Tag:generative AI
Generative AI- The Next Frontier in Fighting Financial Crime
Artificial intelligence (AI) is the latest tool in a financial institution’s arsenal to restrict the flow of money being channeled to fund illegal activities worldwide. As criminals get more innovative and sophisticated in using the latest technology to evade detection of their financial crimes, financial institutions must follow suit and utilize similar technology to root out these crimes or risk facing regulatory sanctions. Money laundering generally refers to financial transactions in which criminals, including terrorist organizations, attempt to disguise the proceeds of their illicit activities by making the funds appear to have come from a legitimate source. However, this is not a new phenomenon. Congress passed the Bank Secrecy Act (BSA) in 1970 to ensure financial institutions follow a set of guidelines known as KYC (Know Your Customer/Client) to detect and prevent money laundering through their systems.
From Chatbots to Diagnosis: The Power and Pitfalls of AI in Healthcare
The capabilities of generative artificial intelligence (AI) could completely transform our healthcare system as we know it. For better or for worse, the technology advancements in healthcare are rapidly growing. Given the accelerated rollout, experts have yet to predict all the risks associated with such high-functioning computations in the healthcare system. Even though the Food and Drug Administration (FDA) regulates software being used as medical devices (SaMD), there is an overall lack of urgency, agency oversight, and sufficient regulations to tame AI technology in the healthcare system.
Navigating the AI Frontier: Securing the Future of Financial Services
As artificial intelligence becomes more available, apprehension regarding its potential impact on security and data protection grows, especially within the financial services sector. AI technology undoubtedly provides some benefits to the financial sector by offering services that would otherwise be unwieldy, inefficient, time-consuming, and costly when undertaken by humans. The financial services sector is no stranger to security risks and with the increased prevalence of AI, the threat landscape grows larger, especially when considering the financial sector’s increasing dependence on web applications and APIs.