- From www.edx.org
Data Ethics, AI and Responsible Innovation
- 7 Sequences
- Intermediate Level
- Starts on May 8, 2022
- Ends on July 3, 2022
Course details
Syllabus
- Understand and articulate the critical, social, legal, political and ethical issues arising throughout the data lifecycle.
- Understand relevant concepts, including: ethics/morality, responsibility, digital rights, data governance, human-data interaction, responsible research and innovation.
- Identify and assess current ethical issues in data science and industry.
- Apply professional critical judgement and reflexivity to moral problems with no clear solutions.
- Evaluate ethical issues you face in your current professional practice.
- Identify and apply ethically driven solutions to those issues.
Prerequisite
General IT literacy and secondary school maths.
Instructors
Ewa Luger
Chancellor's Fellow
The University of Edinburgh
Michael Rovatsos
Professor
The University of Edinburgh
Burkhard Schafer
Professor
The University of Edinburgh
Morgan Currie
Lecturer
The University of Edinburgh
Robin Williams
Professor
The University of Edinburgh
Claudia Pagliari
Senior Lecturer
The University of Edinburgh
Sarah Chan
Chancellor's Fellow
The University of Edinburgh
James Stewart
Lecturer
The University of Edinburgh
Lachlan Urquhart
Lecturer
The University of Edinburgh
Simon Fokt
Project Lead
The University of Edinburgh
Shannon Vallor
Professor
The University of Edinburgh
Editor
The University of Edinburgh is a British university, founded in 1583 during a period of rapid development for the city of Edinburgh. It is considered to be one of the most prestigious universities in the world.
Having counted among its students inventors of the Industrial Revolution, it has more students than any other Scottish university and is one of the largest universities in the United Kingdom.
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