Ethics in AI

Learning Objectives Define Artificial Intelligence (AI) and AI ethics. Identify at least three ethical concerns in AI, such as bias, privacy, and accountability. Explain how biased training data can lead to unfair AI outcomes. Analyze a simple, real-world AI scenario to identify potential ethical issues. Differentiate between the intended and unintended consequences of an AI system. Propose a simple ethical guideline for a hypothetical AI application. If a self-driving car has to make a split-second choice, who should it protect? 🤔 This is where computer science meets tough real-world questions. In this lesson, you'll learn about AI ethics, which is all about making sure the smart technology we build is fair, safe, and responsible. As future creators, it's crucia...

TermDefinitionExample Artificial Intelligence (AI)A field of computer science where machines are programmed to perform tasks that normally require human intelligence, like learning, problem-solving, and decision-making.A smart assistant on your phone like Siri or Google Assistant that understands your voice commands. AI EthicsA set of moral principles and guidelines that help us design and use AI technology in a way that is fair, safe, and beneficial to humanity.Creating rules to ensure a company's hiring AI doesn't unfairly discriminate against applicants based on their gender or race. Bias (in AI)When an AI system produces results that are systematically unfair or prejudiced against certain individuals or groups.An AI trained to recognize faces from a dataset of mostly light-s...

The 'Garbage In, Garbage Out' (GIGO) Principle An AI's output quality is directly determined by its input (training data) quality. This is a fundamental concept in all of computer science. For AI ethics, it means that if you train an AI with biased, incomplete, or unfair data, the AI itself will become biased and unfair. The Fairness Principle AI systems should be designed and evaluated to ensure they treat all individuals and groups equitably. When building or analyzing an AI, always ask: 'Does this system create unfair advantages or disadvantages for any group of people?' The goal is to minimize bias and promote justice. The Accountability Principle There must be a clear line of human responsibility for an AI's actions and outcomes. An...