AI Ethics and Morality Notes
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Uploaded by CelebratoryAsteroid
Harvard Junior High
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Summary
This document explores waEthics and Morality in the context of AI. It delves into learning objectives covering ethics and morals, success criteria, what AI Ethics entails, the importance of fairness in AI, and responsibility for AI mistakes. Additionally, it examines the principles of AI ethics including Human Rights, Bias, Privacy, and Inclusion.
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**waEthics and Morality** **Learning Objectives:** To Understand the concept of Ethics and Morals. To explore various Ethics with Personal Data, Issues around AI Ethics, AI Ethics Principles. **Success Criteria** - Familiarizing with AI ethics and issues around AI ethics. - Ethical princ...
**waEthics and Morality** **Learning Objectives:** To Understand the concept of Ethics and Morals. To explore various Ethics with Personal Data, Issues around AI Ethics, AI Ethics Principles. **Success Criteria** - Familiarizing with AI ethics and issues around AI ethics. - Ethical principles for safer AI **1. What is AI Ethics?** AI Ethics is the study and application of moral principles to the design, development, and deployment of artificial intelligence systems. It focuses on ensuring AI benefits humanity while avoiding harm. **2Why is fairness important in AI systems?** Fairness ensures AI systems do not discriminate or perpetuate biases based on race, gender, age, or other attributes. Bias in AI can lead to unjust outcomes, such as unequal access to opportunities or resources. **3. Who is responsible for AI mistakes or harm?** Responsibility depends on context but may involve: - Developers and engineers who designed the AI. - Companies deploying the AI. - Policymakers and regulators overseeing AI use. Clear frameworks are needed for accountability. **4. What are the principles of AI Ethics?** ▪Human Rights ▪Bias ▪Privacy ▪Inclusion
