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              Activity: Role Play                                                                      [CBSE Handbook]

              1.   Share the following examples of biased AI systems and their potential consequences and ask students to do a role play
                   to present each scenario:

                   Social Media Algorithms:
                      ●   Example:  Algorithms  on  social  media  platforms  often  prioritise  content  based  on  user  engagement  metrics,
                         leading to echo chambers and reinforcing existing biases and opinions.
                      ●   Consequences: Biased social media algorithms can contribute to polarisation and the spread of misinformation,
                         undermining democratic discourse and social cohesion.

                   Loan Approval Systems:
                      ●   Example: Automated loan approval systems used by banks may use biased criteria that favour certain demographic
                         groups over others, leading to disparities in access to credit.
                      ●   Consequences:  Biased  loan  approval  algorithms  can  perpetuate  financial  exclusion  and  deepen  economic
                         inequality, particularly for marginalised communities who may already face barriers to financial resources.

                   Criminal Sentencing Algorithms:
                      ●   Example: Some jurisdictions use algorithms to assist judges in determining sentencing decisions based on factors
                         such as criminal history and offense severity. However, these algorithms have been found to exhibit racial biases.
                      ●   Consequences: Biased sentencing algorithms may result in harsher punishments for individuals from minority
                         groups, contributing to mass incarceration and perpetuating systemic injustice within the criminal justice system.
                   School Admissions Algorithms:

                      ●   Example: Educational institutions may use algorithms to assist in the admissions process, considering factors like
                         academic performance and extracurricular activities. However, these algorithms may unintentionally disadvantage
                         students from underprivileged backgrounds.

                      ●  Consequences: Biased admissions algorithms can limit educational opportunities for disadvantaged students,

                        widening the achievement gap and hindering social mobility.




























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