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受访者对不同领域基于机器学习的决策表达不同程度的满意度
受访者对不同领域基于机器学习的决策表达不同程度的满意度
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ACCA：机器学习：科学向左科幻向右（48页）.pdf
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图65：不同国籍受访者对英国游戏行业的总体态度
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行业数据
2026-07-21
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图64：不同国籍受访者在当前工作场所及英国游戏行业中，对提出关切和不恰当行为的总体态度与态度
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行业数据
2026-07-21
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图6：丨按国家划分的使用各AI工具的受访者比例(渗透率，%)
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行业数据
2026-07-21
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女性受访者在500-2000元区间占比44.3%，
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行业数据
2026-07-08
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一半的受访者不相信最惠国药品定
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行业数据
2026-06-25
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一半受访者同意最惠国药品定价将大幅
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行业数据
2026-06-25
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图13科研管理部门受访者认为未来五年人工智能最具价值的
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行业数据
2026-04-30
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图17科研管理部门受访者认为美国政府对基金资助的干预措施对其所在机构
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行业数据
2026-04-30
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图7科研管理部门受访者认为未来五年
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行业数据
2026-04-30
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图12科研管理部门受访者使用人工智能的主要工作领域
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行业数据
2026-04-30
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图1高校科研管理部门受访者的地区分布
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行业数据
2026-04-30
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研管理部门受访者认为所在机构在争取基金资助方面面临的最大挑战
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行业数据
2026-04-30
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我们为科研管理部门的受访者提供了机会，邀请他们分享影响其工作的主要问题。以下是部分反馈：
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2026-04-30
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图4科研管理部门受访者的学术研究优先事项
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2026-04-30
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图16科研管理部门受访者认为对科研诚信构成最大风险的因素
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2026-04-30
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调查发现,有大约五分之二的受访者在积极参与探索机器学习的应用(参见图3.1)。他们所涉及的进展范围从探讨概念的早期讨论一直延伸到在完全运行模式下处理实时数据。
受访者对不同领域基于机器学习的决策表达了不同程度的满意度(参见图3.2),这些领域包括分类(53%)、测量(47%)、审计测试(43%)和舞弊检测(41%)。然而,在医疗数据或个人财务等某些更广泛的应用领域,受访者的满意度却较低。
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