch Congres

• AI Bias in Practice: Technical & Ethical Issues, with the AUCMUN'21: Amsterdam University College Model United Nations

• Synthetic Data & Fair AI, with the Dataiku Seminar Series

• The impact of link recommendation algorithms in polarization and consensus dynamics, with the Complex Networks 2021 - Conference, Madrid

Talks with students:

• General Q&A session with BSc Anthropology students on Fair and Explainable AI

• Basics of AI Ethics and Bias Analysis, Invited Lecture at the Ecole Nationale de la Statistique et de l' Analyse Informatique - ENSAI (France)

• The impact of social perception biases in collective action dynamics, Invited-lecture, Computer Science Department Seminars, Université Libre de Bruxelles

• CAIL and fair AI in the city of Amsterdam, for the MSc students of the TPM faculty, at TUDelft

• Ethics of Hybrid Intelligence, Invited-lecture in Ethics and Privacy Course, for the MSc. AI at VU

Topics of thesis supervision at BSc and MSc level:

• MSc. Thesis: Unsupervised Bias Discovery

• MSc. Thesis: RecSys in HR

• MSc. Thesis: XAI and Bias Analysis

• MSc. Thesis: Causal Models for Fair Student Assessment

• BSc. Thesis: Emotion Recognition in HR