Question:
Directions (1-10): Read the following passage carefully and answer the questions given below it.
Artificial Intelligence (AI) and machine learning are rapidly transforming the financial sector. While traditional banking heavily relied on human interaction and manual processing, digitalization has ushered in an era where algorithms predict consumer behavior, assess credit risks, and even execute trades in milliseconds. The primary drivers for this shift are the vast amounts of data generated daily and the need for personalized customer experiences. Banks are deploying chatbots for customer service, reducing operational costs and providing 24/7 assistance. However, this rapid integration is not without challenges. Data privacy concerns and the potential for algorithmic bias pose significant risks. If an AI model is trained on historical data that reflects past prejudices, it may inadvertently deny loans to qualified candidates from marginalized communities. Furthermore, the opacity of deep learning models, often referred to as ‘black boxes’, makes it difficult for regulators to audit decision-making processes. As the financial landscape evolves, regulatory frameworks must adapt to ensure that innovation does not compromise stability or fairness.
Q6. Based on the passage, what is one of the primary drivers for the shift towards AI in banking?
(a) The decrease in global population
(b) The vast amounts of data generated daily
(c) The elimination of central banks
(d) A decline in customer demand
(e) None of the above
Directions (1-10): Read the following passage carefully and answer the questions given below it.
Artificial Intelligence (AI) and machine learning are rapidly transforming the financial sector. While traditional banking heavily relied on human interaction and manual processing, digitalization has ushered in an era where algorithms predict consumer behavior, assess credit risks, and even execute trades in milliseconds. The primary drivers for this shift are the vast amounts of data generated daily and the need for personalized customer experiences. Banks are deploying chatbots for customer service, reducing operational costs and providing 24/7 assistance. However, this rapid integration is not without challenges. Data privacy concerns and the potential for algorithmic bias pose significant risks. If an AI model is trained on historical data that reflects past prejudices, it may inadvertently deny loans to qualified candidates from marginalized communities. Furthermore, the opacity of deep learning models, often referred to as ‘black boxes’, makes it difficult for regulators to audit decision-making processes. As the financial landscape evolves, regulatory frameworks must adapt to ensure that innovation does not compromise stability or fairness.
Q6. गद्यांश के आधार पर, बैंकिंग में AI की ओर बदलाव के प्राथमिक कारणों में से एक क्या है?
(a) वैश्विक जनसंख्या में कमी
(b) प्रतिदिन उत्पन्न होने वाला विशाल डेटा
(c) केंद्रीय बैंकों का उन्मूलन
(d) ग्राहकों की मांग में गिरावट
(e) उपरोक्त में से कोई नहीं
Correct Answer: (b)
Explanation:
Detailed Explanation: According to the passage, the primary drivers for this shift are the vast amounts of data generated daily and the need for personalized customer experiences.
विस्तृत व्याख्या: गद्यांश के अनुसार, इस बदलाव के प्राथमिक कारण प्रतिदिन उत्पन्न होने वाला विशाल डेटा और व्यक्तिगत ग्राहक अनुभवों की आवश्यकता है।