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Exam (elaborations)

Ethics and Systems Development in Information (Lecture Elaborations)

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This document explains the role of machine learning and artificial intelligence in strengthening cybersecurity defenses. It covers methods such as penetration testing, red teaming, phishing simulation, automated vulnerability scanning, and advanced persistent threat simulations. The notes also describe exploit generation techniques including fuzzing, reinforcement learning, and ML-based vulnerability detection. It provides practical insights into how AI tools are applied in both defense and offensive cybersecurity strategies.

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ETHICS AND SYSTEMS DEVELOPMENT IN
INFORMATION TECHNOLOGY
Principles of right and
Ethics
wrong guiding behavior.
Transformations in society
Social Change
due to new technologies.
Challenges arising from
Ethical Issues
technology use in society.

Misuse of Personal Information Improper handling or
sharing of pri-vate data.
Manipulated media that
Deep Fakes
misrepre-sents reality.

Lack of Oversight Insufficient regulation or
monitoring of technology.
Application of artificial
AI Use
intelligence in decision-making.
Systems operating independently
Autonomous Technology
without human intervention.


Environmental Impact Effects of technology
on natural ecosystems.
Conflict of Interest 1/21

, ETHICS AND SYSTEMS DEVELOPMENT IN
INFORMATION TECHNOLOGY
Situations where personal

interests conflict with duties.
Key ethical considerations
Moral Dimensions
in the infor-mation age.
Entitlements regarding
Information Rights
personal data privacy.
Legal rights to control and
Property Rights
protect in-tellectual property.
Responsibility for actions
Accountability
and their consequences.
Standards for data
System Quality
accuracy and relia-bility.
Values preserved in a
Quality of Life
knowl-edge-based society.

Doubling of computer power
Moore's Law
approx-imately every two years.

Data Storage Costs Declining expenses for
maintaining data archives.
Profiling 2/21

, ETHICS AND SYSTEMS DEVELOPMENT IN
INFORMATION TECHNOLOGY
Creating detailed individual
profiles from data sources.
Non Obvious Relationship Discovering hidden connections
Awareness (NORA) be-tween disparate data.

Revelations about government
Snowden Spy Leaks
sur-veillance and privacy.

Decisions considering
Ethical Choices
consequences of actions.
Acceptance of duties
Responsibility
and potential costs.
Legal responsibility for
Liability
damages caused.
Legal procedures ensuring
Due Process
fair appli-cation of laws.
Process of evaluating ethical
Ethical Analysis
dilem-mas in technology.
Golden Rule
Treat others as you wish to be treated.



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Number of pages
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Written in
2025/2026
Type
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