Around the World in 30 Days – July 2018
C. M. Rubin’s Global Education Report Europe has not been shy about putting Big Tech under the microscope. This month, Google hit a new record with a US$5 billion fine for trying to eliminate competition in the search field. Technology and progress in science bring with them transformative advances which offer potential solutions to some of the world’s greatest challenges. At the same time, these technologies present new issues and...
The Global Search for Education: Big Tech – Utopia Dystopia or Both?
Europe has not been shy about putting Big Tech under the microscope. This month, Google hit a new record with a US$5 billion fine for trying to eliminate competition in the search field. According to TristanHarris, “a handful of people working at a handful of tech companies steer the thoughts of billions of people every day.” And they’re all competing for our attention. Technology and progress in science bring with them...
The Global Search for Education: Who’s Working on Keeping Our Data Safe?
“We’re working on two areas to improve confidentiality of cloud computing.” — Jon Crowcroft Data and the intelligence that can be gained from it is seen as a solution to solving many of the world’s largest challenges, but despite the great opportunities, there are also significant risks. Data-based companies use data to make money. As computer systems become increasingly centralized and ubiquitous, the...
The Global Search for Education: Keeping Up With The Machines
“We should be changing the goals of education to focus on deeper learning: Relevance of what is taught, to build motivation, and personalization of the What and How; Versatility, to create ‘Renaissance humans’, which brings robustness to face whatever life throws at us; Transfer, insuring that what we learn in the narrow confines of schools, translates into actionability in real-life situations.” — Charles Fadel...
The Global Search for Education: AI, Algorithms and What Should We All Be Thinking About?
“Algorithms are as biased as the humans who designed or commissioned them with a certain intention. We should therefore spark an open debate about the goals of software systems with social impact.” — Ralph Müller-Eiselt Biased algorithms are everywhere, so at a critical moment in the evolution of machine learning and AI, why aren’t we talking about the societal issues this poses? In her book, Weapons of Math Destruction – How Big Data...
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