#algorithmic-bias

#algorithmic-bias

The move-fast digital economy has led to significant negative impacts on people's lives, highlighting the urgent need to address bias and discrimination in AI.

Algorithmic bias in rental applications can lead to discrimination, as highlighted by Mary Louis's case.

AI ethics discussions often lack clarity and consensus on terms like fairness.

Operationalizing ethical constructs in AI reveals complexities and challenges in establishing meaningful metrics.

AI-generated stories reflect gender stereotypes in medicine despite increased representation of women as doctors, indicating potential algorithmic biases.

AI can augment but not replace human financial advisers, as emotional nuances in advice require human involvement.