Introduction to Data Ethics

‍Data plays a crucial role in decision-making, understanding the world, and shaping our future. However, with great power comes great responsibility. As such, ethical considerations surrounding data products are becoming increasingly important. In this blog post, we will explore the fundamentals of data ethics through real-world examples from the fields of data science and data engineering.

Topics in Data Ethics

Data ethics is a discipline that studies the implications of how data is collected, stored, used and shared. It is about making sure data is being managed and used responsibly. At its core, data ethics involves considering the legal and moral implications of data collection, storage, and use, as well as understanding the potential risks associated with data, such as privacy and security concerns.

• Need for recourse and accountability: Mechanisms have to be put in place for individuals to seek recourses if their data is mishandled and for organizations to take accountability for potential data misuse.
• Feedback loops: The latter can amplify and / or perpetuate in the data.
• Bias: Can lead to unfair or discriminatory treatment of individuals or groups.
• Disinformation: A significant issue in the digital age as the proliferation of false or misleading…