It is recommended to carefully consider which demographic data and for what purpose is fed...

Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems. Societal bias is the bias that results from the social norms, values, and expectations of a society or a culture. Societal bias can influence how people perceive, judge, and behave toward others, especially those who are different from them. Societal bias can also be embedded in the data that is used to train or validate AI models, which can then propagate or amplify the bias in the AI outputs or decisions. Therefore, it is recommended to carefully consider which demographic data and for what purpose is fed into an AI model, to avoid societal bias and its negative consequences. References: Salesforce AI Associate: How to Avoid Bias from Demographic Data in AI Models, Recognize Bias in Artificial Intelligence Unit | Salesforce Trailhead, Designing Personalized User Experiences with Data AI | Salesforce