區塊鏈技術可能即將找到它的殺手級用例：人工智慧問責制

隨著能夠創建與現實幾乎無法區分的文字、圖片甚至影片的生成式人工智慧模型的迅速崛起，全球的政策制定者都處於不利地位。

Generative AI models are capable of creating texts, pictures, and even videos that are virtually indistinguishable from reality. This technology has the potential to revolutionize many industries, but it also poses new challenges for policymakers.

生成式人工智慧模型能夠創造與現實幾乎無法區分的文字、圖片甚至影片。這項技術有可能徹底改變許多產業，但也為政策制定者帶來了新的挑戰。

One of the biggest challenges is ensuring that generative AI models are used responsibly. For example, if a deepfake of a politician admitting to a heinous crime goes viral and costs them the election, how do we discover who did it? Or if an AI model developed by a trading house crashes a national economy and causes financial instability, how do we hold the developers accountable?

最大的挑戰之一是確保負責任地使用生成式人工智慧模型。例如，如果一位政客承認犯下令人髮指的罪行的深度偽造行為在網上瘋傳並導致他們失去選舉，我們如何發現是誰幹的？或者，如果貿易公司開發的人工智慧模型導致國家經濟崩潰並導致金融不穩定，我們該如何讓開發商負責？

To address these challenges, some policymakers are considering using blockchain technology to create an immutable evidence trail for generative AI models. This would allow regulators to track who created a particular model, what data was used to train it, and how it was used.

為了應對這些挑戰，一些政策制定者正在考慮使用區塊鏈技術為產生人工智慧模型創建不可變的證據線索。這將使監管機構能夠追蹤誰創建了特定模型、使用哪些數據來訓練該模型以及如何使用該模型。

An immutable evidence trail would make it much easier to enforce regulations on generative AI models. It would also naturally disincentivize bad behavior in the first place. After all, people are less inclined to steal when they know a CCTV is watching them.

不可變的證據線索將使對產生人工智慧模型的監管變得更加容易。它自然也會從一開始就抑制不良行為。畢竟，當人們知道閉路電視正在監視他們時，他們就不太願意偷竊。

However, this doesn’t have to lead to a world without privacy; quite the opposite. By using privacy-preserving techniques, such as zk-SNARKs, we can keep sensitive data confidential while still allowing regulators to verify its authenticity.

然而，這並不一定會導致一個沒有隱私的世界；恰恰相反。透過使用 zk-SNARK 等隱私保護技術，我們可以對敏感資料保密，同時仍允許監管機構驗證其真實性。

At the recent London Blockchain Conference, FICO’s Scott Zoldi explained how the data analytics company uses a private blockchain to create accountability in AI. It stores the evidence trail on a private blockchain, which regulators can access as needed.

在最近舉行的倫敦區塊鏈會議上，FICO 的 Scott Zoldi 解釋了這家數據分析公司如何使用私人區塊鏈來創建人工智慧問責制。它將證據追蹤儲存在私有區塊鏈上，監管機構可以根據需要存取該區塊鏈。

However, private blockchains have their limitations—one being that they are essentially databases controlled by the same entities regulators may be trying to investigate.

然而，私有區塊鏈也有其局限性，其中之一是它們本質上是由監管機構可能試圖調查的相同實體控制的資料庫。

The solution is scalable public blockchains like BSV. These allow for sensitive data to be stored in private overlay networks while being linked back to cryptographic hashes of the data on a public chain. In this way, regulators can verify that data in the private networks has not been altered since its creation. Thus, we have an immutable evidence trail with sensitive data kept away from prying eyes but linked directly back to a public record that cannot be tampered with.

解決方案是像 BSV 這樣的可擴展公共區塊鏈。這些允許敏感資料儲存在私有覆蓋網路中，同時連結回公共鏈上資料的加密雜湊值。透過這種方式，監管機構可以驗證專用網路中的資料自創建以來沒有被更改。因此，我們擁有一條不可變的證據線索，敏感資料遠離窺探，但直接連結到無法竄改的公共記錄。

Applied to the development of AI models, this would allow for data about the scientists and engineers, as well as any intellectual property and other confidential information about the models themselves, to be kept private while linking them back to a time-stamped record on a public, immutable blockchain that verifies what the sequestered data says.

應用於人工智慧模型的開發時，這將允許有關科學家和工程師的數據以及有關模型本身的任何知識產權和其他機密資訊保持私密，同時將它們連結回帶有時間戳的記錄。的區塊鏈，用於驗證隔離資料的內容。

Is this pie-in-the-sky hypothetical, or does it have any basis in reality? As a matter of fact, Sentinel Node and Trace App, both blockchain apps developed in conjunction with IBM (NYSE:IBM), are already live and utilizing precisely what is described above.

這是天上掉餡餅的假設，還是有現實根據？事實上，Sentinel Node 和 Trace App 這兩個與 IBM（NYSE：IBM）共同開發的區塊鏈應用程式已經投入使用，並且正是利用了上述內容。

It’s only with the unanticipated explosion of generative AI models that the importance of such a technology is finally being realized. Of course, for it to work, the blockchain will need to be unboundedly scalable, and policymakers worldwide will have to recognize its potential as a solution and have the political will to mandate its use.

只有隨著生成式人工智慧模型的意外爆發，這種技術的重要性才最終被認識到。當然，要使其發揮作用，區塊鏈需要具有無限的可擴展性，世界各地的政策制定者必須認識到它作為解決方案的潛力，並有政治意願來強制使用它。