Dive into the essential aspects of AI compliance, discover why it matters, and explore the groundbreaking legislation defining the future of AI governance. Join Veriff's AI compliance webinar on February 12th to learn more!
Artificial intelligence (AI) is transforming the payments and financial services industry, offering innovative solutions to longstanding challenges. According to a 2024 survey of senior payment professionals, AI’s most prominent use cases include fraud detection and prevention (85%), transaction monitoring and compliance management (55%), and personalized customer experiences (54%). Fraud detection, in particular, has emerged as a critical application, with generative AI playing a major role in combating payment card fraud—a problem projected to grow by over $10 billion between 2022 and 2028.
As AI adoption accelerates across financial services, so does the need for robust compliance measures. Ensuring that AI systems align with regulations and ethical standards minimizes risks, maintains customer trust, and navigates a rapidly evolving regulatory landscape. Whether you are a manager, developer, or AI enthusiast, understanding the challenges and solutions in this area can save your company significant legal costs and protect its reputation.
This article unpacks the core elements of AI compliance, explores its importance, and reviews key legislation shaping the future of AI governance.
AI compliance is a critical aspect of ensuring organizations remain compliant with regulatory requirements and laws governing the use of artificial intelligence (AI) systems. As AI becomes increasingly prevalent in various industries, effective AI compliance has become a strategic imperative. AI compliance involves ensuring that AI systems are designed, developed, and deployed in a manner that adheres to applicable laws, regulations, and industry standards. This includes ensuring that AI systems are transparent, explainable, and fair, and that they do not pose a risk to individuals or society.
AI compliance is critical for several reasons:
Several regulatory frameworks have been established to govern the use of AI systems, with also several guidelines and statements issued by industry regulators. These frameworks provide guidelines and standards for ensuring that AI systems are developed and deployed in a responsible and compliant manner. Some prominent AI regulatory frameworks include:
The above does not mean that AI compliance is something that derives only from specific AI laws. All prevalent issues around AI make deep intersections into existing areas of regulation, for example around personal data protection and privacy, copyrights, and protection against discrimination.
AI compliance is no longer optional. As regulatory frameworks tighten and public awareness grows, organizations must integrate legal and ethical considerations into their AI strategies to ensure compliance, build trust, and mitigate risks. Prioritizing compliance is critical for driving sustainable growth and maintaining a competitive edge.
As we look ahead to 2025, businesses must prepare for stricter AI compliance frameworks. Join our expert-led webinar to gain actionable insights on aligning your operations with global AI regulations, minimizing risks, and fostering innovation with confidence.
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