Alexandra Ebert
where else to find them
github:AlexandraEbert
linkedin:alexandraebert
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
who talks about the same things
- A.Kalam2 talks
- Kesha Williams7 talks
- Wolfgang Weidinger3 talks
- Quiana Berry5 talks
- Arun Vivek Supramanian2 talks
- Katharine Jarmul25 talks
| title | conference | date |
|---|---|---|
| The Synthetic Data Spectrum: Where Does Anonymisation Start and Privacy-preserving end? | CPDP 2024 | 2024-05-22 |
Panel argues synthetic data is not magic: industry uses it mainly for AI training and product development (banks, insurers, telcos, public sector), but… | ||
| Responsible AI: Rewriting or Repeating History? | DSC Europe 23 | 2023-11-20 |
History shows concrete failures and fixes: photographic tech takes 110 years until color photos serve darker skin, car safety goes from red flags to airbags… | ||
| Interview with Alexandra Ebert | DSC Europe 23 | 2023-11-20 |
Claim: no model is unbiased but the target is to identify and remove unwanted or unintentional biases, not chase impossible neutrality. Practical route uses… | ||
| (Un)Ethical Machines? Why AI Bias Is a Problem and What to Do About It | DSC DACH 2023 | 2023-04-20 |
Examples where models deny women access to credit and label dark‑skinned people as gorillas anchor the claim that bias comes from training data and historical… | ||
| Don't Stop at Data Democratization! | DSC Europe 2022 | 2022-11-14 |
Generative AI creates structured synthetic data that breaks one-to-one links to real people while preserving correlations and time dependencies so models… | ||
| Synthetic Data for Privacy, AI Fairness and Democratizing Data Access | Big-Data.AI Summit 2022 | 2022-09-14 |
Synthetic data generated by MOSTLY AI and demonstrated with NVIDIA research claims near-identical statistical utility to real records while remaining out of… | ||
| nothing matches | ||