Your AI Friday – 10100
Welcome to the weekly selection of links compiled by PAC's AI team. This week, there's some worry about what China is doing in the AI space, however, we still have the vision of an ideal usage of this promising technology. Enjoy reading!
#UnionMakeEfficiency #WorkTogether #AllsAboutRythm
We’d like to refer you to this research paper for two reasons: a) it offers interesting general views and b) in part two, beyond dealing with the impact of A(I)utomation on various jobs, it looks at the question of ‘why the AI revolution is different from the industrial revolution of the 20th century?’ and ‘how society can prepare today's workers for the incredible speed of this new revolution' that will occur ‘in no time’ (within less than a generation).
"Research indicates that in many fields, the best results will come from humans supported by intelligent machines – a combination of a doctor and a machine, a teacher and a machine, etc. In the workplace of the near future, machines would continue to do the computational work they do well, while leaving other tasks to humans who see the big picture and have interpersonal skills."
#TheBiasKillingDetail #DataSegmentationIsKing #ThinkAboutItBeforeClickingTheSendButton
Despite not being great fans of "5 tips for this" and "10 way of doing that", we must say that this article is worth reading nonetheless. We have already shared with you some articles that drew a picture of how newly developed algorithms could be biased if founded on biased data sets (in some countries, the data may clearly be based on ‘racial profiling', for instance). In this regard, the article provides 5 tips as to what to keep in mind when developing a machine learning solution for use in low-income countries.
"How you segment data or choose an output variable, for example, may affect predictive fairness across different sub-populations. You could end up tuning a model to excel for the majority while failing for a minority group. These issues matter whether you’re working in Silicon Valley or South Africa, but they’re exacerbated in low-income countries. There is often limited local AI expertise to tap into, and the tools’ more troubling aspects can be compounded by histories of ethnic conflict or systemic exclusion."
#AINewPerspectives #AIImprovements #ProsAndCons
Artificial intelligence offers new perspectives in many areas, and surveillance and/or recognition systems are obviously part of the game. Apart from the obvious ethical issues, this technology can indeed bring added value, for example, if used in airports.
"AI is so good at analyzing the data that it can spot people who’re faking their walking. The method is less invasive than other behavioral biometric verification systems and could be deployed inside airports and other areas to check the identity of people passing by instantly."
#China #AIStartup #Cash
Investments in Chinese AI start-ups are at a staggering level! SenseTime, despite being on the market less than four years, has been valued at over $4.5 billion after its most recent investment round, which added $650 million and strengthened the company’s position as the largest start-up in AI. Even though one must say that given its enormous size (in terms of cash at least), the term "start-up" makes little sense anymore. The funding is coming from Asia (China, Singapore) and the United States, by the way. Quite generally, it is rare to see European investment funds invest in AI in China, which – considering where the Chinese start-ups are going, despite the high market risk – is quite a pity. Moreover, SenseTime is specialized in image and video recognition, a sector that is of particular interest to the Chinese government...
"The company’s a big contributor to the world’s biggest system of surveillance: if you’ve ever been photographed with a Chinese-made phone or walked the streets of a Chinese city, chances are your face has been digitally crunched by SenseTime software built into more than 100 million mobile devices. The country is ramping up spending on surveillance as it cracks down hard on restive parts of the country, including Xinjiang."
L'IA dans tous ses états : annonces, vidéos, partenariats, infographies... à lire, voir et écouter cette semaine.
#interesting Machine learning could stop an online war of words before it starts - technologyerview.com
#frightening Thanks To AI, A 3rd Person Is Arrested Following A Pop Superstar's Concert - npr.org
#opportunity Artificial Intelligence and The Banking Industry’s $1 Trillion opportunity - thefinancialbrand.com
#GoogleCrisis How a Pentagon Contract Became an Identity Crisis for Google - New York Times
#OpenNLP Intel AI Lab open-sources library for deep learning-driven NLP - VentureBeat
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