The evolving dynamics of natural versus artificial intelligence: An emergent framework for public health technology assessment

Abstract

The interaction between natural intelligence (NI) and artificial intelligence (AI) is increasingly significant as technology evolves. While NI has historically driven human progress, AI introduces new models in problem-solving and decision-making. This study explores the dynamics between these forms of intelligence and their implications for public health technology assessment. This review employs a multidisciplinary approach, including historical analysis, comparative case studies, and examination of ethical considerations, to assess the impact of AI relative to NI. Natural intelligence has traditionally addressed complex problems, but AI now enhances capabilities through data analysis and precision. While AI offers significant benefits across sectors such as health care, finance, and education, it also raises concerns about data privacy, ethics, and job displacement. In public health, AI can improve disease management and resource allocation, though challenges related to health disparities and data security persist. The integration of AI presents substantial opportunities but requires careful management of ethical and practical challenges. Maintaining a balance between leveraging AI and preserving human cognitive functions is crucial. Developing a prototype model to address current global public health challenges, based on the perspectives presented and the considerations discussed, could provide valuable additional insights into effective strategies for managing these complex issues worldwide. The future of AI involves integrating technological advancements with human intelligence to enhance capabilities while addressing ethical and practical issues. This balance will be key to advancing public health and other sectors effectively.

Keywords

• Big data management
• digital technologies
• innovation
• populational well-being
• resource allocation

Doğal Ve Yapay Zekânın Gelişen Dinamikleri: Halk Sağlığı Teknoloji Değerlendirmelerinde Yeni Bir Çerçeve

Öz

Doğal zekâ ile yapay zekâ arasındaki etkileşim, teknolojik ilerlemeler sürecinde giderek daha fazla önem kazanmaktadır. Tarih boyunca doğal zekâ, insanlığın ilerlemesini yönlendirmiştir; ancak yapay zekâ, problem çözme ve karar verme süreçlerinde yeni modeller sunmaktadır. Bu çalışma, bu iki zekâ biçimi arasındaki dinamikleri ve halk sağlığında teknolojik değerlendirmeleri incelemektedir. Bu inceleme, yapay zekânın doğal zekâya göre etkilerini değerlendirmek amacıyla tarihsel analiz, karşılaştırmalı vaka çalışmaları ve etik değerlendirmeleri içeren disiplinler arası bir yaklaşımı benimsemektedir. Doğal zekâ genellikle karmaşık problemleri ele alırken, yapay zekâ veri analizi ve hassas ölçümler aracılığıyla yetenekleri geliştirmektedir. Yapay zekâ, sağlık, finans ve eğitim gibi sektörlerde önemli faydalar sağlarken, veri gizliliği, etik ve iş kaybı gibi endişeleri de beraberinde getirmektedir. Halk sağlığında yapay zekâ, hastalık yönetimini ve kaynak tahsisini iyileştirebilir; ancak sağlık eşitsizlikleri ve veri güvenliği gibi zorluklar göz önünde bulundurulmalıdır. Yapay zekânın entegrasyonu büyük fırsatlar sunmakla birlikte, etik ve pratik zorlukların dikkatli bir şekilde yönetilmesi gerekmektedir. Yapay zekâyı kullanılırken, insanın bilişsel işlevlerini korumak ve aralarında denge sağlamak çok önemlidir. Sunulan perspektifler ve tartışılan hususlar temelinde, küresel kamu sağlığı sorunlarına yönelik bir prototip model geliştirmek mümkündür. Karmaşık sorunları küresel ölçekte yönetebilmek için etkili stratejilerin geliştirilmesine yönelik ek bilgiler sunulmaktadır. Yapay zekânın geleceği, teknolojik gelişmeleri insan zekâsı ile entegre etmek yoluyla yetenekleri artırmayı ve etik ile pratik sorunları ele almayı içerir. Bu denge, halk sağlığı ve diğer sektörlerde etkili bir ilerleme sağlamanın anahtarı olacaktır.

Anahtar Kelimeler

• Büyük veri yönetimi
• dijital teknolojiler
• inovasyon
• toplumsal iyilik hali
• kaynak tahsisi

Kaynakça

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