Tereza Blazkova
PhD Student in Social Data Science, University of Copenhagen
AI & Society | Algorithmic Fairness | ML | Education Data Science
tereza-blazkova.github.io
- Reposted by Tereza BlazkovaJoin us for a Data Discussion on December 12! 📅 Yani Kartalis will discuss content plurality in Greece’s fragmented media system, while Tereza Blažková will present on participatory design in predictive modeling for student success. Event🔗: sodas.ku.dk/events/sodas...
- Reposted by Tereza Blazkova[Not loaded yet]
- Reposted by Tereza BlazkovaJoin us for a Data Discussion on Friday, November 7! 📅 Daniel Juhász Vigild will start by exploring how government use of AI impacts its trustworthiness, while Stephanie Brandl will examine whether LLMs can identify and classify fine-grained forms of populism. Event🔗: sodas.ku.dk/events/sodas...
- Reposted by Tereza Blazkovatime to implement it into healthcare systems www.reddit.com/r/ChatGPT/co...
- Cheers from Learning@Scale poster 033 😋
- While human behavior and the data describing it evolve over time, fairness is often evaluated at a single snapshot. Yet, as we show in our newly published paper, fairness is dynamic. We studied how fairness evolves in dropout prediction across enrollment and found that it shifts over time.
- Depending on the time point and fairness metric, we observe both alarming disparities and confidence intervals that include zero.
- To learn more, check out our paper and TikTok-style video, or see my poster and talk this week in Palermo! Paper and video : dl.acm.org/doi/10.1145/... Poster session: learningatscale.acm.org/las2025/inde... Lightning talk: fair4aied.github.io/2025/
- Loved working on this with @kizilcec.bsky.social, Magnus Lindgaard Nielsen, David Dreyer Lassen, and @andbjn.bsky.social , thank you for the collaboration, looking forward to future work!
