Al Code of Ethics
ICSE · Class 11 · Artificial Intelligence
Quick revision notes for Al Code of Ethics — ICSE Class 11 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
1. Meaning of AI Ethics
- Ethics is based on well-founded standards of right and wrong that prescribe what humans ought to do, usually in terms of rights, obligations, benefits to society, fairness, or specific virtues.
- AI ethics is a branch of ethics that focuses on the moral implications of artificial intelligence.
- AI ethics aims to make AI systems align with human values and social well-being.
2. AI Bias and Discrimination
- AI bias refers to systematic and repeatable errors in an AI system that create unfair outcomes.
- Bias can come from biased training data, flaws in algorithm design, or human developer bias.
- Biased training data teaches the AI to repeat old unfair patterns.
3. Data Privacy and Data Collection
- Data privacy means protection of personal data from those who should not have access to it and the ability of individuals to decide who can access their personal information.
- Personal data includes names, addresses, phone numbers, email addresses, financial information, health records, biometric data, browsing history, social media posts, and location data.
- Smartphones collect a large amount of data because they contain many sensors and apps.
4. AI Gone Wrong and Accountability
- Tay was a Microsoft chatbot released on March 23, 2016 through Twitter and shut down after 16 hours because it posted inflammatory and offensive tweets.
- Tay is an example of AI gone wrong.
- Sidewalk Labs, a subsidiary of Google, faced backlash over a smart city project in Toronto because of lack of clear ethical standards for data handling.
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