Irina Mirkina

Fundamentals of Responsible AI Models

We all know that technology amplifies the existing entanglement of social constructions, relations, and practices. If the perspectives of marginalised users are not considered in AI development, implicit biases and damaging practices will persist. But how do we implement responsible models in practice? In this session, let's talk about the fundamentals of responsible AI at all stages of development process, from data collection to model performance monitoring.

We all know that technology amplifies the existing entanglement of social constructions, relations, and practices. If the perspectives of marginalised users are not considered in AI development, implicit biases and damaging practices will persist. But how do we implement responsible models in practice? In this session, let's talk about the fundamentals of responsible AI at all stages of development process, from data collection to model performance monitoring.

We all know that technology amplifies the existing entanglement of social constructions, relations, and practices. If the perspectives of marginalised users are not considered in AI development, implicit biases and damaging practices will persist. But how do we implement responsible models in practice? In this session, let's talk about the fundamentals of responsible AI at all stages of development process, from data collection to model performance monitoring.

Irina has 15+ years of experience as a data scientist and policy expert and is a Professional coach, director, and mentor. In addition, she is a Professional speaker, presenter, and workshop facilitator with a PhD and a track of publications in political economy, investment analysis, and international relations.

She is proud to be an experienced manager of agile, multicultural teams

Buttonlinkedin
This website uses cookies to ensure you get the best experience. Learn more