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Breaking Down The Myths Of AI

Breaking Down The Myths Of AI

揭穿人工智能的神話
Business Today ·  01/14 03:13
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By Dr Noor Munirah Isa and Dr Norulhidayah Isa

由諾爾·穆尼拉·伊薩博士和諾魯爾·希達亞·伊薩博士撰寫

Artificial intelligence (AI) is rapidly becoming a staple of daily life, influencing how people shop, navigate traffic, and interact with digital systems. In Malaysia, the National AI Office (NAIO) launch under the MyDIGITAL initiative marks a significant step toward integrating AI into key sectors to drive innovation and improve public services. However, addressing widespread misconceptions about AI is crucial for these initiatives to succeed. As noted in Mission AI: The New System Technology by Sheikh, Prins, and Schrijvers (2023), demystification is an essential step in embedding AI into society, ensuring that people understand its capabilities, limitations, and role.

人工智能(AI)正迅速成爲日常生活的必要組成部分,影響着人們購物、駕車和與數字系統互動的方式。在馬來西亞,國家人工智能辦公室(NAIO)在MyDIGITAL倡議下的啓動標誌着將人工智能整合進關鍵領域,以推動創新和改善公共服務的重要一步。然而,解決社會對人工智能的廣泛誤解對於這些倡議的成功至關重要。正如謝赫、普林斯和施賴弗斯在《使命AI:新系統科技》(2023)中所提到的,去神祕化是將人工智能融入社會的基本步驟,確保人們理解其能力、侷限性和作用。

Despite its growing presence, AI remains misunderstood. It is either celebrated as a miraculous tool capable of solving humanity's greatest challenges or feared as a force that will replace jobs and compromise privacy. Much of this misunderstanding arises from science fiction portrayals and advanced discussions about Artificial General Intelligence (AGI) and superhuman AI, overshadowing the fundamental essence of how AI is created and operates. Fictional representations in movies like The Terminator or Ex Machina have long shaped public perceptions, presenting AI as self-aware and potentially dangerous. While entertaining, these depictions are far removed from reality. Current AI operates strictly within the boundaries of its programming and lacks the consciousness or intent often attributed to it in fiction.

儘管人工智能的存在日益增長,但仍然受到誤解。它要麼被視爲能夠解決人類最大挑戰的神奇工具,要麼被視爲一種將取代工作並損害隱私的力量。這種誤解在很大程度上源於科幻作品的展現和對人工一般智能(AGI)及超人類人工智能的深入討論,這些都掩蓋了人工智能是如何創造和運作的基本本質。像《終結者》或《機器紀元》這樣的電影中的虛構表現長期以來塑造了公衆感知,呈現出人工智能是自我意識且潛在危險的。儘管這些描繪富有娛樂性,但與現實相去甚遠。當前的人工智能嚴格運行在其編程的邊界內,缺乏科幻作品中常常歸 attributed 給它的意識或意圖。

The gap between perception and reality widens with concepts like Artificial General Intelligence, a theoretical form of AI that matches human intelligence across all domains. Unlike narrow AI, which excels at specific tasks such as language translation or traffic optimization, AGI could learn and solve problems broadly without retraining for new tasks. An example often cited to illustrate AGI is a single AI system that could perform diverse tasks such as diagnosing illnesses, composing music, driving vehicles, and conducting scientific research without requiring task-specific adjustments. While AGI has captured imaginations, it remains an aspirational concept requiring breakthroughs beyond technological capabilities. Mustafa Suleyman, CEO of Microsoft AI, highlights a compelling perspective on AGI, describing it as the "digital companion that every human needs." He envisions AGI as a tool to enhance human capabilities, helping individuals make better decisions and feel more supported and intelligent. This vision emphasizes AGI's potential as a complement to human intelligence rather than a rival, shifting the narrative from fear to collaboration.

人們對於人工一般智能這樣的概念的認知與現實之間的差距進一步擴大,人工一般智能是一種理論上的人工智能,能在所有領域與人類智能相當。與在語言翻譯或交通優化等特定任務中表現卓越的窄人工智能不同,AGI可以廣泛學習和解決問題,而無需進行任務特定的再培訓。一個經常用來說明AGI的例子是一個可以執行多種任務的單一人工智能系統,例如診斷疾病、作曲、駕駛車輛和進行科學研究,而無須進行任務特定的調整。儘管AGI吸引了人們的想象,但仍然是一個需要在技術能力之上取得突破的理想化概念。微軟人工智能首席執行官穆斯塔法·蘇萊曼對AGI提出了一個引人注目的觀點,稱其爲「每個人類所需的數字伴侶」。他設想AGI是一個增強人類能力的工具,幫助個人做出更好的決定,並感到更多的支持和聰明。這一願景強調了AGI作爲人類智能的補充潛力,而不是競爭對手,從恐懼轉向合作。

Similarly, superhuman AI, which outperforms humans in specific domains, adds another layer of fascination and apprehension. Examples like AlphaZero for chess and AlphaFold for protein folding demonstrate superhuman capabilities in narrow fields. However, the idea of a general superhuman AI surpassing human intelligence in all areas remains speculative, further fuelling confusion about AI's capabilities.

