The year 2022 marked a significant milestone in the history of artificial intelligence (AI), particularly for the general public. November of that year heralded a new era as OpenAI made its ChatGPT chatbot available to the wider public, sparking a wave of interest in AI. This was followed by a frenzy around image generation applications like Midjourney and DALL·E 2. Since then, hundreds or even thousands of new AI models have emerged almost every week.
However, AI had already quietly permeated our society long before this. It controls everything from our mobile phones to automobiles. The modern world practically cannot function without it. AI facilitates many operations, especially analytical or automated ones. Yet, with the rapid development of AI, there are growing concerns that it could become autonomous and spiral out of control.
For effective AI implementation, financial institutions, as well as other sectors, can focus on several key areas:
Data Integration
Selection of appropriate AI tools and continuous model training
Collaboration among financial institutions
It's clear that AI alone is not a miracle solution. However, the smart use of AI elements significantly enhances the ability of the financial industry and other sectors to combat financial crime. The demand for financial crime experts is rising, reflecting the need for human expertise to complement AI systems.
These experts play a crucial role in training AI models, fine-tuning algorithms, and interpreting results. The synergy of human expertise and AI-driven tools can create a robust defense against financial crime, where human intuition and analytical skills complement the speed and capabilities of AI systems.