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The drone, programmed to minimise human harm, attempts to land on the deserted road but crashes into a
parked car, causing significant damage. The car owner, upset by the incident, demands accountability from
the drone company.
In the case of the drone’s malfunction, who should be held accountable for the damage, and what ethical
considerations should guide the development of autonomous systems to handle such scenarios?
Assertion and Reasoning Questions:
Direction: Questions 2-3, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions
by selecting the appropriate option given below:
a. Both A and R are true and R is the correct explanation of A.

b. Both A and R are true but R is not the correct explanation of A.
c. A is true but R is false.
d. A is false but R is true.
2. Assertion(A): Bias in AI systems can lead to unfair outcomes and perpetuate social inequalities.

Reasoning(R): AI systems make decisions based on the data they are trained on, and if this data reflects societal
biases or prejudices, the AI may replicate and amplify these biases in its decision-making process. This can result
in unfair treatment of certain groups, exacerbating existing inequalities in areas such as healthcare, finance, and
criminal justice.
3. Assertion (A): AI can improve accessibility and inclusion for people with disabilities.
Reasoning (R): AI-powered voice assistants can help visually impaired individuals operate devices like
smartphones without assistance.

21 st
Century #Experiential Learning
Emotion Detector For Angry Players (Spain) Skills

Have you noticed that while playing video games, your emotions run free? You most probably have become angry
and aggressive. A group of Spanish middle school boys who call themselves ‘Happy Llamas’ realised that even
after the game is over, the negative emotions they experience while playing video games continue to hurt their
emotional state. Therefore, they developed ‘Emotion Detector for Angry Players’, a mobile application that uses
image gesture recognition to indicate when players experience healthy (calm) or unhealthy (angry) emotions.
When the app detects any emotion, it notifies the player by displaying the shades between green (calm) and red
(anger). This indicator helps the players regulate their emotions while playing. Find out 2 more such examples.

Ethical Practices in AI 287