Ready to watch?

To access this and all other video sessions from our past events create your FREE account today!

Already have an account? Login
Prathyusha Charagondla - 3 years ago
Algorithmic Bias- Preventing Unfairness in your Algorithms
We take algorithms for granted and assume that they are unbiased and neutral. An algorithm by definition, according to Merriam-Webster, is a “set of rules a machine [... specifically a computer] follows to achieve a particular goal.” As these rules are designed by humans, they can contain flaws that can lead to biases. A few outliers are expected, but when it leads to bias against certain groups, it can be problematic. Let's take an example - a few years back, Amazon attempted to create a hiring algorithm to efficiently select candidates. However, due to the nature of the historical data used to train the algorithm, it was biased against female applicants. The goal of this talk is to educate on algorithmic bias, present case studies to highlight the adverse effects of algorithmic bias, and address prevention strategies.
Featured jobs
supervisor_account ALDI SÜD
room Mülheim, Germany
stars Intermediate
translate English
Structured Query Language (SQL)
supervisor_account Zoi
room Berlin, Germany
room +6
stars Intermediate
euro_symbol 60-80K
translate English
Scripting (Bash/Python/Go/Ruby)
Security Architecture
supervisor_account Erste Digital
room Vienna, Austria
stars Junior
translate English
Automated Testing
Structured Query Language (SQL)