Al Code of Ethics — Chapter Summary
ICSE · Class 11 · Artificial Intelligence
Summary of Al Code of Ethics for ICSE Class 11 Artificial Intelligence. Key concepts: AI ethics is a branch, Fairness and AI bias is systematic.
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Overview
AI ethics focuses on the moral implications of artificial intelligence. It sets guiding principles for responsible AI systems so that they support human values and social well-being. The chapter also shows how AI can create problems such as bias, privacy risks, unsafe decisions, fake media, job loss
Key Concepts
AI ethics is a branch
AI ethics is a branch of ethics that focuses on the moral implications of artificial intelligence. It asks how AI should be designed and used so that
Fairness
Fairness, transparency, accountability, privacy, and safety are the main guiding principles of AI ethics. These principles help AI systems behave in w
AI bias is systematic and repeatable
AI bias is systematic and repeatable error in an AI system that creates unfair outcomes. It can come from biased training data, flaws in algorithm des
Data privacy is the protection
Data privacy is the protection of personal data from those who should not have access to it, along with the ability of individuals to decide who can a
Robot ethics
Robot ethics, also called roboethics, refers to the morality of how humans design, construct, use, and treat robots and other artificially intelligent
Learning Objectives
- Understand AI ethics as the moral study of artificial intelligence
- Recognize the guiding principles of AI ethics: fairness, transparency, accountability, privacy, and safety
- Understand AI bias and its main causes
- Learn the meaning of data privacy and the importance of personal data protection
- Identify major ethical concerns such as surveillance, discrimination, human judgement, fake media, and job loss
Frequently Asked Questions
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Sources & Official References
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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