Description: The Data Ethics Framework is a structured approach to understanding and addressing ethical issues in the use of data, especially in the context of artificial intelligence (AI). This framework aims to ensure that decisions made from data are fair, transparent, and accountable. It focuses on identifying and mitigating biases that may arise in AI algorithms, promoting equity and inclusion. Additionally, it advocates for explainable artificial intelligence, where the processes behind automated decisions are understandable to users and stakeholders. AI ethics becomes a fundamental pillar, as organizations are required not only to comply with legal regulations but also to act ethically and responsibly in data handling. This framework applies not only to tech companies but is also relevant for governments, educational institutions, and non-profit organizations, which must consider the ethical implications of their data-driven decisions. In an increasingly digital world, the Data Ethics Framework becomes an essential tool for fostering trust and accountability in technology use, ensuring that the benefits of AI are distributed equitably and that risks associated with bias and lack of transparency are minimized.
