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Leaving Certificate Computer Science Notes: Ethics of Computing

Updated: Nov 25, 2024

Keywords: Leaving Certificate study notes, Leaving Certificate Computer Science notes, Ethics of Computing, Leaving Certificate, Computer Science, Digital Ethics, Data Privacy, Responsible Computing, Ethical Issues, Technology Impact, Cybersecurity Ethics, Professional Conduct

Key Takeaways: Ethics of Computing

  • Understanding Ethical Issues in Computing: Computing ethics involves the responsibility to make decisions that are fair, responsible, and respectful of individuals' rights. This includes issues like privacy, security, and data protection.

  • Data Privacy and Protection: The ethical management of personal data is critical. Organizations must follow laws such as GDPR to ensure that user data is securely stored, processed, and never misused.

  • Artificial Intelligence (AI) Ethics: As AI becomes more integrated into society, it raises ethical concerns, such as ensuring that AI systems are transparent, unbiased, and do not harm individuals or society.

  • Digital Divide and Accessibility: Ethical computing includes addressing inequalities in access to technology. It's important to create solutions that are accessible to all, regardless of economic background or physical ability.

  • Environmental Impact of Computing: The ethical responsibility extends to how computing affects the environment. Sustainable practices in hardware production, energy consumption, and e-waste management are essential for a greener future.





Important Takeaways: Ethics of Computing – Leaving Certificate Computer Science

  • Ethics in Computing: Ethics in computing refers to the moral principles that guide the use of technology. It focuses on ensuring that technology benefits society, respects privacy, and avoids causing harm. Key ethical principles include honesty, fairness, transparency, and confidentiality.

  • AI Development Guidelines: The EU's ethical guidelines for trustworthy AI focus on human oversight, safety, privacy, and fairness. These guidelines ensure AI technologies respect fundamental rights, contribute positively to society, and promote social and environmental well-being.

  • Cybercrime & Security: Cybercrime poses significant risks, including hacking, ransomware, and identity theft. To mitigate these risks, it’s crucial to use anti-virus software, strong passwords, firewalls, and encryption to protect personal and business data from attacks.

  • Ethical Hacking: Ethical hacking involves authorized testing of systems for vulnerabilities by simulating cyberattacks. This practice helps strengthen security and prevent malicious breaches, ensuring safe and effective cybersecurity measures.

  • AI Ethics: AI offers opportunities in fields like healthcare and automation but also presents challenges, such as data privacy concerns, job displacement, and ethical decision-making. Balancing innovation with ethical responsibility is crucial for the sustainable development of AI.

Keywords: Ethics of Computing, Leaving Certificate, Computer Science, Digital Ethics, Data Privacy, Responsible Computing, Ethical Issues, Technology Impact, Cybersecurity Ethics, Professional Conduct

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