Data Ethic

Data ethics focuses on the responsible collection, use, and interpretation of data, aiming to mitigate biases, protect privacy, and ensure fairness in algorithmic decision-making. Current research emphasizes developing practical tools and frameworks for integrating ethical considerations into data science workflows, addressing issues like informed consent, data ownership, and the inherent trade-offs between accuracy and fairness in machine learning models. This field is crucial for building trust in data-driven technologies and ensuring their equitable application across diverse cultural and societal contexts, impacting everything from healthcare AI to industrial applications.