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【演講公告】Leveraging Machine Learning to Improve Human Decision Making – 美國華盛頓大學資工系 何建儒教授

講題:Leveraging Machine Learning to Improve Human Decision Making

講者:美國聖路易斯華盛頓大學資工系助理教授 何建儒

時間:2023.03.29 () 14:00-15:00

地點:長庚大學人工智慧研究中心(管理大樓11樓) 

線上連結:http://shorturl.at/zEMR4

講者介紹:

Chien-Ju Ho是聖路易斯華盛頓大學計算機科學與工程系的助理教授。在此之前,他是康奈爾大學的博士後助理。他於2015年在加州大學洛杉磯分校獲得計算機科學博士學位,並於2012年至2015年在哈佛大學EconCS小組做了三年的訪問。他是2015年加州大學洛杉磯分校谷歌傑出研究生研究獎的獲得者。他的工作被提名為WWW 2015和HCOMP 2021的最佳論文獎。他的研究廣泛連接到機器學習、優化、行為科學和算法經濟學等領域。他對研究人類和人工智能之間的互動感興趣,包括使人工智能算法向人類學習(例如,在眾包的背景下)和設計人工智能算法來協助人類決策(例如,通過信息設計和環境設計)。

About the Speaker:

Chien-Ju Ho is an assistant professor in Computer Science & Engineering at Washington University in St. Louis. Previously, he was a postdoctoral associate at Cornell University. He earned his PhD in Computer Science from the University of California, Los Angeles in 2015 and spent three years visiting the EconCS group at Harvard from 2012 to 2015. He is the recipient of the Google Outstanding Graduate Research Award at UCLA in 2015. His work was nominated for Best Paper Award at WWW 2015 and HCOMP 2021. His research broadly connects to the fields of machine learning, optimization, behavioral sciences, and algorithmic economics. He is interested in investigating the interactions between humans and AI, including enabling AI algorithms to learn from humans (e.g., in the context of crowdsourcing) and designing AI algorithms to assist human decision-making (e.g., through information design and environment design).

演講大綱:

機器學習(ML)在過去十年中獲得了重大進展。隨著預測能力的提高,ML已經越來越多地參與到我們日常生活的決策中。同時,由於啟發式方法和偏見(我們用來做出快速但不理想的決定的心理捷徑),人類經常做出次優的決定。在這次演講中,我將討論我最近在利用機器學習來改善人類決策方面的一些工作,通過更新決策環境或設計或設計信息來展示給人類決策者。

Talk Abstract:

Machine learning (ML) has gained significant progress in the past decade. With the improving predictive power, ML has been increasingly involved in decision making in our daily life. In the meantime, humans are known to often make suboptimal decisions due to heuristics and biases (mental shortcuts we use to make quick but suboptimal decisions). In this talk, I'll discuss some of my recent works in leveraging machine learning to improve human decision making, through updating the decision making environment or designing or designing information to show to human decision makers.

 

 

主辦單位:智慧運算學院、人工智慧研究中心

※本活動無需報名。

 

 

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