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.
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.
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.
California has recently implemented regulations concerning the use of automated-decision systems in employment, aimed at preventing discrimination and ensuring transparency. Employers must now prepare to comply with these regulations by conducting risk assessments and providing proper notices to employees and applicants.
ModelOps capabilities enable responsible AI governance, regulatory compliance, and scalable model deployment. It serves as the essential framework for organizations to bridge the gap between AI development and operational value, ensuring that AI technologies operate responsibly.
States are increasingly regulating the use of artificial intelligence (AI) in political advertising, imposing new obligations on campaigns and vendors, particularly around disclaimers for synthetic content and distribution limits near elections. Noncompliance can lead to serious consequences, including legal liability and reputational damage, necessitating proactive risk management by political advertisers and platforms.
Italy has become the first EU member state to adopt a comprehensive law, Law No. 132, to regulate artificial intelligence, aligning with the EU AI Act. This new framework focuses on governance, ethical use, and the responsibilities of various sectors, including healthcare, labor, and justice, while emphasizing the importance of human oversight in AI applications.
California has enacted SB 53, the Frontier AI Transparency Act, requiring large AI developers to disclose their integration of national and international standards on their websites. This new law aims to enhance AI safety and accountability while ensuring public transparency through a mechanism for addressing inquiries.
Agentic AI is revolutionizing cybersecurity by autonomously analyzing threats and automating responses, significantly enhancing efficiency in the face of rising cyber threats. However, the autonomy of these systems introduces new vulnerabilities, necessitating robust governance to balance their benefits and risks.
