Robotics & Artificial Intelligence
Assertion (A): Bias, prejudice, fairness, accountability, and transparency are key ethical issues in AI.
Reason (R): Ethics in AI deals only with technical issues related to the performance and functionality of AI systems.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Answer
(A) is true and (R) is false.
Reason — Bias, prejudice, fairness, accountability, transparency, interpretability, and explainability are important ethical issues in Artificial Intelligence. However, ethics in AI is not limited only to technical performance or functionality. It also deals with issues related to right and wrong, responsibility, fairness, and the impact of AI on society and individuals. Therefore, the assertion is correct, but the reason is incorrect.
Related Questions
Assertion (A): Links and joints in robots help create the mechanical framework that enables robots to perform various types of motions, including linear, circular, and angular motion.
Reason (R): Links are rigid or flexible elements that connect the joints and help perform tasks, while joints provide freedom of movement.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): The Turing test is used to evaluate whether a machine can exhibit human-like intelligence through conversation.
Reason (R): The Turing test involves an evaluator having a conversation with both a human and a machine, and if the evaluator cannot differentiate between the two, the machine is considered to have passed the test.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): Data refers to raw facts that are generated by almost all daily activities, including reading, writing, speaking, and seeing.
Reason (R): The raw data is transformed into meaningful information after processing, which helps in decision making.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): Data plays a crucial role in the development and operation of AI as it allows AI algorithms to learn and make predictions.
Reason (R): The performance and accuracy of AI models are not affected by the quantity, quality, or relevance of the data used.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.