RecSys in HR Workshop Recording available

For those who missed it — like myself 😏 — we have now published the full recording of our Recommender Systems in Human Resources (RecSys in HR) Workshop, which was held on October 1st, in conjunction with the ACM RecSys Conference in Amsterdam.

Our workshop included two keynotes, eight paper presentations, breakout sessions, a virtual panel on the topics of the upcoming EU framework on AI, Fair & inclusive HR Tech, and how to “activate hidden workers.” See the full program here.

So, if you have 4h33m to spare, see the full recording below! 

(or use the convenient YouTube chapter to jump through the program 😅)

Many thanks to all co-organizers, contributors, paper authors, and participants, both virtual and in-person! And hopefully we’ll see each other at the second edition ✌️.

AI & Data Science MSc thesis internship projects @ Randstad Groep Nederland

Another academic year, another (short)list of potential projects. Are you a final-year AI or data science student, interested in doing an internship with us? Reach out! First, read below why you would want to join us, and scroll further down for the following project descriptions:

  1. Job Description Generation (NLP)
  2. Conversational/QA approaches for resume information extraction (NLP)
  3. Segmentation of resumes (NLP, CV)
  4. Synthetic data for bias mitigation in recommender systems
  5. Career pathing
  6. Algorithmic planning
  7. Open project: IR, RecSys, NLP, or fair AI
Continue reading “AI & Data Science MSc thesis internship projects @ Randstad Groep Nederland”

Panel @ CPDP2020: "Algorithms and AI-driven technologies in the information society"

I was invited by UvA’s Information, Communication and the Data Society (ICDS) to participate in a panel at the Conference on Privacy and Data Protection, which was focused on AI.

The recording of the panel is now online, watch me telling a room full of (highly) privacy-aware (and cookie-averse) people that Cambridge Analytica nudging people to “politically activate them” with tailored information can be a “democratic good” 😅.

See the recording below:

For more information, see CPDP’s page of the panel.