图 书 馆
良好的数据Data for good |
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| 课程网址: | http://videolectures.net/kdd2018_wing_data_for_good/ |
| 主讲教师: | Jeannette M. Wing |
| 开课单位: | 哥伦比亚大学数据科学研究所 |
| 开课时间: | 2018-09-24 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | I use the tagline “Data for Good” to state paronomastically how we as a community should be promoting data science, especially in training future generations of data scientists. First, we should use data science for the good of humanity and society. Data science should be used to better people’s lives. Data science should be used to improve relationships among people, organizations, and institutions. Data science, in collaboration with other disciplines, should be used to help tackle societal grand challenges such as climate change, education, energy, environment, healthcare, inequality, and social justice. Second, we should use data in a good manner. The acronym FATES suggests what “good” means. Fairness means that the models we build are used to make unbiased decisions or predictions. Accountability means to determine and assign responsibility—to someone or to something—for a judgment made by a machine. Transparency means being open and clear to the end user about how an outcome, e.g., a classification, a decision, or a prediction, is made. Ethics for data science means paying attention to both the ethical and privacy-preserving collection and use of data as well as the ethical decisions that the automated systems we build will make. Safety and security (yes, two words for one “S”) means ensuring that the systems we build are safe (do no harm) and secure (guard against malicious behavior). |
| 关 键 词: | 数据向善; 如何促进数据科学; 公正的决策或预测; 如何促进数据科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-23：cyh |
| 最后编审: | 2023-03-23：cyh |
| 阅读次数: | 31 |