Notas del episodio
What is ethical tech vs predatory tech?
What is algorithmic oppression?
Can training data be biased?
Is bias present when mal intent is absent?
Is it okay if there is no mal intent?
How does language and history impact the code we write?
How does perspective influence the technology we build and the people we build technology for?
Are all people represented in the data equally?
Is Facial Recognition Technology (FRT) biased / safe to use for all people alike?
Why does it matter if training data doesn't represent intersectional identities?
Are the big tech companies perpetuating these biases?
Should tech companies be held accountable?
Check out this episode to fi ...