Daily Current Affairs MCQs: 17th August 2025 - Bank Exams MCQ

The first guiding sutra, "Trust is the Foundation," emphasizes the necessity of reliability and transparency in AI systems within the financial sector. Trust is crucial for ensuring public confidence and is considered non-negotiable. A strong foundation of trust allows AI systems to operate effectively and ethically, which is essential in finance where stakeholders must rely on technology for critical decisions.

Financial inclusion is actually a key benefit of AI in the financial sector. AI helps assess creditworthiness using alternative data, thus facilitating loans to previously excluded borrowers. In contrast, options A, B, and D all highlight positive impacts of AI, such as improved decision-making and revenue enhancement.

"Model Bias and Risk" is a critical challenge noted in the framework. AI models can inherit biases based on the data they are trained on, potentially leading to unfair and discriminatory outcomes. Moreover, the "black box" nature of these models can complicate understanding and auditing, making it difficult to ensure accountability and fairness in financial decisions.

The AI Innovation Sandbox is designed as a secure testing environment where financial institutions can trial AI models using anonymized data. This setup allows for the detection of biases or errors while ensuring compliance with regulations such as AML (Anti-Money Laundering) and KYC (Know Your Customer). This initiative encourages innovation while maintaining necessary precautions.

"Capacity Building within REs" emphasizes the development of structured training programs for AI governance and risk mitigation at all levels within financial institutions. This recommendation is crucial for ensuring that organizations are equipped to manage AI technologies responsibly and effectively, thereby enhancing their operational competencies.

The RBI forecasts that investments in financial services driven by AI technology will reach Rs 8 lakh crore by 2027. This projection highlights the tremendous potential for growth and innovation in the sector, indicating that AI will play a crucial role in transforming financial services and driving economic development.

"Cybersecurity Threats" are a notable risk associated with AI technologies. While AI can enhance security measures, it also introduces new vulnerabilities, such as data poisoning and adversarial attacks. These threats require rigorous security protocols and ongoing vigilance to protect sensitive financial information and maintain trust in AI systems.

The RBI advocates for regular AI red teaming and incident reporting frameworks to ensure effective management of AI-related risks. This approach allows for proactive identification of potential issues, thereby enhancing consumer protection and maintaining trust in AI systems used within the financial sector.

The IndiaAI Mission is aimed at fostering AI innovation, enhancing research capabilities, and improving access to necessary computational infrastructure. By supporting these aspects, the mission seeks to position India as a leader in AI development, including its applications in finance, thereby driving growth and innovation in the sector.

"Understandable by Design" stresses the need for AI systems to be interpretable by users and regulators. This principle is vital for ensuring transparency and accountability in AI decision-making processes, allowing all stakeholders to comprehend how decisions are made and fostering trust in AI technologies used in finance.