Ethical Concerns of Artificial Intelligence — Syllabus
ICSE · Class 11 · Entrepreneurship
What Ethical Concerns of Artificial Intelligence covers in ICSE Class 11 Entrepreneurship: 4 topics, for the 2026-27 session.
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Topics in Ethical Concerns of Artificial Intelligence
1. AI in Entrepreneurship and Ethical Need
- AI helps businesses work faster, reduce human errors, lower costs, and make decisions using large amounts of data.
- Entrepreneurs use AI for chatbots, predictive analytics, recommendation engines, automated accounting, smart inventory systems, and facial recognition.
- AI is powerful, but power without ethics can harm people and society.
2. Data Privacy
- AI systems work effectively only when trained on large volumes of data.
- Data privacy means protecting personal and sensitive information from unauthorised access, misuse, alteration, or disclosure.
- It ensures individuals keep control over how their information is collected, stored, shared, and used.
3. Bias in Algorithms
- AI systems learn patterns from historical data.
- If the data reflects existing inequalities, the AI may replicate and amplify those biases.
- Algorithmic bias occurs when AI systems produce unfair or discriminatory outcomes due to biased training data, flawed design, or incomplete testing.
4. Lack of Transparency
- Many AI systems, especially deep learning systems, use complex mathematical models that are difficult to interpret.
- Such systems are often called black boxes because users cannot clearly understand how decisions are made.
- Transparency is important when AI affects loans, insurance claims, medical diagnoses, and other important decisions.
Key Concepts
Central concept: Ethical AI in Entrepreneurship
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Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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