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【活動】美國微軟退休校友李華生演講公告(主題:AI Ethics Guiding Principles;日期:11月6日10:30~11:30;地點:IB-302) [Speech Announcement] Microsoft Retiree Alumni, Walson Lee

【活動】美國微軟退休校友李華生演講公告(主題:AI Ethics Guiding Principles;日期:11月6日10:30~11:30;地點:IB-302)   [Speech Announcement]  Microsoft Retiree Alumni, Walson Lee圖片
【活動】美國微軟退休校友李華生演講公告(主題:AI Ethics Guiding Principles;日期:11月6日10:30~11:30;地點:IB-302) [Speech Announcement] Microsoft Retiree Alumni, Walson Lee
●演講資訊:11月6日(星期三) 10:30-11:30
●演講地點:國際大樓3樓IB-302
●演講主題:AI Ethics Guiding Principles
●講者介紹:
李華生(Walson Lee)去年從微軟退休,結束了他29年的職業生涯。在微軟任職期間,他在諮詢服務部門擔任解決方案架構師,參與了許多大型企業客戶的業務。此外,當他在微軟企業IT集團工作時,曾領導並將微軟的本地數據中心遷移到Azure雲端的工作,推動了主要的數位轉型計劃。

在退休前的幾年裡,他主要專注於為知名企業客戶(涵蓋醫療、零售和能源行業)開展複雜的人工智慧項目。李華生所負責的最後幾個工作項目是立基於生成式AI和其他機器學習模型的AI計畫,此外,他還發表了多篇內部技術文章,並在2023年贏得了一個全公司黑客松比賽的獎項。

退休後,李華生繼續研究如何構建基於生成式AI的企業解決方案的架構模式。到目前為止,他已發表了四篇與AI相關的文章,內容包括以知識為中心的設計、AI倫理——企業指導原則,以及AI倫理——架構和設計建議。

[Speech Information] Microsoft Retiree Alumni, Walson Lee
Topic: AI Ethics Guiding Principles
Time: 10:30–11:30, November 6, 2024
Location: IB-302

Walson Lee retired from Microsoft late last year after a 29-year tenure. He worked on numerous large-scale enterprise customer projects as a solution architect within Microsoft Consulting Services division. Additionally, while he was at Microsoft Enterprise IT Group, he led efforts to migrate Microsoft’s on-premises data centers to the Azure cloud and spearheading major digital transformation initiatives.

In the years leading up to his retirement, he primarily focused on complex AI projects for well-known enterprise customers in the healthcare, retail, and energy industries. His last couple of projects were AI initiatives based on generative AI and additional machine learning models. He published several internal technical articles on AI, and received an award for a companywide hackathon competition in 2023.

Since retiring, he has been continuing his research on architectural patterns for building generative AI-based enterprise solutions. As of now, he has published four articles on AI-related topics, including knowledge-centric design, AI ethics - guiding principles for enterprise, and AI ethics - architectural and design recommendations.
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