ACADEMIC RESEARCH • 學術研究 53 2025 UMAGAZINE 32 • 澳大新語 必須警惕這種潛在風險，並在享受AI帶來的便利之餘， 保持獨立思考的能力。 AI幸福感與AI態度有何關聯 讀者可能會好奇，AI幸福感與AI態度之間有何關聯？事 實上，兩者的構成是相互映射的。對AI持正面態度可促 進其AI幸福感，其促進程度為中等至偏高。這個結果亦 符合預期，因為AI態度主要通過認知層面來了解人們對 AI的反應，而「人工智能互動積極性量表」則更側重於 情感層面。然則，了解人們對AI的態度，對於開發有效 促進AI幸福感的系統和產品仍然具一定的參考價值。 AI帶來的機會與挑戰 AI將為我們帶來許多機會，但公民和政府都需要明智地 this approach has limitations, as the concept of AI is broad and not entirely clear. For example, some people might associate AI with science fiction, like Hollywood’s cybernetic Terminator, while others might think of mundane practical applications such as voice assistants. Nevertheless, our research found that global attitudes towards AI products such as ChatGPT and Ernie Bot correlate with greater trust and/or usage of specific LLM technologies. This suggests that assessing global attitudes towards AI has diagnostic value—it can help forecast AI adoption across different areas of life. Our findings also show that it is meaningful to distinguish between positive and negative attitudes towards AI. For example, participants with positive attitudes did not necessarily report fewer negative attitudes. In fact, some participants expressed enthusiasm about AI’s potential while simultaneously feeling anxious about it. This cognitive dissonance is understandable, given the unpredictable nature of the AI revolution. It is important for government officials to understand people’s attitudes and objective knowledge about AI. Such insights can inform the design of educational programmes and regulations to better prepare citizens for an AI-driven future, ultimately fostering AI wellbeing. What is AI Wellbeing? AI wellbeing can be understood in various ways, but its overarching goal is to foster wellbeing in society where everything—from refrigerators to cars—will be AI-powered. To achieve this, engineers and policy makers must design and implement AI systems in a humane and ethically sound manner. In another paper, On the relevance of Maslow’s need theory in 運用各種形式的AI。要了解公眾對AI的看法，以及AI是 否能真正促進幸福感，必須綜合考量多重因素。正如 我們在刊登於《遠程信息處理與信息學》（Telematics and Informatics Reports）的《以IMPACT框架從跨 學科的角度來理解AI幸福感的複雜性》（Considering the IMPACT framework to understand the AI-well-being complex from an interdisciplinary perspective）一文新提 出的理論框架IMPACT所主張：要成功引導AI革命，必 須考慮AI系統的互動模式（Interplay of Modaity）、 人因工程（Person-variable）、AI應用的領域（Area）、 文化與法規（Country/Culture），以及AI系統的透明程 度（Transparency）。我相信，澳門大學協同創新研 究院的跨學科研究方法，將有助於另闢蹊徑，應對 AI浪潮所帶來的複雜挑戰。 As artificial intelligence (AI) becomes increasingly integrated into products and services, there is an ongoing debate about how AI will impact societies and their citizens. Even among experts, attitudes and forecasts vary widely: Nobel laureate Geoffrey Hinton has warned about the potential risks of AI, while Yann LeCun, Meta’s chief AI scientist, has expressed a more optimistic view regarding the capabilities of large language models (LLMs). Against this background, it is crucial to recognise that public perception and attitudes towards AI will play a role in shaping the future of AI development and its applications in society. AI is Changing Society Despite the challenges of accurately predicting AI’s trajectory, it is clear that AI is changing society. From the recommendation engines behind social media feeds to the voice assistants on smartphones and advancements in autonomous vehicles, AI is here to stay. Therefore, it is important for governments around the world to understand whether their citizens are prepared for this rapid evolution and possess the necessary skills to leverage AI to enhance their competitiveness. After all, AI does not destroy jobs; it is the way humans choose to use it that does. Assessing Attitudes About AI To better understand what people think and know about AI, researchers have developed various psychometric tools. In our study, Shedding light on relationships between various attitudes towards AI measures and trust in generative AIs ChatGPT/Ernie Bot in a Chinese sample, published in Journal of Psychology and AI, we applied some of these tools to explore global attitudes towards AI, focusing on whether people have positive or negative perceptions of AI. Critics may argue that
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