Big Data
Coursera
Coursera course: Big Data Analytics
More resources on Big Data & Ethics
Ethics Guidelines for Trustworthy AI
EU high-level expert group on AI ethics
Data Ethics Roadmap
Amsterdam Data Science guide to ethical data practices
Data Science Ethics
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten." This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.
The Bias
The Talk é um podcast onde falamos de filmes, séries, músicas e saúde mental.
bigdataethics.org
BigDataEthics.org is a resource hub exploring ethical issues in big data, including privacy, fairness, accountability, and governance. It offers articles, case studies, frameworks, and teaching resources to analyze data-driven technologies.
datasociety.net
Data & Society is a research institute focused on the social and ethical implications of data-driven technologies. The site features research reports, policy briefs, articles, and event updates on topics like surveillance, privacy, algorithmic governance, and platform culture.