Credit Assessment and Risk Management
Credit assessment and risk management are crucial aspects of the financial industry. In this subheading, students explore how AI and ML can assist in credit scoring, loan approval, and risk assessment. They learn about predictive modeling techniques, credit risk models, and creditworthiness evaluation. Students understand how AI can analyze large datasets, including customer financial data, market trends, and economic indicators, to assess creditworthiness and predict default probabilities.
AI Ethics and Responsible AI
As AI becomes more prevalent in society, it is crucial to address the ethical implications and ensure responsible AI development and deployment. In this session, students examine the ethical considerations, biases, fairness, and potential societal impacts of AI. They discuss strategies for creating responsible and unbiased AI systems that prioritize transparency, accountability, and inclusivity.
Ethical Considerations in AI
In this subheading, students explore the ethical challenges that arise in AI development and deployment. They discuss issues such as privacy, data security, algorithmic bias, and the potential impact of AI on employment. Students learn about ethical frameworks and guidelines that can help guide AI practitioners and policymakers in making responsible decisions. They also examine case studies and real-world examples that highlight the ethical dilemmas faced in the AI industry.
