Page 69 - Ai V2.0 Flipbook C8
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6. As AI gets smarter, how can people keep important jobs? What special things about humans
should we keep working on?
7. How can we keep people’s personal information safe when AI collects and looks at lots of
data?
8. What can be done when building AI to stop it from being unfair or biased? Why is it
important to have different kinds of people help make AI?
Task
21 st Century #Communication
Skills
Set up a mock parliament session where the class will be divided into two groups representing
ruling party and opposition. The Ministry of Science and Technology will lead the session
analysing the ethical issues of implementation of AI in our country. The two sides will debate
for and against and the voting will take place at the end.
At a Glance
• Ethics are the moral behaviour of humans in given circumstances in their social life.
• Artificial Intelligence (AI) ethics can be defined as a set of values, principles, and techniques
that guide moral conduct regarding right and wrong in the development and deployment of AI
technologies.
• Different ethical issues using AI are bias and discrimination, privacy violations, lack of transparency,
job displacement, security risks, autonomous weapons, accountability, unequal access, and
ethical decision-making in AI systems.
• AI bias means the AI might make wrong or unfair decisions, even if it wasn’t meant to.
• Some common types of AI bias are Data bias, Algorithm bias, Selection bias, Confirmation bias,
Measurement bias, Exclusion bias, Group Attribution bias, Historical bias, and Societal bias.
• To make AI systems more accurate, fair, and trustworthy, it is essential to recognise and address
the factors that cause these biases.
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