Page 63 - Ai V2.0 Flipbook C8
P. 63

Manipulation and control
                 AI can be used to manipulate people's behaviour, such as through targeted advertising or social
                 media algorithms. Ethical guidelines are needed to prevent exploitation and ensure AI is used for
                 positive purposes.



                 Unequal access
                 Access to AI technologies is not equally distributed, leading to disparities in benefits. It's important
                 to promote equitable access to ensure that all communities can benefit from AI advancements.


                 Ethical decision-making in AI systems
                 AI systems are increasingly making decisions that affect people's lives. It is crucial to design these
                 systems to align with ethical principles, ensuring they make fair and just decisions.


                                                                                              21 st  Century   #Media Literacy
                                                                                                  Skills
                           Video Session

                     Watch the video of “Ethics of AI: Challenges and Governance” at the
                     given link:

                     https://youtu.be/VqFqWIqOB1g?si=WNFTIqSTjeKanaaT OR scan the QR
                     code and answer the following question:
                       Can  you  point  out  other  ethical  issues  related  to  AI  which  are  not
                     discussed in the chapter?







                         AI Bias


                 AI, or Artificial Intelligence, is becoming a big part of our lives. It helps choose what we see
                 online, recommends products, checks for diseases, and even helps companies decide who to
                 hire. But sometimes, AI can be unfair. This happens when the information it learns from isn’t
                 complete or when the way it’s built favours one group of people over another. This is called AI
                 bias. It means the AI might make wrong or unfair decisions, even if it wasn’t meant to. That’s why
                 it’s important to understand where these biases come from and how to fix them, so AI works
                 better for everyone.


                 Types of AI Bias
                 Various  types  of  biases  can  be  found  in  AI  systems—many  of  which  are  not  created  by  the
                 machine itself but are unintentionally or even unknowingly introduced by the developers who
                 design and train them. These biases often come from the data used, the way the algorithms
                 are  built,  or  the  personal  assumptions  and  societal  influences  of  the  people  involved  in  the
                 development process.





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