Page 62 - Ai V2.0 Flipbook C8
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Ethical Issues with AI
                  Let us now understand different ethical issues using AI.



                  Bias and Discrimination
                  AI  systems  can  inherit  biases  present  in  their  training  data,  leading  to  unfair  outcomes.  For
                  example, facial recognition software has been found to have higher error rates for people with
                  darker skin tones. It is crucial to ensure AI systems are trained on diverse and representative data
                  to avoid discrimination.


                  Privacy violations
                  AI systems often require large amounts of personal data. Without proper safeguards, this data
                  can be misused, leading to privacy breaches. It is important to implement strong data protection
                  measures and ensure transparency in data usage.



                  Lack of transparency
                  Many AI systems operate as “black boxes”, meaning their decision-making processes are not
                  easily  understood.  This  lack  of  transparency  can  lead  to  mistrust  and  accountability  issues.
                  Developing explainable AI is essential for building trust.


                  Job displacement
                  Automation  through  AI  can  lead  to  job  losses  in  certain  sectors.  While  AI  can  create  new
                  opportunities, it is important to consider the social impact and provide support for affected
                  workers.



                  Security risks
                  AI systems can be vulnerable to attacks, such as data poisoning or adversarial inputs, which can
                  manipulate their behaviour. Ensuring robust security measures is vital to protect AI systems from
                  malicious activities.


                  Autonomous weapons
                  The development of AI-powered weapons raises ethical concerns about accountability and the
                  potential for misuse in warfare. It is important to establish international regulations to govern
                  the use of such technologies.


                  Accountability
                  Determining  who  is  responsible  when  an  AI  system  causes  harm  is  a  complex  issue.  Clear

                  accountability structures are necessary to ensure that individuals or organisations can be held
                  liable for the actions of AI systems.








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