Artificial intelligence and compliance processes

Periodic Client Review, AML Transaction Monitoring, Name and Negative News Screening

• Introduction to the AI techniques which are relevant and useful for compliance work
• Become able to explain what the AI tools are doing
• Understand what internal experts and tool providers are talking about, be able to interact with them

Introduction to Artificial Intelligence Presentation of the AI techniques that are relevant for AML compliance work

What is AI, and why is there a need for it?

• The principles of artificial intelligence.
• Popular use cases and examples.
• Its importance in finance and compliance.

What are the prerequisites for using AI?

• Required data types, and available technologies.
• Identify patterns, similarities, regularities and recurrent structures.
• Limitations and scenarios where AI may fall short.

Graph data science and machine learning

• Estimating graphs from data.
• Supervised learning: classification and regression (prediction)
• Unsupervised learning: comparison with supervised learning; clustering techniques (client segmentation, anomalies detection)

Deep learning and Large Language Models

• Why and when neural networks?
• Application of deep learning to text: Large Language Models (LLMs) and Natural Language Processing (NLP).
• Application of deep learning to images: image recognition and classification.

Use Cases in Compliance and how AI can help

Periodic Client Review

• Introduction into Periodic Client Review
• Market view and current challenges in the Periodic Client Review process
• How can AI help to improve efficiency and effectiveness?
• Case studies

AML Transaction Monitoring

• Introduction into AML Transaction Monitoring
• Market view and current challenges in AML Transaction Monitoring
• How can AI help to improve efficiency and effectiveness?
• Case studies

Name and Negative News Screening

• Introduction into Name and Negative News Screening
• Market view and current challenges in the screening process
• How can AI help to improve efficiency and effectiveness?
• Case studies

AI regulation and governance

AI Risk Management

• EU AI Act and the impact on Switzerland
• Auditing AI systems
• Introduction
• Governance
• Trustworthy AI: Bias, Fairness, Explainability
• Regulatory aspects

Future of AI and the impact on Compliance

• Current and future technical developments
• Potential scenarios for the future with AI
• Potential challenges and impact on Compliance