Don't Stop at Data Democratization - Data Literacy and Diversity in AI Systems
Data Science Conference via YouTube
Overview
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Watch a 17-minute conference talk from Data Science Conference Europe 2022 exploring how synthetic data goes beyond data democratization to address crucial aspects of data diversity in AI systems. Delve into the importance of creating AI systems that are responsible, human-centric, and equitable by ensuring diversity not only among data professionals but also within the data itself. Learn how synthetic data generation can overcome the limitations of traditional anonymization methods while enabling access to datasets that represent the full spectrum of human diversity, rather than just average demographics. Discover the intersection of data privacy, fairness, and diversity in AI development, and understand how synthetic data can be leveraged to create more inclusive and representative AI solutions that benefit all segments of society.
Syllabus
Introduction
Welcome
Data Literacy and Data Diversity
What is Data Diversity
Why Data Diversity is Important
Legacy Anonymization
Privacy
Legacy Anonymisation
AI Generated Synthetic Data
Benefits of Synthetic Data
Fairness and Diversity
Fair Synthetic Data
Diversity
Taught by
Data Science Conference