蛋播视频一区,无码鲁丝一区二区,精品 久久 五月天,国产老熟女,五月草草在线观看,中文日韩欧美,情色一区二区三区,欧美日韩亚洲激情在线,亚洲制服在线香蕉

報(bào)告題目：A Field Experiment on AI-Assisted Physicians

報(bào) 告 人：譚寅亮 休斯頓大學(xué)

報(bào)告時(shí)間：2023年6月1日(周四)，10:00-11:30

報(bào)告地點(diǎn)：中國(guó)科學(xué)院大學(xué)中關(guān)村校區(qū)教學(xué)樓S406

內(nèi)容摘要

AI assistants—software agents that can perform tasks or services for individuals—are among the most promising AI applications. However, little is known about the adoption of AI assistants by service providers (i.e., physicians) in a real-world healthcare setting. Specifically, we investigate the impact of AI smartness—whether the AI assistant is empowered by machine learning intelligence—and AI transparency—whether physicians are informed of the assistant feature. We collaborate with a leading healthcare platform to run a field experiment in which we compare physicians’ adoption behavior, i.e., adoption rate and adoption timing, of smart and automated AI assistants under transparent and non-transparent conditions. We find that AI smartness can increase the adoption rate and shorten the adoption timing, while AI transparency can only shorten the adoption timing. Moreover, the impact of transparency on the adoption rate is contingent on the smartness level of the assistant: AI transparency increases the adoption rate only when the AI assistant is not equipped with smart algorithms and fails to do so when the assistant is smart. Our study can guide platforms in designing their AI strategies. In particular, platforms should develop and apply smart AI algorithms in aiding physicians, and also keep physicians informed on such development and application, especially when the smartness level of the algorithms is low.

主講人簡(jiǎn)介

譚寅亮博士是美國(guó)休斯頓大學(xué)鮑爾商學(xué)院決策和信息科學(xué)終身教授，鮑爾講席教授，以及供應(yīng)鏈管理方向系主任。他同時(shí)還擔(dān)任慧與科技數(shù)據(jù)科學(xué)研究中心 資深研究員。此前他在美國(guó)杜蘭大學(xué)弗里曼商學(xué)院管理科學(xué)方向擔(dān)任助理教授，副教授，戈德林國(guó)際教育中心行政主任，并獲得終身教授與講席教授職位。譚寅亮博士畢業(yè)于美國(guó)佛羅里達(dá)大學(xué)沃靈頓商學(xué)院，學(xué)習(xí)運(yùn)營(yíng)管理及信息系統(tǒng)。他擁有豐富的商業(yè)分析方面的教學(xué)經(jīng)驗(yàn)，獲得過弗里曼商學(xué)院年度最佳教師獎(jiǎng)。其研究興趣主要集中在數(shù)字經(jīng)濟(jì)，以及科技管理與創(chuàng)新等領(lǐng)域。他在國(guó)際頂級(jí)期刊Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management， Decision Science 等發(fā)表超過20篇論文，并獲得過國(guó)際決策科學(xué)年會(huì)的最佳論文獎(jiǎng)。譚博士現(xiàn)在擔(dān)任Production and Operations Management（國(guó)際頂級(jí)期刊）的資深編輯, Decision Sciences Journal的部門編輯, 以及Information & Management的副編輯和Information Systems Research (ISR)的編委會(huì)成員。他于2019年被評(píng)為世界最佳40名40歲以下的商學(xué)院教授, 同年他獲得了國(guó)際決策科學(xué)學(xué)會(huì)頒發(fā)的早期職業(yè)成就獎(jiǎng)。他于2022年獲得INFORMS 信息系統(tǒng)學(xué)會(huì)頒發(fā)的 Sandy Slaughter 早期職業(yè)成就獎(jiǎng)以表彰他對(duì)信息系統(tǒng)領(lǐng)域做出的貢獻(xiàn)。