The Myth of Neutrality - How AI is Widening Social Divides

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.

Intro
The birth of AI
Who is funding AI
Big Tech buying everything
Where did they come from
How were they labeled
Gender Shades
Diversity and Classification
Hiring and Firing
Amazon
Demographic Parity
AI Feedback Poop
Solutions