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Learner Reviews & Feedback for Data Ethics, AI and Responsible Innovation by The University of Edinburgh
13 ratings
About the Course
Our future is here and it relies on data. Medical robots, smart homes and cities, predictive policing, artificial intelligences – all are fuelled by data and all promise new benefits to society. But will these innovations benefit everyone? Who stands to gain and who is put at risk? How can we ensure that data is part of a just and sustainable world?
This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible research and innovation, and informed by case studies supplied by digital business frontrunners and tech companies.
We will look at real-world controversies and ethical challenges to introduce and critically discuss the social, political, legal and ethical issues surrounding data-driven innovation, including those posed by big data, AI systems, and machine learning systems. We will drill down into case studies, structured around core concerns being raised by society, governments and industry, such as bias, fairness, rights, data re-use, data protection and data privacy, discrimination, transparency and accountability.
Throughout the course, we will emphasise the importance of being mindful of the realities and complexities of making ethical decisions in a landscape of competing interests.
Join us as we explore these increasingly important topics further.
Top reviews
AK
Aug 19, 2024
A lot of thought-provoking questions which is a plus in this course. Really appreciate the effort made by the trainers and university.
ES
May 26, 2024
Very insightful and would highly recommend to anyone in any field.
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1 - 2 of 2 Reviews for Data Ethics, AI and Responsible Innovation
By Adam G C K
•Aug 20, 2024
A lot of thought-provoking questions which is a plus in this course. Really appreciate the effort made by the trainers and university.
By Ethan S
•May 27, 2024
Very insightful and would highly recommend to anyone in any field.