module
Postgraduate Module Descriptor
PHLM011: Data Governance and Ethics
This module descriptor refers to the 2022/3 academic year.
Overview
| NQF Level | 7 | ||
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| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module ran during term 1 (11 weeks) and term 2 (11 weeks) | ||
| Academic staff | (Convenor) Dr Stephan Guttinger (Convenor) | ||
| Pre-requisites | None | ||
| Co-requisites | None | ||
| Available via distance learning | No | ||
Data science, machine learning, artificial intelligence and “big data” have become central to every aspect of social life. How can these complex and powerful technologies best be managed and governed for the benefit of society now and in the future? In this module you will: (1) identify some of the main risks and ethical/legal challenges involved in the widespread automation and digitalisation of services characterising 21st century life (for example, the clash between individual desire for privacy, frameworks for data ownership and the institutional commodification of personal data); (2) examine whether and how such concerns can be handled; and (3) discuss the responsibilities of data scientists and other producers of technologies for data analysis towards their proper use.
| Module created | 30/11/2018 | Last revised | 09/05/2022 |
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