This topic explores the ethical and legal implications of digital technology, focusing on data privacy, ownership, and consent. It also examines the societ
Topic Synopsis
This topic explores the ethical and legal implications of digital technology, focusing on data privacy, ownership, and consent. It also examines the societal impacts of emerging technologies like artificial intelligence, machine learning, and robotics, alongside methods for protecting intellectual property.
Key Concepts & Core Principles
- The Data Protection Act 2018 (DPA) controls how personal data is used, requiring consent, transparency, and security. It gives individuals rights to access and correct their data.
- The Computer Misuse Act 1990 makes it illegal to access a computer without permission (hacking), access with intent to commit further offences, or modify data without authorisation (e.g., viruses).
- The Copyright, Designs and Patents Act 1988 protects intellectual property, including software, music, and text. Unauthorised copying or distribution (piracy) is illegal.
- Ethical issues include privacy (e.g., surveillance), environmental impact (e-waste), and the digital divide (unequal access to technology). You should be able to discuss both positive and negative effects.
- Professional codes of conduct, like the ACM Code of Ethics, guide computing professionals to act responsibly, respecting privacy, avoiding harm, and being honest.
Exam Tips & Revision Strategies
- Use specific terminology such as 'algorithmic bias' or 'legal liability' when discussing AI
- Ensure answers clearly distinguish between ethical (moral) and legal (statutory) considerations
- Practice applying these concepts to real-world scenarios provided in the exam paper
Common Misconceptions & Mistakes to Avoid
- Confusing the purpose of different intellectual property protections (e.g., copyright vs. patents)
- Failing to link AI/robotics issues to specific concepts like algorithmic bias or legal liability
- Providing generic answers about 'privacy' without referencing legal frameworks or data protection principles
Examiner Marking Points
- Identification of ethical issues regarding personal data collection and usage
- Explanation of legal requirements for data protection and consent
- Discussion of accountability and safety concerns in AI and robotics
- Recognition of algorithmic bias and its societal impact
- Distinction between copyright, patents, trademarks, and licensing for IP protection