算法偏见
Search documents
警惕Deepfake!国安部提示→
Xin Lang Cai Jing· 2025-12-27 16:36
安平/"国家安全部"微信公号 初中教师小李自从使用AI备课后,能在五分钟内生成一份生动有趣的教案,包括图片、视频和互动问 答。"以前备课要两小时,现在可以省下更多时间关注学生个人情况,还能一对一定制专属练习题。" 某独居老人陈爷爷,通过子女赠送的智能音箱,找到了新乐趣。"小智不仅能陪我听戏、聊天,还会在 我忘记吃药时主动提醒,它居然还记住了我所有孙辈的生日。" 29岁的小王原本是文案策划,因擅长与AI"对话",现已成功转型为提示词工程师。"关键是要把指令说 得足够清晰。"从智能客服到AI绘图师,大模型正创造着一个个前所未见的新岗位。 向某同一个AI提问历史问题时,发现英文回复会刻意回避、淡化某些史实,甚至会给出包含错误历史 信息的内容,引发重大歧误,而中文回复则相对客观。 安全守则 给"数字伙伴"的三条守则 ——守则一:划定"活动范围"。做到"权限最小化",联网AI不处理涉密数据、语音AI不收集环境语音、 智能助手不保存支付密码,关闭"数据共享""云空间"等不必要的访问权限。 ——守则二:检查"数字足迹"。养成定期清理AI聊天记录、修改AI工具密码、更新防病毒软件、查看账 号登录设备等习惯。同时避免随意下载使 ...
国安部:违规使用开源AI,敏感资料被境外IP非法访问下载
Xin Lang Cai Jing· 2025-12-26 02:21
据国家安全部微信公众号12月26日消息,当前,AI大模型加速赋能千行百业,推动人们生活日新月 异,这位能干又贴心的"数字伙伴"正加速融入我们日常生活。然而每一次技术跃迁必然伴随着新的挑 战,当AI的触角延伸越广、嵌入越深,随之而来也暴露出数据隐私、算法偏见等潜在风险,亟需我们 构筑安全防线,助推这场深刻的智能变革,安全赋能美好未来。 高速发展背后的"暗礁" 守则一:划定"活动范围"。做到"权限最小化",联网AI不处理涉密数据、语音AI不收集环境语音、智能 助手不保存支付密码,关闭"数据共享""云空间"等不必要的访问权限。 守则二:检查"数字足迹"。养成定期清理AI聊天记录、修改AI工具密码、更新防病毒软件、查看账号登 录设备等习惯。同时避免随意下载使用来源不明的大模型程序,对提供身份证、银行账户或其他敏感信 息的要求保持警惕。 守则三:优化"人机协作"。向AI提问时,在提示词中明确禁止AI过度推演,并要求AI显示来源或思考 过程,对重要信息进行跨平台验证,合理辨别AI生成结果,特别是涉及政治、历史、意识形态等话题 时,要具备独立思考意识,辩证看待AI的回答,避免陷入"AI幻觉"。 国家安全机关提示 安全是发展 ...
国家安全部:某境外反华敌对势力通过深度伪造技术生成虚假视频,并企图向境内传播,以误导舆论、制造恐慌
Xin Lang Cai Jing· 2025-12-25 23:32
高速发展背后的"暗礁" ——数据隐私与安全边界模糊。个别单位因直接使用开源框架建立联网大模型,导致攻击者未经授权即 可自由访问内部网络,从而引发数据泄露和安全风险。据公开案例显示,某单位工作人员在处理内部文 件时,违规使用开源AI工具,由于电脑系统默认开启公网访问且未设密码,导致敏感资料被境外IP非法 访问和下载。 ——技术滥用与虚假信息产生。利用AI的深度学习算法进行自动化的数据处理,实现图片、音频及视 频的智能模拟和伪造,这种技术被称为深度伪造(Deepfake)。一旦该技术被滥用或恶意使用,将给个 人合法权益、社会稳定甚至国家安全带来诸多风险和挑战。国家安全机关工作发现,某境外反华敌对势 力通过深度伪造技术生成虚假视频,并企图向境内传播,以误导舆论、制造恐慌,对我国家安全构成威 胁。 本文转自【国家安全部微信公众号】; 一份给您的"智能生活安全说明书" 初中教师小李自从使用AI备课后,能在五分钟内生成一份生动有趣的教案,包括图片、视频和互动问 答。"以前备课要两小时,现在可以省下更多时间关注学生个人情况,还能一对一定制专属练习题。" 某独居老人陈爷爷,通过子女赠送的智能音箱,找到了新乐趣。"小智不仅能陪 ...
国家安全机关提示:使用智能设备,牢记这三条守则
Xin Lang Cai Jing· 2025-12-25 23:32
转自:北京日报客户端 初中教师小李自从使用AI备课后,能在五分钟内生成一份生动有趣的教案,包括图片、视频和互动问 答。"以前备课要两小时,现在可以省下更多时间关注学生个人情况,还能一对一定制专属练习题。" 某独居老人陈爷爷,通过子女赠送的智能音箱,找到了新乐趣。"小智不仅能陪我听戏、聊天,还会在 我忘记吃药时主动提醒,它居然还记住了我所有孙辈的生日。" 29岁的小王原本是文案策划,因擅长与AI"对话",现已成功转型为提示词工程师。"关键是要把指令说 得足够清晰。"从智能客服到AI绘图师,大模型正创造着一个个前所未见的新岗位。 当前,AI大模型加速赋能千行百业,推动人们生活日新月异,这位能干又贴心的"数字伙伴"正加速融入 我们日常生活。然而每一次技术跃迁必然伴随着新的挑战,当AI的触角延伸越广、嵌入越深,随之而 来也暴露出数据隐私、算法偏见等潜在风险,亟需我们构筑安全防线,助推这场深刻的智能变革,安全 赋能美好未来。 高速发展背后的"暗礁" ——数据隐私与安全边界模糊。个别单位因直接使用开源框架建立联网大模型,导致攻击者未经授权即 可自由访问内部网络,从而引发数据泄露和安全风险。据公开案例显示,某单位工作人员在 ...
