Understand core ethics concepts and challenges
Data ethics are vital pillars for the data science industry, ensuring that we minimise harm from data practices. In this article, we will explore some learning resources about data ethics.
Data Science Association
Provides codes and model guidelines on how professionals can work ethically. Besides an extensive code of professional conduct list, you can find resources such as academic papers, podcasts, videos and white papers. Filter through the resources to find seminars, courses, and presentation slides to help you understand data ethics.
Deon Data Ethics Checklist
The Deon command-line tool empowers you to create more ethical projects. You can customise the checklist to suit your individual or company needs; References to further reading and related data ethics tools are available.
22 Questions for ethics in data and AI
This article provides a framework for ethical data and AI products. By considering the questions asked in this article, you can develop more ethical practices and products. The blog post also points you to further resources to assist you in your understanding of data ethics.
General Data Protection Regulation
Everything from user rights to data protection, this website contains links about data protection in Europe. Key issues discussed include consent, right to access, privacy by design and more. The information on this website aligns with rules relating to data protection.
Data Science Ethics
The data ethics course delivered by the University of Michigan via Coursera looks at ethical considerations regarding privacy and control of data. A flexible beginner’s course that requires approximately 15 hours to complete: With over 25,000 enrolled pupils, it is an excellent start to data ethics for data professionals.
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