sonamDiversity & Inclusion, Ethics (Privacy, Fairness,… ), Natural Language Processing
Study of gender biases in popular language models and debiasing model techniques
GathaData Engineering, Ethics (Privacy, Fairness,… ), Governance
Synthetic data not only address the privacy needs but also offer workaround for unprecedented situations. This talk introduces their different types, the options for their generation, and how you don't need to be a mad scientist to make realistic synthetic data
Stefanie StoppelEthics (Privacy, Fairness,… ), Neural Networks / Deep Learning
AI is not neutral and its creation often perpetuates harmful biases. My talk highlights how difficult it is to build "fair and responsible" AI, but also why it's worth to try & prevent these algorithms from cementing existing injustices.