Algorithmic Bias
Algorithmic bias poses significant ethical challenges in AI, potentially perpetuating discrimination. Ensuring fairness in machine learning models is key to building more equitable AI systems.
Algorithmic bias occurs when AI systems exhibit prejudice or unfair behavior due to biased data or flawed algorithms. This can result in discrimination against specific groups of people in areas such as hiring, law enforcement, or loan approval. Addressing algorithmic bias is a critical challenge in AI development to ensure fairness and inclusivity in automated decision-making systems.