Dr. Rejoice Malisa-van der Walt emphasizes the importance of developing South Africa’s artificial intelligence (AI) policy by integrating elements from international frameworks while addressing the country’s unique needs. The goal is to create regulations that foster innovation and ensure AI serves all citizens, considering past challenges and current goals.
In February 2025, the European Commission published guidelines clarifying key aspects of the EU Artificial Intelligence Act, particularly focusing on prohibited AI practices. These guidelines provide detailed interpretations of eight prohibited practices, offering guidance on compliance and the relationship between high-risk AI systems and these prohibitions.
In February 2025, the European Commission published guidelines clarifying key aspects of the EU Artificial Intelligence Act, focusing on prohibited AI practices. The guidelines provide detailed interpretations of eight specific practices that are banned under the Act, such as the use of AI for manipulative advertising and predictive policing.
In February 2025, the European Commission published guidelines to clarify aspects of the EU Artificial Intelligence Act, including the definition of an “AI system.” These guidelines aim to provide clarity on obligations related to AI systems, including their characteristics and the types of practices that are prohibited.
A recent study highlights a significant gap between the rapid adoption of AI technologies by organizations and their preparedness to manage associated security risks. Only 6% of organizations have an advanced AI security strategy, indicating widespread vulnerability to AI-driven threats.
Experts at Infosecurity Europe warn that agentic AI, which operates with a high degree of autonomy, poses increasing security risks as organizations chain together AI components without adequate oversight. The rapid development of these systems is outpacing security controls, raising concerns about the potential for compounded errors and vulnerabilities.
As AI continues to emerge in business, leaders must balance regulation with innovation to avoid hindering technological advancement. The focus should shift from fear-based frameworks to proactive experimentation, enabling organizations to manage risk while fostering growth.
In an era dominated by AI, the importance of context and intention in creativity is often overshadowed by compliance with automated systems. While AI detectors aim to maintain integrity, they frequently fail to appreciate the nuances of human expression, raising ethical concerns about their reliance in evaluating originality.
The article discusses the crucial role of Chief Information Security Officers (CISOs) in managing the security and risks associated with the deployment of artificial intelligence (AI) and generative AI systems. It emphasizes the need for updated policies, robust security practices, and a comprehensive governance framework to prevent data leaks and ensure the integrity of AI-driven decisions.
India’s Artificial Intelligence market is rapidly expanding and is expected to reach $17 billion by 2027, but organizations face significant challenges in compliance and cybersecurity. Research indicates that Indian firms prioritize these concerns more than their global counterparts, highlighting the need for automation and strong data management to navigate these hurdles.
