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Facebook Attempts to Minimize the Importance of Fake News & Filter Bubble Problems

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“The problem with Facebook’s influence on political discourse is not limited to the dissemination of fake news. It’s also about echo chambers. The company’s algorithm chooses which updates appear higher up in users’ newsfeeds and which are buried. Humans already tend to cluster among like-minded people and seek news that confirms their biases. Facebook’s research shows that the company’s algorithm encourages this by somewhat prioritizing updates that users find comforting.”

So writes Zeynep Tufekci, an associate professor at the University of North ...

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Pursuing AI Research in a Context of Human Ethics

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The New York Times is reporting an nascent effort on the part of leading commercial companies with AI research programs, including Alphabet, Facebook, Microsoft, IBM, and Amazon, to work together in self-regulating the interactions of social and ethical considerations with AI research.

The Times report is here:

http://www.nytimes.com/2016/09/02/technology/artificial-intelligence-ethics.html?ref=technology

The big 5 are discussing a collaboration to devise a framework to insure ethical research and development efforts, as artificial intelligence and cognitive computing systems increasingly enter into and in some cases direct decision ...

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Cautionary Tales for Digital Assistant Apps

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Young human ex-question-answerer Biz Carson offers an insider’s look at human-assisted search apps and what can go wrong when developers leave humans and machines to collaborate to find the “best” answers to users’ questions. While she specifically points to Facebook’s M as a candidate for falling into some of the same negative dynamics that beset her former company (would-be search innovator ChaCha) in 2009, her experience sheds light equally well on any cognitive app being developed to provide more than ...

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