Root pretends to be
produced by the qubit of the concave temple | public account QbitAI
When you go to Gongti with great anticipation, prepare to watch a battle between Beijing Guoan and Guizhou Hengfeng.
On the way, you receive a text message inviting you to "predict" the outcome of the match. Even the sidebar of the opened web page is filled with advertisements for betting.
You don't know, the bookies have already been eyeing you.
Now, bookmakers are already using AI to locate people in real time. Once it is detected that a user is watching a sporting event, advertisements for betting on the game are pushed in various ways.
Every click of a user, every page view, dwell time, every transaction is monitored. This is not to improve the user experience, but to find ways to increase revenue.
Asif, a digital marketer who has worked for a bookmaker, said. "In this industry, AI is used to create user portraits. After knowing the user's preferences, it models behavioral laws to facilitate prediction and influence future behaviors."
For the public, the top executives of the gaming company will explain that users receive these advertisements because the algorithm is constantly optimizing, so the results will be more and more accurate.
Privately, however, they admit to bombarding particularly high-rollers with wagering ads that challenge their defenses of self-control.
You might ask, "When was our data given out? Is it legal to do so?"
Now many apps will pop up a small window "xx wants to use your xx information, do you agree" before using it.
Many times, users are anxious to use the corresponding service, and most of them don't think about it, and click "Agree" directly. It is at this point that you "give consent" to the legitimate use of your data by third parties.
After the gaming industry has bought user data from third-party data companies, it mines and targets potential low-income gamblers.
Once the target user is hooked, the information flow of the betting web page presented is all formulated according to the personal portrait. This has become a huge system. What information is displayed to users is backed by a large amount of data. Don't forget that there are also behavioral prediction models, which also affect the way web pages are rendered.
"Doing this in the gaming industry will drag people into the abyss of desire. Once people become addicted to gambling, they will definitely have a great negative impact on society, especially their personal families."
Sociologists vehemently condemned the practice as a bloodthirsty business like parasites.
Unfortunately, in the face of this unwritten rule, regulations always lag behind the development of technology.
虽然前段时间Facebook数据泄露丑闻，重新聚焦了大众对自身数据安全的关注。可是目前国内依然缺乏相应的法规约束第三方数据公司。
现在全球仅有的数据保护相关的法律，有两个。
一个是20年前的《1998年数据保护法案》，由英国信息委员办公室（The Information Commissioner’s Office）制定。
另外一个为欧盟提议的《一般数据保护条例（简称GDPR）》，即将于5月25号生效。
这两个法案都要求，用户对自己的数据有知情权。数据搜集第三方公司需要明确告知用户，个人数据会被如何使用。
“GDPR进一步保障了用户的数据权益，要求数据搜集组织给用户提供数据处理的合法依据，声明数据储存周期以及数据购买方的相关信息。”英国信息委员办公室的发言人对最新的数据保护条例作出评价。
不过，法案推出是一回事。数据使用第三方怎么做，是另外一回事。
英国博彩业在2016年的营收就高达到140亿英镑。其中45亿都来自线上下注。这无疑进一步刺激了行业加大AI技术研发力度，开发出更精准有效的算法，挖掘出那些极有可能会对赌博上瘾的人，一步步下套诱惑越来越多的人参与赌博。
“大数据被这么用，实在是令人心寒。博彩业都钻钱眼里去了，专门针对意志力薄弱的人下手。”
英国“公正博彩”运动的发言人说，“指望他们有社会责任感，会遵守法规使用用户数据，那是太傻太天真。”
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