Technology Ethics科技倫理
聆聽課程
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#1
Artificial intelligence has transformed the way we live, work, and communicate over the past decade.
人工智慧在過去十年中改變了我們生活、工作和溝通的方式。
#2
From personalized recommendations on streaming platforms to facial recognition systems in public spaces, AI technology has become deeply embedded in our daily routines.
從串流平台上的個人化推薦到公共場所的面部識別系統，人工智慧技術已深深嵌入我們的日常生活之中。
#3
However, as these systems grow more powerful, serious questions about ethics, privacy, and regulation have emerged.
然而，隨著這些系統變得更加強大，關於倫理、隱私和規範的嚴重問題也隨之浮現。
#4
Society must now decide how to balance the benefits of innovation with the protection of fundamental human rights.
社會現在必須決定如何在創新的利益與基本人權的保護之間取得平衡。
#5
One of the most pressing concerns surrounding AI is the issue of data privacy.
圍繞人工智慧最迫切的擔憂之一是數據隱私問題。
#6
Modern AI systems require enormous amounts of personal data to function effectively and improve their accuracy.
現代人工智慧系統需要大量的個人數據才能有效運作並提高其準確性。
#7
Every time we use a search engine, make an online purchase, or interact with a virtual assistant, our data is collected and analyzed.
每當我們使用搜尋引擎、進行網上購物或與虛擬助手互動時，我們的數據都會被收集並分析。
#8
In many cases, users are not fully aware of how their information is being stored, shared, or sold to third parties.
在許多情況下，使用者並不完全清楚他們的資訊是如何被儲存、分享或出售給第三方的。
#9
This lack of transparency has led to growing public distrust toward technology companies and their data practices.
這種透明度的缺乏已導致大眾對科技公司及其數據做法日益增長的不信任。
#10
Governments around the world have begun introducing regulation to address these challenges and protect citizens' digital rights.
世界各國政府已開始引入法規，以應對這些挑戰並保護公民的數位權利。
#11
The European Union's General Data Protection Regulation, commonly known as GDPR, was among the first comprehensive frameworks designed to give individuals greater control over their personal data.
歐盟的《一般資料保護規範》（通常簡稱為 GDPR）是首批旨在讓個人對其個人資料擁有更大控制權的全面性框架之一。
#12
Under GDPR, companies must obtain explicit consent before collecting user information and must clearly explain how that data will be used.
在 GDPR 的規定下，公司在收集使用者資訊之前必須獲得明確同意，且必須清楚說明該數據將如何被使用。
#13
Other countries have since followed with their own legislation, though the scope and enforcement of these laws vary significantly.
自那以後，其他國家也紛紛效法，制定了自己的立法，儘管這些法律的範圍和執行力有顯著差異。
#14
Beyond privacy, there are broader ethical questions that society must confront as AI becomes more advanced.
除了隱私之外，隨著人工智慧變得更加先進，社會必須面對更廣泛的倫理問題。
#15
For instance, algorithms used in hiring processes or criminal justice systems have been shown to contain hidden biases that disproportionately affect certain groups.
例如，用於招聘流程或刑事司法系統的演算法已被證明含有隱藏的偏見，這些偏見不成比例地影響某些群體。
#16
These biases often reflect existing inequalities in the data that was used to train the AI models.
這些偏見往往反映了用於訓練人工智慧模型的數據中既存的不平等。
#17
Without careful oversight, such systems risk reinforcing discrimination rather than reducing it.
若缺乏仔細的監督，這類系統恐將強化歧視而非減少歧視。
#18
who should be held accountable when an AI system causes harm?
當人工智慧系統造成損害時，誰應該被追究責任？
#19
Looking ahead, the relationship between technology and ethics will only become more complex as AI continues to evolve.
展望未來，隨著人工智慧持續演進，科技與倫理之間的關係只會變得更加複雜。
#20
Experts argue that effective regulation must keep pace with technological development, which requires ongoing collaboration between governments, technology companies, and civil society.
專家們主張，有效的監管必須與技術發展保持同步，這需要政府、科技公司和公民社會之間的持續合作。
#21
Education also plays a vital role, as citizens need to understand their digital rights and demand greater accountability from the organizations that handle their data.
教育也扮演著至關重要的角色，因為公民需要了解他們的數位權利，並要求處理其數據的組織承擔更大的責任。
#22
Ultimately, building an ethical framework for AI is not just a technical challenge but a deeply human one that will shape the future of our societies.
最終，為人工智慧建立倫理框架不僅是一項技術挑戰，更是一個將塑造我們社會未來的深刻人文挑戰。