国家安全部:一份给您的“智能生活安全说明书”
Yang Shi Wang· 2025-12-25 23:00
央视网消息:据国家安全部公众号消息,初中教师小李自从使用AI备课后,能在五分钟内生成一份生动有趣的教案,包括图片、视频和互动问答。"以前备 课要两小时,现在可以省下更多时间关注学生个人情况,还能一对一定制专属练习题。" 某独居老人陈爷爷,通过子女赠送的智能音箱,找到了新乐趣。"小智不仅能陪我听戏、聊天,还会在我忘记吃药时主动提醒,它居然还记住了我所有孙辈 的生日。" ——算法偏见与决策"黑箱"。AI的判断源于其所学习的资料,若训练数据本身存在社会偏见或代表性不足等问题,大模型便可能放大歧视。测试显示,某 些AI会系统性偏向西方视角。当研究人员用中英文向某同一个AI提问历史问题时,发现英文回复会刻意回避、淡化某些史实,甚至会给出包含错误历史信 息的内容,引发重大歧误,而中文回复则相对客观。 安全守则:给"数字伙伴"的三条守则 ——守则一:划定"活动范围"。做到"权限最小化",联网AI不处理涉密数据、语音AI不收集环境语音、智能助手不保存支付密码,关闭"数据共享""云空 间"等不必要的访问权限。 ——守则二:检查"数字足迹"。养成定期清理AI聊天记录、修改AI工具密码、更新防病毒软件、查看账号登录设备等习惯。同时 ...
关联互通,创见不同:全球银行业可持续披露观察(上)
Sou Hu Cai Jing· 2025-07-03 06:12
Core Insights - The importance of providing interconnected and focused statements in sustainable disclosures is increasing as banks expand their sustainability-related disclosures [3][5][29] - Understanding and comparing banks' ESG performance is becoming a challenge due to the richness of disclosed sustainable information [3][5] - The study covers 33 major global banks and analyzes their climate and sustainability-related disclosures for the 2024 reporting cycle [1][5] Disclosure Timeliness - 73% of major global banks published their annual and sustainability reports simultaneously in 2023, up from 43% in the previous year [6] - All 20 domestic systemically important banks in China have achieved synchronized publication of sustainability-related reports with their annual reports [6] Disclosure Content - Banks are focusing their disclosures on climate change, customer, and employee-related themes, which have clearer requirements and more complete data [3][6] - There is a lack of detailed disclosures on biodiversity and other themes, often due to limited data availability or perceived lower importance [3][6][26] Reporting Standards and Frameworks - Many global banks are adopting various reporting standards and frameworks, with 23% referencing the TNFD framework for nature-related disclosures in 2024 [15][18] - Domestic banks are widely referencing the sustainable disclosure guidelines from major Chinese stock exchanges and the GRI standards [15][18] Importance and Information Reiteration - 27% of global banks reference the EU's Corporate Sustainability Reporting Directive for double materiality analysis, while 55% of domestic banks have conducted such analyses [18][20] - 61% of global banks have restated their previous year's financing emissions data, indicating evolving methodologies [20] Areas for Improvement - Banks need to enhance disclosures on water and marine resources, biodiversity, and tax transparency, as current disclosures are often limited [26][29] - There is a call for banks to actively manage their operations and value chains while aligning business and social value through meaningful sustainability practices [26][29] Future Research Directions - KPMG plans to further analyze eight key sustainable themes under the environmental, social, and governance pillars, including sustainable financing and social impact assessment [27]
是时候打破算法偏见了
2 1 Shi Ji Jing Ji Bao Dao· 2025-05-22 16:51
Core Viewpoint - The article discusses the "Clear and Bright" initiative by China's Cyberspace Administration aimed at addressing algorithm-related issues such as the promotion of vulgar content, the creation of "information cocoons," and the polarization of viewpoints through algorithmic recommendations [1][2]. Group 1: Algorithm Governance - The initiative emphasizes the need for major platforms like Douyin and Xiaohongshu to optimize their recommendation algorithms to promote positive content, ensure user choice, enhance content diversity, and improve algorithm transparency [1][2]. - The goal is to transform algorithms from amplifiers of bias into tools for efficiency, thereby reducing user anxiety and fostering a healthier content platform ecosystem [1][3]. Group 2: Misunderstanding of Algorithms - There is a prevalent misunderstanding regarding algorithms, with many believing they only serve to reinforce users' existing preferences and viewpoints, leading to increased polarization and division [2][3]. - The article highlights that the creation of "information cocoons" is not solely a flaw of the algorithms but rather a complex issue influenced by various factors, including user behavior and data representation [2]. Group 3: User Participation and Collaboration - The resolution of "information cocoons" requires not only technological and policy interventions but also active user participation and collaborative efforts from society as a whole [3]. - The article suggests that rather than blaming algorithms for biases, there should be a focus on how to better utilize algorithms to meet human needs [3][4]. Group 4: Embracing Technology - The current situation calls for an open mindset towards technology while maintaining a rigorous and professional approach to its application, enabling innovation and transformation that benefits everyone [4].