China has implemented new AI labeling rules that require clear identification of AI-generated content across various media when distributed on Chinese platforms. Companies must adapt their content strategies to comply with these regulations to avoid severe penalties and reputational damage.
Sam Peters, Chief Product Officer at ISMS.online, discusses the importance of building secure and ethical AI models in a rapidly evolving threat landscape, emphasizing that compliance must be the foundational element of AI initiatives. He outlines the risks associated with AI and stresses that organizations must adopt internationally recognized frameworks like ISO/IEC 42001 and ISO/IEC 27001 to effectively manage these risks and protect their AI systems.
Artificial intelligence is increasingly influencing recruitment practices, offering a data-driven approach that can streamline hiring processes and reduce human bias. However, the use of AI also raises challenges such as algorithmic bias and the need for regulatory compliance, particularly under the EU AI Act and GDPR.
The EU AI Act pioneers global super AI regulation through its risk-based framework, categorizing AI systems by their potential harm and implementing tailored controls to protect society. By focusing on transparency and stringent oversight, the Act aims to mitigate existential threats posed by advanced AI technologies.