TED: The era of blind faith in big data must end | Cathy O'Neil

The video discusses the pervasive use of algorithms in society, highlighting their potential biases and consequences. It explains how algorithms are built and trained, often embedding human opinions and biases. Through case studies, it illustrates the real-world impact of biased algorithms in education, employment, and justice. The video advocates for algorithmic audits to ensure fairness and accountability, urging viewers to demand transparency and ethical considerations in algorithmic design.

What is the speaker's perspective on the relationship between algorithms and fairness?

What is an algorithmic audit and why is it important?

In what ways can algorithms fail, and what should be considered when evaluating their accuracy?

What role do data scientists play in the ethical discussions surrounding algorithms?