DESTINI BANGSAKU (LEGAL DISCOURSE)

The advisors, President Qistina, Committee members, Ladies and Gentlemen. Assalammualaikum. It is with a sense of great honour and deep appreciation that I greet each and every one of you on this remarkable morning. As I stand before you, I am filled with gratitude for the privilege of addressing the esteemed members of the Seketariat Mahasiswa Fakulti (SMF) at this Annual General Meeting. Your presence and energy in this room reflect the vibrant intellectual and communal spirit that defines our academic institution. Before I proceed, I must take a moment to extend my heartfelt commendations to the tireless efforts of the organizing committee. Your dedication, meticulous planning, and unwavering commitment to bring this event to fruition are nothing short of remarkable. The seamless execution of this AGM, during your holiday, is a testament to your spirit of collaboration and determination. Congratulations. As we gather here today to reflect on our journey and set our sights on t

  https://ieeexplore.ieee.org/document/10150615

https://msocialsciences.com/index.php/mjssh/article/view/1086  

  Among the major dangers are: 1)  Breach of data: AI systems frequently rely on massive datasets to perform properly. If these databases are not adequately safeguarded, they may be exposed to data breaches, possibly exposing sensitive information about persons, businesses, or organizations. 2)   Data profiling and inference: AI algorithms may examine data patterns to draw conclusions and make predictions about individuals. This could result in unwanted profiling and discrimination, as well as the disclosure of personal information that individuals may not want to be revealed. 3)Inconsistency: Some AI models, particularly deep learning models, can be extremely complex and difficult to interpret. Because of this lack of transparency, it can be difficult to comprehend how the AI system arrived at a given choice, potentially leading to a lack of responsibility and challenges in addressing privacy concerns. 4)Cross-referencing and data aggregation: AI can develop extensive profiles of indi

    1)Faster Claims Processing: AI-powered systems can swiftly evaluate and process vast amounts of data, allowing faster claims processing. Customers will benefit from faster claim settlements, increasing customer satisfaction and retention rates. 2)Fraud Detection: AI systems can be trained to spot trends and anomalies in claims data, making it easier to detect fraudulent claims. This guarantees that valid claims are processed quickly, while fraudulent claims are highlighted for further examination, limiting potential losses for insurance companies. 3)Risk Assessment: AI can help with risk assessment and determining appropriate insurance rates for customers based on their specific circumstances. This tailored approach to risk assessment has the potential to result in more equitable pricing for customers and a better knowledge of the overall risk profile for insurance companies. 4)Chatbots and client Service: AI-powered chatbots can manage client enquiries and help them through the cl

  https://www.fam.org.my/news/siaran-media-sembilan-individu-dilantik-menganggotai-pasukan-petugas-khas-presiden-fam