Wilfred W. K. Lin

L'IA generativa ha il potenziale per rivoluzionare molti aspetti della nostra vita, ma solleva anche importanti problemi etici e sociali. Lo sviluppo di un'IA generativa responsabile richiede un approccio riflessivo e proattivo per affrontare queste sfide.Principi di un'IA generativa responsabileDiversi principi possono guidare lo sviluppo e la diffusione di un'IA generativa responsabile: Trasparenza e spiegabilit I modelli di IA generativa dovrebbero essere trasparenti e spiegabili, consentendo agli utenti di capire come generano i risultati e prendono le decisioni. Questa trasparenza fondamentale per creare fiducia e garantire che i modelli non vengano utilizzati in modo dannoso o discriminatorio: I modelli di IA generativa dovrebbero essere equi e non discriminatori, evitando pregiudizi che potrebbero perpetuare o esacerbare le disuguaglianze esistenti. Ci richiede un'attenta considerazione dei dati utilizzati per l'addestramento dei modelli e del potenziale di amplificazione dei pregiudizi attraverso il processo generativo: Gli sviluppatori e gli utilizzatori dell'IA generativa devono essere responsabili dell'impatto dei loro modelli.

A IA generativa tem o potencial de revolucionar muitos aspectos das nossas vidas, mas tamb m levanta importantes preocupa es ticas e sociais. O desenvolvimento respons vel da IA generativa requer uma abordagem ponderada e pr -ativa para enfrentar estes desafios.Princ pios de uma IA generativa respons velV rios princ pios podem orientar o desenvolvimento e a aplica o de uma IA generativa respons vel: Transpar ncia e explicabilidade: Os modelos de IA generativa devem ser transparentes e explic veis, permitindo aos utilizadores compreender como geram resultados e tomam decis es. Esta transpar ncia crucial para criar confian a e garantir que os modelos n o s o utilizados de forma prejudicial ou discriminat ria: Os modelos de IA generativa devem ser justos e n o discriminat rios, evitando preconceitos que possam perpetuar ou exacerbar as desigualdades existentes. Para tal, necess rio considerar cuidadosamente os dados utilizados para treinar os modelos e a possibilidade de os preconceitos serem amplificados atrav s do processo generativo.Presta o de contas e responsabilidade: Os criadores e os respons veis pela implementa o da IA generativa devem ser responsabilizados pelos impactos dos seus modelos.

Recent years have seen the development of two significant trends namely: the adoption of some Traditional Chinese Medicine Practices into mainstream Allopathic Western Medicine and the advent of the internet and broad band networks leading to an increased interest in the use of Telemedicine to deliver medical services.In this book, we see the convergence of these two trends leading to a semantically-based TCM Telemedicine system that utilizes an ontology to provide sharable knowledge in the TCM realm to achieve this.The underpinning research required the development of a three-layer architecture and an Ontology of the TCM knowledge.As TCM knowledge like all medical knowledge is not frozen in time it was important to develop an approach that would allow evolution of the Ontology when new evidence became available.In order for the system to be practically grounded it was important to work with an industry partner PuraPharm Group/HerbMiners Informatics Limited. This partnership was initiated through Professor Allan Wong and the Chairman of PuraPharm Group Mr. Abraham Chan. This led to the system being utilized in more than 20 Mobile Clinics in Hong Kong and 300 Hospitals in China.In order for these different deployments of the system to be coherent with the main core Ontology, it was necessary for us to develop an Ontology Driven Software System Generation approach.

Recent years have seen the development of two significant trends namely: the adoption of some Traditional Chinese Medicine Practices into mainstream Allopathic Western Medicine and the advent of the internet and broad band networks leading to an increased interest in the use of Telemedicine to deliver medical services.In this book, we see the convergence of these two trends leading to a semantically-based TCM Telemedicine system that utilizes an ontology to provide sharable knowledge in the TCM realm to achieve this.The underpinning research required the development of a three-layer architecture and an Ontology of the TCM knowledge.As TCM knowledge like all medical knowledge is not frozen in time it was important to develop an approach that would allow evolution of the Ontology when new evidence became available.In order for the system to be practically grounded it was important to work with an industry partner PuraPharm Group/HerbMiners Informatics Limited. This partnership was initiated through Professor Allan Wong and the Chairman of PuraPharm Group Mr. Abraham Chan. This led to the system being utilized in more than 20 Mobile Clinics in Hong Kong and 300 Hospitals in China.In order for these different deployments of the system to be coherent with the main core Ontology, it was necessary for us to develop an Ontology Driven Software System Generation approach.