What is ethics?
Moral principles that guide how people behave and make decisions about what is right and wrong
Why is ethics important?
It helps guide behaviour towards the common good, encourages honesty, fairness, and responsible decision-making.
What is the difference between ethics and law?
Law is enforced by governments with punishments; ethics are moral principles that guide behaviour but are not legally enforced.
Can something be legal but unethical?
Yes — ethics go beyond what is legally allowed.
What is digital ethics?
The responsible handling of data and new technologies beyond just legal requirements.
Why is digital ethics important for businesses?
It builds trust, manages risk, and helps companies differentiate themselves by acting responsibly.
Digital ethics focuses on what three areas?
- Ethics of data
- Ethics of algorithms
- Ethics of practice
What does the ethics of data focus on?
How data is generated, recorded, used, and shared.
What is the principle of data ownership?
Individuals own their personal data and must give consent for it to be collected.
Why is collecting data without consent unethical?
It violates personal ownership and individual rights.
What is the principle of transparency in data ethics?
People have the right to know how their data is collected, stored, and used.
What is the principle of privacy?
Even with consent, personal data should not be made public without protection.
What methods protect data privacy?
De-identification and strong data security measures.
What does PII stand for?
Personally Identifiable Information.
Why does intention matter in data ethics?
Organisations must consider why they need data and how it will be used.
What is meant by ethical outcomes?
Even good intentions can lead to harmful consequences.
What is a disparate impact?
When data analysis unintentionally harms certain individuals or groups.
What is GDPR?
The General Data Protection Regulation — the strongest data protection law in the world.
Who does GDPR apply to?
Any organisation that collects or targets data from people in the EU.
Why is AI ethically challenging?
AI can reinforce bias, lacks transparency, and can have unpredictable outcomes.
What does “black box” AI mean?
AI systems whose decision-making processes are difficult to understand or explain.
What does fairness in AI involve?
Avoiding bias and ensuring impartial decision-making
What does human-centric AI mean?
AI should support human goals and benefit society.
What does secure and safe AI mean?
Protecting data, privacy, and ensuring safe operation
