Visual Capitalist (July 31, 2018): Debunking 8 Myths About AI in the Workplace

Visual Capitalist (July 31, 2018): Debunking 8 Myths About AI in the Workplace

• "...5. Robots and AI are the same thing [Truth: Even though there is a tendency to link AI and robots, most AI actually works in the background and is unseen (think Amazon product recommendations). Robots, meanwhile, can be “dumb” and just automate simple physical processes."]

• VietTimes (Aug 2, 2018):  Nền kinh tế Trí tuệ nhân tạo: Thời điểm tốt nhất để Việt Nam bắt đầu   [Cụ thể, “để xây dựng được Văn hóa thời đại AI, Việt Nam cần thu hút trí nguồn lực tuệ tinh hoa thế giới từ các trường Đại học hàng đầu và vận động các quỹ, tập đoàn lớn trên thế giới tài trợ cho các dự án..."]

• The Atlantic (October 20, 2018 issue): Why Technology Favors Tyranny ["We should instead fear AI because it will probably always obey its human masters, and never rebel."] ["The race to accumulate data is already on, and is currently headed by giants such as Google and Facebook and, in China, Baidu and Tencent. So far, many of these companies have acted as “attention merchants”—they capture our attention by providing us with free information, services, and entertainment, and then they resell our attention to advertisers. Yet their true business isn’t merely selling ads. Rather, by capturing our attention they manage to accumulate immense amounts of data about us, which are worth more than any advertising revenue. We aren’t their customers—we are their product."]

• Quartz (June 19, 2018): How AI can identify fake news and warn advertisers who want to avoid it ["The approach is “very specific, very targeted, and requires a deep knowledge of the underlying sources and issues to develop,” she (Mevan Babakar - Full Fact(s) says. Reviews are very honed-in, looking, for example, at statistics floated by politicians about the National Health Service, immigration or other specific topics."]

• Datamation (May 30, 2018): Big Data vs. Artificial Intelligence ["With Big Data to feed these processors, machine learning algorithms can learn how to reproduce a certain behavior, including collecting the data to in turn speed up the machine. AI doesn’t deduce conclusions like humans do. It learns through trial and error, and that requires massive amounts of data to teach the AI."]

• NPR (Feb 9, 2018): Computational Propaganda: Bots, Targeting And The Future ["(But) the digital world we so recently built has changed all that. The December issue of the journal Big Data was dedicated to the problem of computational propaganda. In it, researchers Gillian Bolsover and Philip Howard, of the Oxford Internet Institute, define the dangers that need to be addressed: "Computational propaganda has recently exploded into public consciousness. The U.S. presidential campaign of 2016 was marred by evidence, which continues to emerge, of targeted political propaganda and the use of bots to distribute political messages on social media."]

• Cinnamon.is/vi: Extend human potential by eliminating repetitive tasks ["Tại Cinnamon chúng tôi đang nỗ lực mỗi ngày để tạo ra một thế giới nơi mà sự sáng tạo của con người được chắp cánh bằng cách giải phóng trí óc khỏi những công việc lặp đi lặp lại nhờ sức mạnh của Trí tuệ nhân tạo."] [Cinnamon trên các kênh truyền thông Việt Nam]

• Deloitte (April 26, 2017): Podcast: Artificial intelligence in government

• The Washington Post (May 4, 2016): Siri’s creators say they’ve made something better that will take care of everything for you

• YouTube - video; The team behind Siri debuts its next-gen AI “Viv” at Disrupt NY 2016