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Markus Buehler on knowledge graphs for scientific discovery, isomorphic mappings, hypothesis generation, and graph reasoning
amplifyingcognition.com

“If you read 1,000 papers and build a powerful representation, humans can interrogate, mine, ask questions, and even get the system to generate new hypotheses...What you will learnAccelerating scientific discovery with generative knowledge extractionUnderstanding ontological knowledge graphs and their creationTransforming information into knowledg…

For the good of humanity, AI needs to know when it's incompetent | WIRED UK
www.wired.co.uk
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AI doesn't inherently understand its own competency. If a human worker needs help, they can ask for it — but how do you build an understanding of personal limitations into code? ... forecast when it's going to reach a situation where it has no experience... it gently taps the human on the shoulder... to take control... while we can delegate decisi…

14/06/2019
Opinion | How to Monitor Fake News - The New York Times
mobile.nytimes.com
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Facebook and Twitter... algorithms ... are off limits ... almost impossible to monitor... make millions of what amount to editorial decisions, pumping out content without anyone fully understanding what is happening... opaque and slow to be discovered... government should require social media platforms ... open application programming interface.…

Is “Murder by Machine Learning” the New “Death by PowerPoint”?
hbr.org
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“death by PowerPoint,”... sucks the life and energy out of ... meetings... spreadsheets rife with errors and macro miscalculations. Email and chat facilitate ... inbox overload ... So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? ... …

What we talk about when we talk about fair AI – BBC News Labs – Medium
medium.com
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Over the coming years, we’ll see the BBC develop and roll-out more and more machine learning algorithms for storing, retrieving, tagging and possibly even creating content.... What if we lock our audiences in to what they just want to hear, never challenging them? ... Should the algorithms we use be open to public scrutiny?... inform our own thin…

The Dark Secret at the Heart of AI - MIT Technology Review
www.technologyreview.com
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there is no obvious way to design such a system so that it could always explain why it did what it did... How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? ... a journey to the bleeding edge of research on AI algorithms... including a meeting with one of the great philosopher…

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