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You are facing towards North. Follow these steps:
Move 4 steps forward.
Turn 90° right, move 3 steps forward.
Turn 180° left, move 5 steps forward.
Turn 90° left, move 2 steps forward.
What direction are you facing after following these instructions?
a) North b) South
c) East d) West
FAIRNESS IN AI
Fairness in AI means ensuring that decisions made by AI systems are impartial and just, treating
everyone equally regardless of their background or personal characteristics. It involves creating
systems that give equal opportunities and do not discriminate based on irrelevant factors. Here is
how fairness can be achieved:
Fairness takes effort: AI doesn’t automatically treat everyone fairly. It takes careful planning
to create AI that treats everyone equally, no matter their background. For example, If a school
uses AI to select students for a project, the AI should give everyone an equal chance, regardless
of gender or background. This ensures fairness.
Use diverse and balanced data: AI systems need to be trained with data from a wide range
of people and situations. If the data is incomplete or biased, the AI will likely make unfair
decisions. For example, If AI is trained only with data from one school, it might not work well
for students from other schools. Including diverse data makes sure the AI works fairly for
everyone.
Regular checks for bias: AI systems must be checked often to ensure they aren’t developing
bias. If unfair trends are found, they should be fixed quickly. For example, If a school uses AI
to grade assignments, it must be checked regularly to make sure it doesn’t favour certain
students. If it does, the system must be updated to ensure fairness.
Avoid using sensitive characteristics unfairly: AI should not use sensitive factors like gender,
race or background to make decisions. These should never be used to treat people unfairly.
For example, In a recruitment system, AI should not use gender or race to decide who gets a
job. Everyone should be treated equally.
Continuous monitoring: Even after an AI system is set up, it’s important to keep checking
it regularly to make sure it stays fair. For example, If a school uses AI to decide who gets to
play in the school band, the system should be monitored to ensure it doesn’t favour certain
students based on irrelevant factors.
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