AI programs author news coverage across public and social media, many of them presented in the forms of news feeds based on the reader's location and personal preference. According to Arun Vishwanath, a Harvard University professor, “we will be presented with the version of the news we wish to read -- not the news that some reporter, columnist or editorial board decides we need to read. And it will be entirely written by artificial intelligence (AI).” The imposition of robot news becomes even more imposing because mindless readers tend to trust those news feeds on Facebook and Google News more than the credible, accountable, validated news sources, which also employ machine-learning algorithms to match us with news and ads.
As a result of the manipulation or imposition of what happens in the world, news reports will be influenced or directed by AI to formulate varied arguments and conclusions based on published opinions, not real facts. People’s social media data, online shopping and browsing history will drive AI to present them with the news they would like to read. With such interference, a person’s bias and ideology will be further reinforced and fortified to the extent that one may wonder whether individual journalism or independent perception of realities will be even possible.
For example, for a reader with strong views on gun control, news of gun violence and casualty might be presented from a certain standpoint where easy access of assault weapons leads to conclusions about how all purchase of guns can hurt the society. It will be a different story for another who seeks to preserve the Second Amendment rights of the people to keep and bear arms as part of the first ten amendments contained in the Bill of Rights. Other issues rather than gun regulations, such as mental healthcare or home environments, will be presented with data and conclusions questioning the validity of banning guns.
When the personalized, AI-driven reality is the only reality people experience, Professor Vishwanath worries that it will only project a “win-win for marketers, advertisers and readers -- but a giant loss for democracy as we know it, because it will take away the core of what makes democracies successful: well-informed citizens, who form opinions not by simply reading articles they agree with, but by examining that which they don't agree with -- and then finding common ground.” All this benefits the advertisers and marketing companies, placing ads on the AI news feeds and web pages. To divert from that result, policy-makers must proactively prevent AI domination, limiting the extent to which algorithms access data, whereas the media should use self-regulation, implement valid journalism, and provide varied versions of news content. Most importantly, readers need to read/think critically, and seek information that is both agreeable and disagreeable, from online and offline formats, and thus formulate more informed views.
AI （Artificial Intelligence人工智能）程式在公共和社会媒体提交新闻报道，根据读者所在地理位置和个人喜好而呈现各种形式的新闻来迎合其胃口。 Arun Vishwanath ，一位哈佛大学的教授，针对此种操纵新闻的现象指出：“我们所阅读的新闻是符合本身意念的资料 -- 而不是真实的、由记者、专栏作家或编辑委员会决定人们需要阅读的消息。 此种资料将完全由人工智能实行机械分析运算程式而定制。”由于一般读者往往信任 Facebook 和 Google 新闻、而非负责任的、经过验证的新闻来源，人工智能将操纵并匹配我们所得的新闻和广告。