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影片以「科技與永續的平衡」為主軸，鋰離子電池是驅動21世紀電動化與數位化的核心科技，從日常3C產品到工業4.0智能倉儲系統，再到再生能源轉型，這項技術正重塑全球產業樣貌。

鋰離子電池：從智慧型手機到電動車，幾乎所有電池供電裝置都仰賴這項技術。鋰離子科技對於所謂的「廠內物流」—即企業內部的物流系統—尤其關鍵。除了物料運輸外，公司內部的物流更涵蓋倉儲管理、包裝作業及數據科技等環節。時至今日，這些流程往往透過數位化方式管控。從資源庫存查詢、運輸載具調度，到人工智慧管控的大型倉儲系統，全球商業運作的每個環節都離不開這項快速進化的鋰離子科技。因此，大量研究正致力於改進鋰離子電池技術，目標在於提升電池效能、優化設備性能，並實現永續回收。
此外，全球對這種輕金屬的需求急速增長，必須開發新的鋰礦開採方式，目前歐洲和德國高度依賴從智利、澳洲和中國進口鋰礦，因此降低對外依存度成為重要課題。可能的解決方案包括從地熱發電廠的熱水中提取鋰，或是開採德國本土的鐵鋰雲母（Zinnwaldite）來獲取鋰資源。

Lithium-ion batteries: From smartphones to electric cars, nearly every battery-powered device relies on them. Lithium-ion technology is particularly important for something called ‘intralogistics’–the logistics within a company. In addition to the movement of materials, intralogistics also encompasses things like storage, packaging and data technology. Today, all these processes are often controlled digitally. From querying resource availability to the use of transportation vehicles and AI-controlled large-scale storage, nothing in global commerce runs without the rapidly advancing technology of lithium ions. That's why a great deal of research is being done to improve lithium-ion technology: The focus is on higher battery efficiency, better vehicles and sustainable recycling.
New ways of obtaining lithium must also be found, because global demand for the light metal is growing rapidly. It is in Germany's and Europe's interests to become less reliant on imports from Chile, Australia and China, where the majority of lithium is currently mined. One approach is to extract it from thermal water in geothermal power plants. Another could be to extract lithium from zinnwaldite, a mineral found in some parts of Germany.

演算法正重塑社會秩序，從教育分配到犯罪預測，深刻影響人生軌跡。基於缺陷數據運作時，可能加劇偏見與不平等。科技創新須搭配倫理審查，確保演算法透明、可問責。關鍵不在開發更強AI，而是構建符合人類價值的智能系統，讓科技真正造福社會。這需要科技與人文的深度對話，在效率與公平間取得平衡。

演算法正潛伏於幕後運作—在一些領域它們對人類生活產生巨大影響。例如：篩選機制：決定哪些申請者能獲得進修或培訓機會；犯罪預測：警方用來評估哪些罪犯者可能再犯下更嚴重的罪行。在人工智慧的框架下，這些演算法會根據「訓練數據的數量、品質與適用性」不斷學習和調整。AI系統展現強大的能力，容易讓人過早信賴其運算結果，但這可能對個人或群體造成重大的財務與社會後果。我們能否教導AI人工智慧及其演算法學會「負責任地行事」？

Algorithms are at work behind the scenes–in areas where they’re having a huge impact on human lives. For example, in filtering applications to study and training programs or in policing to predict which offenders may go on to commit worse crimes. Within the context of Artificial Intelligence, algorithms are constantly learning and changing depending on the volume, quality and suitability of their training data. The impressive capabilities of AI systems can make it tempting to place premature trust in their calculated results. With considerable financial and social consequences for individuals and groups. Can AI and its algorithms be taught to behave with esponsibility?

科技是雙面刃，進步需與倫理並行，必須以人為本，方能真正改變世界。

這部影片帶我們見證量子科技的突破性發展！從醫療革命到能源革新，量子運算展現驚人潛力：人工肺研發、癌症治療突破、減少動物實驗，處處顯示科技如何改善人類生活。影片提醒我們，科技發展需平衡創新速度與社會責任，量子革命不應只是技術競賽，更應是人類福祉的推進器，量子科技將重塑未來，但唯有謹慎應用，才能真正造福人類。

量子運算是一項令人寄予厚望的技術，例如，它有可能在某一天使動物實驗變得多餘。全球第一台完全用於醫學研究的量子電腦於2023年正式啟用，那麼，量子電腦與我們目前使用的設備有何不同？為何它們的速度更快、更節能？這項技術對我們的數位社會是否存在潛在的不利影響呢？
Google和IBM等大型公司正競相開發更先進、快速的量子電腦。這部影片揭開超級電腦的世界，探討其潛力與風險如何並存。

Quantum computing is a technology that’s raising huge hopes. For example, that it could one day render animal testing superfluous. The first quantum computer to be used entirely for medical research went into operation in 2023. So, how do quantum computers differ from the devices we’ve been using until now? Why are they so much faster and more energy efficient? And does the technology harbor any potential disadvantages for our digital society? 
Big players such as Google and IBM are in competition to create ever newer and faster quantum computers. This film opens a window into the world of supercomputers, and explores how their potential and their dangers seem to exist side by side.
 

