Data Science Ethics

Instructor: H.V. Jagadish

What you'll learn

  •   Examine the ethical and privacy implications of collecting and managing big data.
  •   Explore the broader impact of the data science field on modern society.
  •   Understand who owns data, how we value privacy, how to receive informed consent and what it means to be fair.
  • Skills you'll gain

  •   Data-Driven Decision-Making
  •   Data Governance
  •   General Data Protection Regulation (GDPR)
  •   Personally Identifiable Information
  •   Data Sharing
  •   Intellectual Property
  •   Sampling (Statistics)
  •   Ethical Standards And Conduct
  •   Big Data
  •   Information Privacy
  •   Diversity Awareness
  •   Data Ethics
  •   Social Sciences
  •   Data Analysis
  •   Data Security
  • There are 10 modules in this course

    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.

    History, Concept of Informed Consent

    Data Ownership

    Privacy

    Anonymity

    Data Validity

    Algorithmic Fairness

    Societal Consequences

    Code of Ethics

    Attributions

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