Offensive and stereotypical terms often appear in openly available datasets, CWI researchers found. These datasets risk spreading cultural stereotypes further, as they power many applications (such as online dictionaries) and machine learning algorithms. 👉 https://t.co/rRxHUNXf0G

📢We've got quite the line-up for you on 8 February: @jrglmn Sara Veldhoen @vera__pro Gertjan Filarski Fabio Mariani @AlamShoilee @and_nesterov + sneak peeks at upcoming projects in the #Cultural_AI space. More info & registration at: https://t.co/EfTsKT2XbI #SpreadTheWord

If you're at @eswc_conf, I would be glad to see you at my presentation about this research on June 1st at 11:40 (room Orpheas). And thanks to ESWC organisers for nominating our paper for Best Resource paper!

Read more about how we developed a knowledge graph of contentious terminology in our paper. It's freely available in the @CWInl repository: https://t.co/YhSHjXuaBH Thanks to my co-authors @laurahollink @merpeltje @jrvosse !

Having experts’ suggestions in machine readable format will help contextualise the usage of controversial terms in digital collections and other datasets.

If we search for the term “slave” in Europeana, we’ll get aroudn 9K hits. In some cases, this term refers to people. At the same time, “Words Matter” recommends to use “enslaved person” to avoid “normalising the category ‘slave’ as an inherent identity of a person”.

At @cultural_ai, we've developed a knowledge graph of controversial terms and linked them to cultural heritage experts' explanations, suggestions, and other datasets (for example, Wikidata). We based our work on the publication "Words Matter" by @Tropenmuseum

Historical stereotypes are a part of cultural heritage. We have access to millions of heritage objects online. And many of them contain outdated and offensive language, which we wouldn’t use today. How can we make representation of cultural heritage more inclusive and respectful?

Want to come work with me on my new #ERCCoG project TRIFECTA? The vacancy for the first #PhDstudent is now open: https://t.co/cOY1yVyDmP #nlproc #semweb #digitalhumanities #jobalert @ERC_Research @KNAWHuC Application deadline: 10 May, starting date 1 Nov... 1/n

Postdoc position on "Diverse and Inclusive AI for the Media Sector" https://t.co/Y4gjk85G0w In the HCDA group of @CWInl, incl. collaboration with @BeeldenGeluid, part of the new, interdisciplinary AI, Media and Democracy Lab ( https://t.co/1EWf96JMtK)

Team Cultural AI won the Meerstemmigheidsprijs at HackaLOD! 🥳They build an interactive 3D interface that gives users a unique exhibition with artworks that are seen through the eyes of different cultures. https://t.co/OC9ywdE0ti

Team Cultural AI wint de Meerstemmigheidsprijs van de #hackaLOD 2022!

Interested in #Humanities, #AI and/or #CulturalHeritage? Join us in Utrecht on 22 September to hear about our latest research!

I/O Magazine interviewed @CWInl's @laurahollink, July 2022: ‘Since the cultural sector upholds high moral standards, it is the perfect context to research how AI and data science impact real people in the real world.’ https://t.co/AKtKxWFkDX @ewm_nl #IPN @NWONieuws @NWO_Science

Grateful to debut as a @FAccTConference author @ #FAccT2022 , with an interdisciplinary work I am very excited about! As a researcher working on data-driven information filtering (e.g. in recommendation), it's an ongoing challenge to let systems make inclusive selections. [1/3]

https://t.co/zhHIcNAE4j

Want a quick recap of the first paper session? Check out these awesome impressions by @WhiteBoardG! #kcap2021 #knowledgecapture #graphics

If you're attending @kcap2021, join our #ConConCor team today at 6 PM CET (Session 2, paper 47). @brate_ryan and I will present the corpus of contentious terms in context and answer your questions live!

PhD vacancy at @CWInl on "Responsible Recommenders in the Public Library," translating cultural values and ethical principles into concrete metrics, experiments and recommender system design. Co-supervised by @informusiccs @jrvosse @KBNLresearch and me

The first paper of the @cultural_ai team got accepted to @kcap2021⭐️How to identify controversial terms in heritage collections? And how can it contribute to more inclusive historical objects descriptions and culturally aware AI? Join us in December!