AI has rapidly evolved into a core business capability, enhancing efficiency and innovation, particularly in fintech, where companies use AI to approve loans for unbanked individuals. However, this growth necessitates robust governance frameworks to manage AI risks and ensure responsible usage.
AI is reshaping how Irish businesses operate, but its rapid adoption brings complexity and risk, making robust governance essential. Internal audit teams have a unique opportunity to lead on Responsible AI, ensuring organizations navigate new regulatory requirements while fostering innovation.
Korea’s Fair Trade Commission is set to launch an AI-powered platform aimed at preventing unfair subcontracting practices, significantly benefiting startups and SMEs. This initiative, backed by a budget of KRW 1.8 billion, is expected to enhance contract fairness, reduce legal risks, and promote transparency in the innovation supply chain.
This Medium article is a tutorial on deploying a FastAPI application to Google Cloud Run that invokes Gemini models through Vertex AI while implementing responsible AI principles. It emphasizes the configuration of safety filters and practical safety implementations to screen both inputs and outputs for harmful content.
As AI technology rapidly evolves, CFOs must proactively govern emerging solutions, starting with low-risk applications to build confidence within their teams. Ensuring data quality and maintaining human oversight are essential for establishing trust and compliance as AI becomes integral to finance functions.
The rise of large language models (LLMs) has revolutionized technology interactions, but their deployment comes with significant responsibilities. This guide explores LLM safety, emphasizing the importance of implementing guardrails and addressing risks to ensure ethical and reliable AI systems.
On October 10, 2025, Italy will become the first EU member state to implement a national artificial intelligence law, ahead of the EU’s AI Act. Law No. 132/2025 emphasizes a human-centric approach to AI, with provisions for transparency, privacy, and safety, while introducing penalties for harmful AI use.
Agentic AI is revolutionizing AML investigations by significantly reducing the burden of false alerts and streamlining the investigative process for analysts. This innovative approach not only enhances efficiency but also ensures compliance and improves the quality of financial crime investigations.
The European Union AI Act is the first comprehensive regulation of artificial intelligence worldwide, introducing a tiered framework to classify and govern AI systems based on their risk levels. Understanding compliance with the Act is essential for those building or managing AI systems, as it sets forth enforceable guidelines to ensure safety and accountability.
This guide provides a practical approach to integrating the NIST AI Risk Management Framework and ISO 42001 into a cohesive AI governance strategy, highlighting how to effectively manage risk and ensure compliance. By combining the flexible guidance of NIST with the structured requirements of ISO, organizations can create a robust governance program tailored to their specific needs.