Experts in the life sciences industry are expressing concerns about the challenges posed by the EU AI Act as the sector adapts to new regulations. While the Act aims to protect citizens, it may complicate the integration of AI technologies into drug development processes.
A recent report reveals that North American firms are lagging behind their EMEA counterparts in AI adoption for compliance, with 56.3% hesitant to embrace the technology. In contrast, over 70% of EMEA firms plan to integrate AI into their compliance processes within the coming year.
Nevada’s unemployment agency has implemented an artificial intelligence tool to prescreen claims, significantly accelerating the approval process by 30 times. The tool boasts a 99.99% accuracy rate, while still involving human analysts to make final decisions on each claim.
U.S. businesses have significantly increased their budgets for data privacy and compliance, with a reported rise of 71% over the past year, according to a Blancco report. This surge in spending is largely attributed to new regulations and the growing demands for improved cybersecurity measures in response to AI adoption.
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.
The podcast discusses the compliance risks associated with data during artificial intelligence (AI) processing, emphasizing the challenges of managing proliferating datasets. Mathieu Gorge, CEO of Vigitrust, highlights the importance of understanding data flow and maintaining compliance as organizations increasingly adopt AI technologies.
As AI reshapes Singapore and the world, organizations must address the array of risk management challenges that this transformative technology brings. A standardized approach incorporating global consensus is essential for guiding organizations in balancing innovation with effective risk management.
ISACA has launched the Advanced in AI Audit (AAIA) certification, aimed at equipping experienced auditors to navigate the complexities introduced by AI in the audit landscape. This certification focuses on key areas such as AI governance, risk management, and auditing tools, building on ISACA’s established standards in IT audit.
The rapid growth of artificial intelligence (AI), particularly generative AI, presents both opportunities and significant risks for businesses regarding compliance with legal and regulatory environments. Organizations must carefully assess their use of AI to identify vulnerabilities and ensure adherence to evolving regulatory frameworks.
Utah has enacted five new AI bills that modify existing regulations concerning artificial intelligence, particularly focusing on disclosure requirements and protections for mental health chatbots. The new legislation includes stricter rules for user interactions with generative AI and expands personal identity protections against misuse of AI-generated content.