Jul 12
2024
The Ethical Considerations of AI Bias in Data-driven Decision Making
AI bias refers to situations in which artificial intelligence applications use inaccurate information or math that is biased or unjustly. When artificial intelligence systems fail to take into account flawed data or algorithms in selecting choices that are unfair or discriminatory it is referred to as AI Bias in data-driven decisions. Unequal treatment or perpetuating discrimination are only a few among many ethical dilemmas raised by this type of bias. To create equitable and just AI systems for all persons, this issue must be addressed by understanding and tackling AI Bias.