AI and Fintech

AI is reshaping the fintech landscape by optimizing operations, enhancing decision-making, and creating more accessible financial services. However, addressing regulatory, ethical, and security challenges is crucial to fully realizing AI’s potential in the industry. The talk on AI and Fintech explores how artificial intelligence is transforming the financial technology sector, driving innovation, efficiency, and new business models.

The key themes covered include:

1. Role of AI in Fintech
AI is revolutionizing fintech by enhancing automation, decision-making, and customer experience.
Key applications include fraud detection, risk assessment, robo-advisory services, and algorithmic trading.

2. Challenges and Ethical Considerations
Bias in AI Models: AI systems may inherit biases from historical financial data, leading to unfair lending or investment decisions.
Regulatory and Compliance Issues: As AI adoption grows, financial institutions must comply with evolving regulations to ensure transparency and fairness.
Cybersecurity Risks: AI can both strengthen and pose risks to financial security, requiring robust risk management frameworks.

3. The Future of AI in Fintech
The evolution of explainable AI (XAI) will enhance trust in AI-driven financial decisions.
Increased adoption of blockchain and AI integration will improve transparency and security in financial transactions.
AI-driven decentralized finance (DeFi) platforms will challenge traditional banking models.

Lecturer: Bruce Gahir
Location: City Centre Campus, room 103