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.
Q3. What does the term “black boxes” refer to in the context of the passage?
(a) Physical vaults in banks
(b) Opaque deep learning models
(c) Unregulated financial markets
(d) Customer service chatbots
(e) Obsolete computer systems
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.
Q3. गद्यांश के संदर्भ में “ब्लैक बॉक्स” शब्द का क्या अर्थ है?
(a) बैंकों में भौतिक तिजोरियां
(b) अपारदर्शी डीप लर्निंग मॉडल
(c) अनियमित वित्तीय बाजार
(d) ग्राहक सेवा चैटबॉट्स
(e) अप्रचलित कंप्यूटर सिस्टम
Correct Answer: (b)
Explanation:
Detailed Explanation: The passage refers to the opacity of deep learning models as “black boxes”, making them difficult to audit.
विस्तृत व्याख्या: गद्यांश में डीप लर्निंग मॉडल की अपारदर्शिता को “ब्लैक बॉक्स” कहा गया है, जिससे उनका ऑडिट करना मुश्किल हो जाता है।