- 期刊
AI智慧取代人性化關懷的挑戰與限制
Challenges and Limitations of AI Wisdom Replacing Humanized Care
摘要
隨著人工智慧（AI）技術的迅速發展，其在社會服務，特別是醫療和長期照顧領域的應用潛力日益受到重視。然而，AI是否能有效取代人性化關懷，並在複雜的社會互動中發揮作用，仍然面臨挑戰。本研究採用文獻分析方法，深入探討AI在提供情感支持、處理非語言資訊及建立信任關係中的限制。研究結果顯示，儘管AI在數據處理和基本支持方面具備優勢，但在理解非語言資訊（如面部表情、語調及肢體語言）方面存在顯著不足，這些資訊對於建立深層情感連結至關重要。此外，AI在滿足馬斯洛需求層次理論中的高層次情感需求及自我實現需求方面也顯示出限制。隨著臺灣老年人口比例的上升，對長期照顧服務的需求持續增加，這使得AI的應用面臨更高的挑戰。本研究強調，AI雖具備提升照護效率的潛力，但在情感理解和支持方面的局限性，提醒我們必須謹慎考量其在高情感需求領域的應用。未來的研究應聚焦於如何在技術進步與人性化關懷之間找到平衡，確保AI技術的推廣不會削弱人性化關懷的核心價值。總結來說，本研究旨在揭示AI在社會服務中的應用潛力與限制，並為未來的相關研究提供參考。
並列摘要
With the rapid advancement of artificial intelligence (AI) technology, its potential applications in social services, particularly in healthcare and long-term care, have gained increasing attention. However, whether AI can effectively replace humanized care and function in complex social interactions remains a challenge. This study employs a literature analysis method to explore the limitations of AI in providing emotional support, processing non-verbal cues, and establishing trust. The findings indicate that while AI excels in data processing and basic support, it significantly lacks the ability to understand non-verbal cues such as facial expressions, tone of voice, and body language-elements crucial for forming deep emotional connections. Additionally, AI shows limitations in meeting higher-level emotional needs and self-actualization as outlined in Maslow's hierarchy of needs. As Taiwan's aging population increases, the demand for long-term care services continues to rise, posing greater challenges for the application of AI. The study emphasizes that although AI has the potential to enhance care efficiency, its limitations in emotional understanding and support necessitate careful consideration of its use in high-emotional-demand contexts. Future research should focus on finding a balance between technological advancement and humanized care, ensuring that the promotion of AI technology does not undermine the core values of humanized care. In summary, this study aims to reveal the potential and limitations of AI in social services, providing a reference for future related research.