What personal data we collect and why we collect it
Comments
When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
Media
If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
Contact forms
Cookies
If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Embedded content from other websites
Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
Analytics
Who we share your data with
How long we retain your data
If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
What rights you have over your data
If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Where we send your data
Visitor comments may be checked through an automated spam detection service.
Your contact information
Additional information
How we protect your data
What data breach procedures we have in place
What third parties we receive data from
What automated decision making and/or profiling we do with user data
瑞士百達資產管理，回顧 2023 年至今的生成式 AI 發展，指出對機器人科技、數位科技與保安等領域具有影響力的關鍵因素。瑞士百達資產管理表示，自去年年底發布 ChatGPT 以來，生成式 AI 的使用率呈指數級成長。因此受惠的企業如微軟（Microsoft）、Alphabet、Meta 和亞馬遜（Amazon）等大型雲端服務供應商，由於專注於記憶、儲存和流程自動化，當AI技術能做到越來越多，雲端巨頭就越能創造價值。
具有專業知識的垂直領域生成式 AI 模型有巨大的發展潛力， 例如彭博發布了專門研究金融數據的 BloombergGPT，未來垂直領域專家將在特定領域，建立起專屬的品牌資產。AI 專用晶片製造商，將分享生成式 AI 創造的價值。雖然輝達（Nvidia）已成為該領域的領導者，但市場仍在擴張，足以允許多個老牌廠商共存。 此外，高度專業化的晶片製造商也可能獲得搶占 AI 市場。
瑞士百達資產管理表示，生成式 AI 擴大了假訊息的傳播範圍，同時提供了篩選訊息的新工具。「深度偽造」（ Deep-Fake）的簡易性，使訊息驗證帶來巨大挑戰，特別是假影音、假新聞等，大眾辨別真實和虛假的認知界線模糊。
首先仰賴科技公司的自我克制，許多大型企業已經宣布各種道德 AI 倡議。然而，這種自我施加的限制，很可能會因競爭壓力抵消；其次是監管、立法、技術限制：考慮到創新和採用的速度，監管遠遠落後，而且效力有限；最後則是保安服務崛起，出現新的安全服務市場，以驗證AI模型的輸出，以及需要新方法驗證人類身份。
鑑於職場與社會上有關心理健康的重視程度不斷增加，使用 AI 的醫療健康解決方案潛力巨大，預計到 2030 年將達到 2080 億美元。
百達投顧表示，美國民調機構皮尤研究中心（Pew Research Center）的調查顯示，如果醫療健康產業依賴AI進行醫療護理，60%的美國人會感到不舒服，只有38%的人認為這會帶來更好的健康結果，75%的人擔心醫療保健產業會快速採用該技術。在心理健康方面，79%的人不希望聊天機器人幫忙。46%的美國成年人表示，AI聊天機器人只應由患者使用，而另外28%的人則表示根本不應該向大眾開放。
因此，雖然隨著時間的推移，患者可能會更加習慣與聊天機器人交流，但在短期內仍有不少困難。與人類治療師相比，聊天機器人解讀情緒和肢體、表情等非語言訊息的能力更加有限， 哈佛商學院最近的一項研究發現，從心理健康的角度來看，伴侶 AI 聊天機器人仍存在許多缺點。
百達投顧表示，AI 應用的主題成為當前推動機器人科技的關鍵，包含資料庫搜尋公司 Elastic 在新產品增強人工智慧技術，以及納入生成式 AI；百度在香港、日本等地推出 AI 社交產品，宣稱可緩解壓力，改善健康。百達投顧表示，看好相關族群的未來獲利成長潛力，而本益比目前僅處在長期平均值水準，並不昂貴。不妨透過百達-機器人科技（基金之配息來源可能為本金）參與相關商機。
