GRA 6149 Compliance, Cybersecurity and Accountability
GRA 6149 Compliance, Cybersecurity and Accountability
This course offers an application-oriented introduction to real-world engagement with policymakers, discussing modes of operation and analytical tools through a stylized lifecycle of policy advisory. To this end, the course will examine legal, policy, and ethical issues that arise throughout the full information technology lifecycle from collection, to storage, processing, analysis and use, including, privacy, surveillance, security, classification, discrimination, decisional-autonomy, and duties to warn or act.
- What are the foundational paradigms of information ethics, and how do they relate to different ways of framing and resolving ethical issues in a number of disciplinary ways?
- What are ethical implications of Data, AI and Algorithms as either tools or agents in modern work and living environments?
- Which trajectory will Data Collection and Usage, AI and Algorithmic development take?
- Which are the best-case and which are the worst-case scenarios?
- How can we ethically manage Data, AI and Algorithms in the context of business analytics?
- How may these challenges be managed in light of key legislations such as the GDPR?
- Getting acquainted with the foundations of translational research and policy advising
- Understanding core elements of engagement with policymakers, including scope of work, iterative collaboration, co-design processes and dealing with the unexpected
- Understanding through exemplary cases how to inform and shape policy work
- Students will describe techniques for protecting privacy, sharing data ethically, and minimizing both collective and individual harm associated with data-driven organizational processes
- Critical Reflection on ethical and policy issues, and to perceive the various facets and viewpoints surrounding complex data ethics questions
- Reflection of the ethical and social implications that the application of advanced data analytics may bring to business and society, and the impact biased or incomplete data sets may have on stakeholders
- Be able to apply your understanding to problematize specific technologies, analyze and reflect critically on their impacts, think through various interventions and argue for how to develop technologies in more thoughtful ways
Foundations
- Introduction to (Translational) Research
- Lifecycle Policy Advisory Model
- Core Concepts, Methods, Values, and Skills
- Elements and Functions of Regulation
Issues
- Reputation and Human Rights
- Privacy and Surveillance
- Compliance
- Cybersecurity
Solutions
- Data Protection Law and the Ethical Use of Analytics
- Anonymization and Informed Consent
- AI Fairness, Accountability and Transparency
- Design Fiction, Resistance and Futures
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.
Mandatory coursework must be approved before taking the exam.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Disclaimer
Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.
| Mandatory coursework | Courseworks given | Courseworks required | Comment coursework |
|---|---|---|---|
| Mandatory | 1 | 1 | Creation and presentation of a poster that outlines the core ideas of the later paper submission |
| Assessments |
|---|
Exam category: Submission Form of assessment: Submission PDF Exam/hand-in semester: First Semester Weight: 100 Grouping: Group/Individual (1 - 3) Duration: 1 Semester(s) Comment: Paper on an information technology dilemma, its implications, and possible policy actions. Exam code: GRA 61491 Grading scale: ECTS Resit: Examination when next scheduled course |
| Activity | Duration | Comment |
|---|---|---|
Teaching | 14 Hour(s) | |
Webinar | 22 Hour(s) | |
Group work / Assignments | 44 | Collaborative learning and co-development of a “toolbox” for translational technology policy research/advisory |
Digital resources
| 100 Hour(s) | Course material (including additional material and resouces) will be provided on a learning platform. |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.