Company: APXIF
Filing Date: 2025-06-13
Form Type: F-4/A
Source: 0001213900-25-054324
Chunk: 144

Company: APx Acquisition Corp. I
Filing Date: 2025-06-13
Form: F-4/A
Chunk 144
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. Such inaccuracies could lead to adverse health outcomes, customer dissatisfaction, or legal claims, affecting our reputation and operations. While we will implement rigorous validation processes, the dynamic nature of AI technologies means unforeseen issues could arise, leading to potential liabilities. 48 Our development and deployment of AI Agents would rely on third -partyinfrastructures, including LLMs and other AI technologies which are continuously evolving. While these technologies provide significant potential to increase the scalability and efficiency of personalized healthcare, and enhance our ability to provide personalized health management services, they introduce risks related to the accuracy, reliability, and security of AI -generatedrecommendations, including bias, errors in medical interpretation, and the risk of overreliance by us and the end consumers of our products on automated outputs. AI Agents may produce incorrect, incomplete, or inappropriate responses, potentially affecting customer health outcomes. These risks are inherent to current AI technologies and may persist or evolve as technology advances. Additionally, regulatory frameworks for AI in healthcare are still emerging, and future legal requirements could impact our operations, requiring modifications to our AI systems. To mitigate these risks, we plan to implement screening and due diligence processes when selecting third -partyinfrastructure providers, ensuring alignment with industry best practices and relevant healthcare regulations. We aim to regularly monitor and assess third -partytechnologies for performance, security, and compliance, as well as the AI industry landscape. Where necessary, adjustments or replacements to these infrastructures may occur to ensure the safety, accuracy, and reliability of our AI Agents. Furthermore, maintaining human oversight where appropriate is a priority, integrating medical professionals into the process when a human touch is required, to ensure our AI solutions continue to meet high standards of care and regulatory compliance. All outputs generated by AI Agents will remain subject to human oversight, especially where medical recommendations are involved. Licensed professionals will review and approve AI -drivenguidance as appropriate, specifically relating to medical diagnosis, and users will have access to human support if needed. However, there inherent risks to human oversight, which may be flawed or insufficient, potentially leading to errors in medical interpretation. Finally, the regulatory environment for AI in healthcare is evolving, with growing scrutiny around data privacy, transparency, and accountability. As our AI Agents process sensitive health data, we face risks related to compliance with diverse and emerging regulations. Failure to meet these standards, or any data breach resulting from either our own systems or third -partyinfrastructure, could lead to regulatory penalties, reputational damage, and financial losses. Additional Risks Related to the