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Archive for 19. Oktober 2019

How Technology Will Revolutionize Public Trust

Posted by hkarner - 19. Oktober 2019

Date: 18-10-2019
Source: The Wall Street Journal By M. Todd Henderson

Though Americans increasingly distrust their institutions, digital platforms are spurring them to rely on one another like never before

Trust in major institutions seems to be collapsing in America in the era of “fake news,” Russian bots on Facebook and tribal politics. A recent Pew Research Center poll found that about seven in 10 Americans say that trust in society—in government, in each other—is declining. And more than four in 10 Americans think that declining trust is “a very big problem.”

The stakes are high. Research shows a strong correlation between trust and the wealth of a society. Trust enables cooperation, cooperation enables specialization, and specialization drives productivity.

Fortunately, indicators of declining trust miss a deeper reality: While Americans may increasingly distrust many of their institutions, technology is enabling certain kinds of trust at levels seldom before seen in human history. Den Rest des Beitrags lesen »

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Human-machine interface

Posted by hkarner - 19. Oktober 2019

Date: 17-10-2019
Source: The Economist

Data-labelling startups want to help improve corporate AI

A clutch of firms is generating the feedstock for machine-learning algorithms: tagged data

Corporate boards are besotted with artificial intelligence. Worldwide spending on ai is expected to rise from $38bn this year to $98bn by 2023, estimates idc, a research firm. So far, though, only one in five companies aware of the technology’s potential has incorporated machine learning into its core business. One reason for the slow uptake is the dearth of quality data to teach algorithms to perform useful tasks. The most common form of ai, called “supervised learning”, requires feeding software stacks of pre-tagged examples of, say, cat pictures until it can tell a feline image apart by itself. Data-labelling is the sort of grunt work that corporate ai-users would prefer someone else to do for them. An industry is popping up to help.

The market for data-labelling services may triple to $5bn by 2023, reckons Astasia Myers of Redpoint Ventures, a venture-capital firm. Some outfits, like Mechanical Turk (owned by Amazon, an e-commerce giant), act as middlemen connecting freelancers ready to perform all manner of “micro-tasks”, of which things like tagging pictures is one example, with taskmasters. Other firms specialise. Hive has turned data-labelling into something “like playing Candy Crush”, explains its boss, Kevin Guo, referring to a hit tile-matching game. Its mobile app makes it easy for users to identify objects, earning money instead of points. Its 1.5m players across the world serve more than 100 corporate customers. Den Rest des Beitrags lesen »

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A Nobel economics prize goes to pioneers in understanding poverty

Posted by hkarner - 19. Oktober 2019

Date: 17-10-2019
Source: The Economist: Free exchange

Randomised trials help policymakers grasp which policies work and which don’t

The most important question in economics is also the hardest: why do some countries stay poor while others grow rich? In 2015, 10% of the world’s population lived on less than $1.90 per day, down from 36% in 1990. But more than 700m people remain in extreme poverty, and the number grows every day in certain parts of the world, in particular sub-Saharan Africa. For their contributions to understanding gaps in development, the better to close them, Abhijit Banerjee, Esther Duflo and Michael Kremer have been awarded this year’s Nobel prize for economics. All three are Americans, though Mr Banerjee and Ms Duflo are immigrants (and married to each other). Ms Duflo is only the second woman to have received the prize and, at 46, the youngest winner ever. Den Rest des Beitrags lesen »

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