Artificial intelligence and social inequality
1. Bias in Data and Algorithms AI operates on data, and if the data contains bias, AI models will perpetuate or even amplify inequality. These biases are often unintentional but stem from data that is not representative of society as a whole. This leads to discrimination, especially in areas such as employment, credit, and the justice system. For example: Amazon's recruiting algorithm once eliminated many female candidates from technical positions, because the system's training data was mainly based on male profiles. Bias in data leads to inequality when applying AI. 2. Impact on Employment and the Labor Market One of the biggest challenges of AI is automation, which leads to many...