中国新声代第一季
Q2: Does explainability necessarily enhance users' trust in AI?
《中国新声代》是湖南广播电视台金鹰卡通卫视2013年度推出的大型儿童歌唱类节目。也是经过广电总局特别批准的国内唯一一档能在周六黄金档播出的大型歌唱类节目。节目于3月21日“世界儿歌日”启动报名,主要面向14岁以下青少年儿童、直面中国孩子 “无歌可唱”、无属于自己的歌可唱的社会困境,倡导正能量的音乐表达、对经典曲目进行时尚改编、启动“新儿歌”全新创作等手段,以合唱、轮唱、竞唱等多元化的呈现方式,深度挖掘孩子的音乐才华、寻找最具时代感的好童声
Translation
The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
2013 音乐,综艺 更新: 2021-06-03 14:48:18
Draw inferences
Q2: Does explainability necessarily enhance users' trust in AI?
《中国新声代》是湖南广播电视台金鹰卡通卫视2013年度推出的大型儿童歌唱类节目。也是经过广电总局特别批准的国内唯一一档能在周六黄金档播出的大型歌唱类节目。节目于3月21日“世界儿歌日”启动报名,主要面向14岁以下青少年儿童、直面中国孩子 “无歌可唱”、无属于自己的歌可唱的社会困境,倡导正能量的音乐表达、对经典曲目进行时尚改编、启动“新儿歌”全新创作等手段,以合唱、轮唱、竞唱等多元化的呈现方式,深度挖掘孩子的音乐才华、寻找最具时代感的好童声
thesis
outcome
The results show that feedback has a more significant impact on improving users' trust in AI than explainability, but this enhanced trust does not lead to a corresponding performance improvement. Further exploration suggests that feedback induces users to over-trust (i.e., accept the AI's suggestions when it is wrong) or distrust (ignore the AI's suggestions when it is correct), which may negate the benefits of increased trust, leading to a "trust-performance paradox". The researchers call for future research to focus on how to design strategies to ensure that explanations foster appropriate trust to improve the efficiency of human-robot collaboration.
The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
2013 音乐,综艺
主演: 陈明,杨宗纬,陈羽凡,胡海泉,小燕子

《中国新声代》是湖南广播电视台金鹰卡通卫视2013年度推出的大型儿童歌唱类节目。也是经过广电总局特别批准的国内唯一一档能在周六黄金档播出的大型歌唱类节目。节目于3月21日“世界儿歌日”启动报名,主要面向14岁以下青少年儿童、直面中国孩子 “无歌可唱”、无属于自己的歌可唱的社会困境,倡导正能量的音乐表达、对经典曲目进行时尚改编、启动“新儿歌”全新创作等手段,以合唱、轮唱、竞唱等多元化的呈现方式,深度挖掘孩子的音乐才华、寻找最具时代感的好童声

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A3: The study found that the feedback of the results can improve the accuracy of the user's predictions (reducing the absolute error), thereby improving the performance of working with AI. However, interpretability does not have as much impact on user task performance as it does on trust. This may mean that we should pay more attention to how to effectively use feedback mechanisms to improve the usefulness and effectiveness of AI-assisted decision-making.

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