Главная
Study mode:
on
1
Intro
2
The birth of AI
3
Who is funding AI
4
Big Tech buying everything
5
Where did they come from
6
How were they labeled
7
Gender Shades
8
Diversity and Classification
9
Hiring and Firing
10
Amazon
11
Demographic Parity
12
AI Feedback Poop
13
Solutions
Description:
Explore the critical issue of AI bias and its societal impact in this thought-provoking conference talk from EuroPython 2021. Delve into real-world examples of algorithmic discrimination, examining how AI systems can perpetuate and amplify existing social inequalities. Uncover the misconception of AI neutrality, learning how stereotypes are inadvertently transferred into these technologies through data collection, development processes, and societal applications. Gain insights into the challenges of building fair and responsible AI, and discover potential solutions to prevent AI systems from reinforcing injustices. Examine the role of big tech companies in AI development, the importance of diverse data sets, and the consequences of biased algorithms in various domains such as facial recognition, loan approvals, and hiring processes. Leave with a deeper understanding of the ethical considerations surrounding AI and the steps needed to create more equitable technological solutions.

The Myth of Neutrality - How AI is Widening Social Divides

EuroPython Conference
Add to list
0:00 / 0:00