Data Ethics, AI and Responsible Innovation

University of Edinburgh via edX

edX based on 26 ratings

Likes

Overview

How much would you like your smart home to know about you? Has your data been harvested and used for political advertising on social media? Would you be happy to be profiled by a predictive policing AI? As we create more data-driven technologies, those issues become increasingly urgent. We must begin to ask not only what can we do?, but also what should we do? How should we design new technologies to make sure they are used for good, not...

Syllabus

Describe the critical, social, legal, political and ethical issues arising throughout the data lifecycle.
Explain 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.