8.2. What are the ethical challenges in AI, and how can we use it responsibly?
AI has many ethical challenges as it becomes part of our daily lives. Here are some
of the main issues:
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1. Bias Situation: In 2018, Amazon had a problem with its AI hiring tool. They hoped it would help find good workers. But the tool learned from job applications sent over the past 10 years when mostly men got certain jobs. This made the tool think men were always better for the job. So, it picked men over women, even if the women were just as good. Based on this situation, try to find the correct answer to the following questions: Q1: What is the ethical concern with this AI hiring tool?
Q2: What is a possible solution to make AI fairer?
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2. Privacy Situation: In 2018, Facebook had a big problem with AI in the Cambridge Analytica scandal. Cambridge Analytica, a company that helps political campaigns, used AI to take data from around 87 million users without their permission. This data was used for political ads, upsetting many people and leading to government inquiries. Based on this situation, try to find the correct answer to the following questions: Q1: What is the main ethical concern with Facebook’s actions?
Q 2: What can be done to address the privacy concerns?
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2. Safety and Security Situation 1: Recently, there have been more AI-powered cyberattacks. AI is used to send fake emails or messages that look real, tricking people into giving away important information like passwords or financial details. This has caused problems where regular people, as well as banks and big companies, lost data and money. Based on this situation, try to find the correct answer to the following questions: Q1: What is an ethical concern with AI sending fake emails or messages?
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Q2: What should be done to address the ethical concerns of AI in online safety?
Make international rules to control AI use in online safety.
Q1: What is the ethical concern with AI spreading fake news on social media?
Q2: What should social media companies do to address the ethical concerns of AI?
By training AI to spread more news. |



Situation 2: On social media, AI is blamed for spreading fake news and causing arguments. For example, in 2016, Facebook’s AI tools were blamed for promoting fake news. The AI learned what people liked and showed them posts they might enjoy, even if they were not true. This worries people about what they see online and how AI should be used carefully to stop fake news. It’s a big issue for society, and tech companies need to find ways to solve these problems.