Data, AI and Society – What's in a name?
In this, the third HMI Data, AI and Society seminar, Maria De-Arteaga, Assistant Professor at the Information, Risk and Operation Management Department at the University of Texas, Austin, will discuss 'What's in a name? Understanding and mitigating semantic representation bias’.
Assistant Professor De-Arteaga's work characterises how societal biases encoded in data may be compounded by machine learning models. She will relate this to the political philosophy notion of compounding injustices and illustrate it in the context of automated recruiting.
In this, the third HMI Data, AI and Society seminar, Maria De-Arteaga, Assistant Professor at the Information, Risk and Operation Management Department at the University of Texas, Austin, will discuss ‘What’s in a name? Understanding and mitigating semantic representation bias’.
Assistant Professor De-Arteaga’s work characterises how societal biases encoded in data may be compounded by machine learning models. She will relate this to the political philosophy notion of compounding injustices and illustrate it in the context of automated recruiting.
