Artificial Intelligence (AI) is becoming a part of our daily lives, from mobile phones and social media to healthcare and education. While AI makes life easier, it also raises important questions about what is right and wrong. AI Ethics deals with the moral principles and values that guide the development and use of AI systems. It helps us ensure that AI is fair, safe, transparent, and beneficial for everyone.
AI Ethics Class 8 Notes
Ethics is about rules of right and wrong that guide how people live and work together. Ethics is a moral compass that guides human behaviour. It helps to make fair choices, respect others and build trust in society.
Ethics attempts to answer questions like:
- What is the difference between virtue and evil?
- Are good and evil the same for everyone?
- How do we make decisions that might have an impact on others?
- Are we responsible for how our AI solutions may be used by different people?
What is AI Ethics?
AI ethics is a set of moral rules that guide how artificial intelligence (AI) should be created and used responsibly. It acts as a guide on how your data will be collected and managed, along with the ethical issues arising out of its usage. AI is important because:
- It tells us how data should be collected and managed safely.
- It helps us think about the problems AI might cause, like unfairness or misuse.
Ethics helps the machine to understand what decision it has to take. Suppose one self-driving car has to decide between hitting a person or taking the risk of the life of a passenger; what decision will the machine have to take? Here the machine will respond based on AI ethics.
AI Ethics: Why Does It Matter?
It is important to understand the ethical concerns it brings to ensure it benefits everyone fairly and responsibly. Some of the ethical concerns are
- AI Bias: AI systems can sometimes treat people unfairly if they are trained on biased data, like preferring one group over another.
- Privacy Issues: AI might collect and use personal data without proper permission, which can invade someone’s privacy.
- Job Replacement: AI can do some jobs faster than humans, which might lead to fewer job opportunities for people.
- Misinformation: AI can create fake news or images that look real, making it hard to know what’s true or false.
What is AI bias?
AI bias happens when an AI system gives unfair results because it has learnt from biased data. The examples of bias in AI are:
- Virtual Assistants with Female Voices: Most of the assistants, like Siri and Alexa, use female voices. The reason behind this is that women are helpful or service-orientated. This is a female voice bias. Now companies are adding male voices to reduce this type of bias.
- Google Salon Searches: When you search for a salon, then Google shows female salons first because most people are searching for women’s salons. This is a bias which is known as negative bias because it ignores men who also use salons.
Various other biases are also found in various systems which are not thought up by the machine but have been transferred from the developer intentionally or unintentionally. To make AI better, we need to identify the factors responsible for it. So, integrating ethics into AI will ensure-
- Human-centric: Designs systems to serve human interests and needs.
- Unbiased: Promotes fairness and equity.
- Data Protective: Prioritizes data privacy and security.
- Sustainable AI Solutions: Encourages environmentally and socially sustainable AI systems.
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