加密貨幣既是技術革命的象徵，也是金融體系未來發展的一個重要議題，深入探討加密貨幣議題及其在金融、科技的影響力。

加密貨幣（Cryptocurrency），又稱「虛擬貨幣」，已炒作了很多年。數位貨幣被吹捧為擺脫大型銀行控制的手段，並可繞過嚴格的金融監管，它被當作熱門商品交易，甚至被名人推崇為未來的貨幣。光鮮亮麗的Instagram廣告讓人感覺加密貨幣無處不在，然而，到目前為止，幾乎沒有國家承認加密貨幣為法定貨幣，與任何新技術一樣，加密貨幣提供了機會，但也帶來風險。

Cryptocurrency, also known as “crypto”, has been hyped for years. Digital money is touted as a means of emancipation from big banks and a way to get around strict financial regulations. It’s traded as a hot commodity and promoted by celebrities as the currency of the future. Glossy Instagram ads make it seem like cryptocurrencies are everywhere. Yet thus far, hardly any nations have recognized crypto as legal tender. Like any new technology, cryptocurrency offers opportunities – but it also poses risks.

在享受數位娛樂的同時，需警惕平台背後的潛在影響，並反思科技對個人與社會的深遠作用。

TikTok已經席捲全球。自從2018年社群媒體平台成立以來，該應用程式已被下載數十億次。每天都有數百萬人瀏覽TikTok上無盡的短視頻內容，內容經過篩選：數據分析工具根據TikTok認為有趣的內容向個別用戶推薦視頻，被TikTok認定為有爭議性的內容會減少曝光率，甚至被完全過濾掉，這個過程自動排除了某些話題和用戶，包括有色人種、持少數觀點的人或殘障人士。誰擁有這些數據？而這些數據又傳遞了什麼樣的世界觀？

TikTok has taken the world by storm. Since the social media platform’s early days in 2018, the app has been downloaded billions of times. Millions of people scroll through TikTok’s endless feeds of short videos every day. Content is filtered: Data analysis tools are used to suggest videos for individual users based on what TikTok deems interesting. Content classified as controversial by TikTok gets less visibility or is filtered out entirely. This process automatically excludes certain topics and users, including people of color, people with minority views or people with disabilities. Who has access to all this data – and what kinds of worldviews are being conveyed?

在數位時代，AI與社群媒體正重塑選民預測與意見研究，科技讓溝通更即時、無界，但也引發數據隱私與代表性挑戰，如何在進步中守護倫理，成為關鍵課題。

預測公眾輿論變化的能力在近幾十年來，已經以指數級的速度增長。如今，人工智慧和社群媒體數據被用來以過去無法想像的方式預測選民行為，幾乎所有我們使用的每一項網路服務，我們都在自願且經常無意識地披露個人資料，這些數據隨後由AI人工智慧進行分析，從而創建不同人口群體及其政治偏好的檔案，由此產生的政治預測準確得驚人，但政治人物應該如何處理這些高科技的選民心理圖譜呢？

The ability to predict shifts in public opinion has evolved exponentially in recent decades. Today, artificial intelligence and social media data are being used to predict voter behavior in previously impossible ways. With virtually every Internet service we use, we voluntarily and often unconsciously disclose personal data. This data is then analyzed by AI to create profiles of different population groups – and their political preferences. The resulting political predictions are astonishingly accurate. But how should politicians deal with these high-tech psychograms of their constituencies?

這是一場關於知識、權力與未來的深刻對話。維基百科展現集體智慧的力量，也暴露知識共享的挑戰，開放知識平台需平衡自由與規範，抵禦外部干預，並在AI時代堅守人文價值，才能持續為人類文明服務。

維基百科秉持著提供人類所有知識免費存取的理念，因此已經取代了傳統的印刷百科全書，該網站總共擁有約五千萬篇文章，涵蓋近三百種語言，任何人都可以參與編輯。然而，關於這些龐大知識庫的個別創作者卻鮮為人知，是什麼驅使他們在無償的情況下投入時間為人類知識服務？當帶有隱藏議程的作者代表國家或產業巨頭滲透到社群時，會發生什麼？最後，這些貢獻者是否會很快被人工智慧所取代？

With its philosophy of trying to provide free access to the sum of all human knowledge for all, Wikipedia has supplanted printed encyclopedias. In total, the website features some 50 million articles in nearly 300 languages. Anyone can contribute to it. But little is known about the individual creators of this vast pool of knowledge. What drives them to spend unpaid time in the service of human knowledge? And what happens when authors with hidden agendas infiltrate the community on behalf of states or industrial giants? Finally, might these contributors soon be replaced by Artificial Intelligence?

這部紀錄片將帶給你震撼與深思，這是一部讓人重新思考數位時代倫理與社會安全的必看之作。

社群網路在遭遇危機的地區具有巨大的影響力——例如，當暴力事件發生時。 用戶的情緒被仇恨言論、攻擊性圖片和假新聞所煽動，局勢可能迅速升級——就像是衣索比亞提格雷衝突一樣。 到目前為止，網站運營商採取的對策仍然不足，但我們應該期待平台如何處理其內容呢？像 Meta 這樣的公司該承擔多少責任？那麼，這對內容審核員的工作意味著什麼呢？

Social networks wield great influence in crisis-hit areas – when violence erupts, for example. The emotions of users are stoked by hate speech, aggressive images and fake news. Situations can escalate rapidly – as in the case of Ethiopia’s Tigray conflict. So far, countermeasures taken by site operators have been inadequate. But how should we expect platforms to handle their content? What share of the responsibility lies with companies like Meta? And what does this all mean for the work of content moderators, which is so crucial to such processes?