你的谈话，居然被人收集了！
在信息数字经济的时代，作为个体的我们需要思考：
个人拥有哪些数据资产？
个人的数据资产到底有多大价值？
个人的数据资产为何无法直接获得盈利？
企业如何用大量个人的数据进行盈利？
企业为何不将盈利共享给个人？
人工智能时代的“石油”：语音数据
2017年全球人工智能行业市场规模已突破1万亿。目前，语音识别是人工智能大行业中商用发展最迅速的分支。语音数据主要应用在语音识别、语音合成、情感识别、声纹识别等多个领域，如智能音箱、智能机器人、车载语音系统、智能手表、手机语音助手等。这是一个超过百亿美金的巨大市场，并且每年以超过20%的速度在增长。
目前的人工智能技术与人工智能产品，尚未达到真正意义上的智能，仍需要由人类提供大量的数据，进行学习和训练。因此，数据是人工智能产业的关键动力，可谓是信息时代的“数字石油”，没有数据人工智能产业几乎是无法前进。
全球科技巨头：大量收集语音数据资源
目前，诸如谷歌、亚马逊、苹果、微软，以及中国的科大讯飞、与腾讯，重点布局语音识别行业，无论他们的用户知情与否，他们都在广泛收集世界各国用户的语音数据。
亚马逊每个小时都会将Alexa收到的海量语音请求，并上传到庞大的数据库。
苹果Siri语音助手则是通过全球用户手机端，将用户的语音请求数据收入。
微软已经在多地建设了专门的部门，录制志愿者在家居环境中的对话内容。
腾讯的微信社交软件，每天都将用户语音聊天所产生的海量语音数据进行收集，包括中国各个地方的方言、各地口音普通话等等。
数据垄断：个人无法获得数据回报
由于单个个体数据不成规模，无法直接卖出变现。科技巨头通过收集并垄断大量用户的语音数据，便能实现数据价值的收入与盈利。但巨头却从未向贡献这些数据的个体们，共享过任何收入与盈利。
不仅如此，作为个体也并不知情这些数据何时被收集，流向何处，被用以何种用途，面临着严峻的数据隐私问题。如今年美国知名社交软件公司脸书(Facebook)就爆发了严重的数据泄露事件和公众信任危机，这就是对公民信息安全的一种重大威胁。
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