Ethics in Natural Language Processing

Natural Language Processing and the Web

Teaching Staff

  • Prof. Dr. Iryna Gurevych
  • Dr. Thomas Arnold
  • Tilman Beck

We currently do not have fixed office hours, so please contact us by mail to get an appointment.

Organization

  • Lecture: Thursday 09:50-11:30, Room S202 / C120 starting April 18
  • Practice class: Thursday 11:40-13:20, Room S202/C120 starting April 25

The learning material is available from the Moodle eLeaning platform.

Registration

If you plan to participate in this course, please register on Tucan.

Requirements

To pass, each student has to take the written exam at the end of the semester.

There will also be homework assignments in the practice class which will contribute to your overall grade.

Exam

  • Date/Time: August 14, 14:00 – 16:00 (not final yet)
  • Room: S306/051

Course content

Machine Learning and Natural Language technologies are integrated in more and more aspects of our life. Therefore, the decisions we make about our methods and data are closely tied up with their impact on our world and society. In this course, we present real-world, state-of-the-art applications of natural language processing and their associated ethical questions and consequences. We also discuss philosophical foundations of ethics in research.

Processing of unstructured web content

  • Introduction
  • Philisophical Foundations, History
  • Bias and Misrepresentation
  • Incivility in Communication
  • Privacy & Security
  • Language of Manipulation

Goals

After completion of the lecture, the students are able to

  • Explain philosophical and practical aspects of ethics
  • Show the limits and limitations of machine learning models
  • Use techniques to identify and control bias and unfairness in models and data
  • Demonstrate and quantify the impact of influencing opinions in data processing and news