Главная
Study mode:
on
1
Introduction
2
Welcome
3
Data Literacy and Data Diversity
4
What is Data Diversity
5
Why Data Diversity is Important
6
Legacy Anonymization
7
Privacy
8
Legacy Anonymisation
9
AI Generated Synthetic Data
10
Benefits of Synthetic Data
11
Fairness and Diversity
12
Fair Synthetic Data
13
Diversity
Description:
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.

Don't Stop at Data Democratization - Data Literacy and Diversity in AI Systems

Data Science Conference
Add to list
0:00 / 0:00