同樣,超人類人工智能在特定領域超越人類,增加了另一個層面的迷惑和擔憂。像AlphaZero在國際象棋和AlphaFold在蛋白質摺疊方面的例子展示了超人類在狹窄領域的能力。然而,普遍超人類人工智能在所有領域超過人類智能的想法仍然是猜測,進一步加深了對人工智能能力的混淆。

Contrary to dramatic portrayals, most AI systems today are practical tools designed for specific tasks. They seamlessly integrate into everyday applications, often operating invisibly. For instance, navigation apps use real-time traffic data to suggest the fastest routes, online shopping platforms recommend products based on browsing habits, and chatbots handle customer queries with predefined responses. These examples highlight how AI supports daily activities without resembling the autonomous machines of fiction.

與戲劇化的描繪相反,今天大多數人工智能系統是爲特定任務設計的實用工具。它們無縫集成到日常應用中,通常在無形中運行。例如,導航應用使用實時交通數據建議最快的路線,在線購物平台根據瀏覽習慣推薦產品,聊天機器人用預設的回答處理客戶查詢。這些例子突顯了人工智能如何支持日常活動,而不是像小說中的自主機器那樣。

Demystifying AI begins with understanding its current role in society. AI is not a self-aware entity, but a tool programmed to process data, recognize patterns, and assist with specific tasks. Clarifying how AI works in practical contexts dispels the notion of AI as either a magical solution to all problems or a looming existential threat. Public confidence in AI also depends on recognizing its limitations. AI cannot think independently or possess human qualities like creativity, empathy, or ethical reasoning. Instead, it performs tasks based on human-created data and algorithms. This understanding is key to seeing AI as a tool to complement human efforts rather than something to fear.

揭開人工智能的面紗始於了解其在社會中的當前角色。人工智能不是一個自我意識的實體,而是一個被編程來處理數據、識別模式並協助特定任務的工具。澄清人工智能在實際環境中的工作原理打破了人工智能既是解決所有問題的神奇方案又是潛在生存威脅的觀念。公衆對人工智能的信心也取決於承認其侷限性。人工智能不能獨立思考,也沒有創造力、同情心或倫理推理等人類特質。相反,它根據人類創造的數據和算法執行任務。這種理解是將人工智能視爲補充人類努力而非恐懼的關鍵。

Building trust in AI requires more than dispelling myths; it involves fostering meaningful engagement with the technology. Education is central to this process. By understanding how AI works, questioning its capabilities, and consulting credible sources, individuals can shift their perceptions from fear and speculation to informed acceptance. Open communication is equally crucial. Public forums, workshops, and accessible resources can bridge the gap between complex AI concepts and everyday understanding. These platforms clarify misconceptions and ensure AI's development aligns with societal values and priorities.

建立對人工智能的信任需要的不僅僅是打破神話;還需要與技術進行有意義的互動。教育在這個過程中至關重要。通過了解人工智能如何工作、質疑其能力和諮詢可信來源,個人可以將他們的看法從恐懼和猜測轉變爲知情的接受。開放的溝通同樣重要。公共論壇、研討會和易於獲取的資源可以彌合複雜的人工智能概念與日常理解之間的差距。這些平台澄清誤解,確保人工智能的發展與社會價值觀和優先事項保持一致。

As Malaysia continues integrating AI into various aspects of daily life, demystification will play a vital role in ensuring this transformative technology is embraced with confidence and trust. AI can become a trusted partner in shaping a better future for all by focusing on education, transparency, and engagement.

隨着馬來西亞將人工智能融入日常生活的各個方面,消除神祕感將在確保這一變革性科技受到信懇智能和Trust的重視中發揮重要作用。通過專注於教育、透明度和參與,人工智能能夠成爲塑造所有板塊更美好未來的可信夥伴。

Dr Noor Munirah Isa, Senior lecturer, Department of Science and Technology Studies, Faculty of Science, Universiti Malaya. Dr Norulhidayah Isa, Senior lecturer, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Cawangan Terengganu.

諾爾·穆尼拉·伊薩博士,馬來亞大學科學與科技研究系高級講師。諾爾·希達雅·伊薩博士,馬來西亞理工大學特倫甘努分校計算機、信息學和數學學院高級講師。

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