Embracing artificial intelligence can help us create a new, equitable social contract — but only if we remember what makes us human.

This is an article from Turning Points, a special section that explores what critical moments from this year might mean for the year ahead.

Turning Point: The coronavirus pandemic inspired a wave of touchless, contactless interactions — including food delivery and medical care — and the replacement of human workers by computers and other technology.

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Automation, robotics and artificial intelligence technologies have been taking over routine tasks for years. The Covid-19 pandemic has rapidly increased that trend, driven by the triple necessities of increased productivity, lower costs and human safety. Suddenly, human contact is both undesirable and more longed for than ever. Delivery companies, plumbers and even some medical providers now boast about their “zero contact” service, but we relish any chance we get to have an in-person meal or a face-to-face meeting. …


This is a series of 4 articles I am sharing here, for people who are concerned and eager to understand more about job displacement impact potentially caused by artificial intelligence technology. You would read about “safe” versus “endangered” jobs in this series. The jobs listed in each article are demonstrative from my research research and technological knowledge, which may or may not fit into your personal scenario.

I highly encourage readers to take those as references and inspirations, and to start re-imagine and re-strategize your career today with our shared future — powered by AI.

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How to determine what jobs are safe/unsafe?

White collar:

  • Repetition vs. strategic:
  1. Does your job have minimal repetition of tasks? …


This is a series of 4 articles I am sharing here, for people who are concerned and eager to understand more about job displacement impact potentially caused by artificial intelligence technology. You would read about “safe” versus “endangered” jobs in this series. The jobs listed in each article are demonstrative from my research research and technological knowledge, which may or may not fit into your personal scenario.

I highly encourage readers to take those as references and inspirations, and to start re-imagine and re-strategize your career today for our shared future — powered by AI.

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Source: kaifulee.medium.com

How to determine what jobs are safe/unsafe?

White collar:

  • Repetition vs. strategic:
  1. Does your job have minimal repetition of tasks? …


This is a series of 4 articles I am sharing here, for people who are concerned and eager to understand more about job displacement impact potentially caused by artificial intelligence technology. You would read about “safe” versus “endangered” jobs in this series. The jobs listed in each article are demonstrative from my research research and technological knowledge, which may or may not fit into your personal scenario.

I highly encourage readers to take those as references and inspirations, and to start re-imagine and re-strategize your career today with our shared future — powered by AI.

Image for post
Image for post

How to determine what jobs are safe/unsafe?

White collar:

  • Repetition vs. strategic:
  1. Does your job have minimal repetition of tasks? …


This is a series of 4 articles I am sharing here, for people who are concerned and eager to understand more about job displacement impact potentially caused by artificial intelligence technology. You would read about “safe” versus “endangered” jobs in this series. The jobs listed in each article are demonstrative from my research research and technological knowledge, which may or may not fit into your personal scenario.

I highly encourage readers to take those as references and inspirations, and to start re-imagine and re-strategize your career today with our shared future — powered by AI.

Image for post
Image for post

How to determine what jobs are safe/unsafe?

White collar:

  • Repetition vs. strategic:
  1. Does your job have minimal repetition of tasks? …


From automating accounts to marking homework, AI is finally starting to come through in mainstream applications

In the past two or three years artificial intelligence has felt like rocket science. Companies such as DeepMind have captivated our attention. We have been wowed by developments in areas such as computer vision, machine translation and speech recognition.

In 2020, AI will begin to live up to the hype by starting to generate real economic value through its application across industries. According to consulting firm PricewaterhouseCoopers, the widespread adoption of AI will add about $15.7 trillion to global GDP by 2030. Most of that business value will come not from AI-focused companies, but from the infusion of artificial intelligence into traditional industries. …


Disease diagnosis, drug discovery, robot delivery — artificial intelligence is already powering change in the pandemic’s wake. That’s only the beginning.

Dr. Kai-Fu Lee

ON NEW YEAR’S Eve the artificial intelligence platform BlueDot picked up an anomaly. It registered a cluster of unusual pneumonia cases in Wuhan, China. BlueDot, based in Toronto, Canada, uses natural language processing and machine learning to track, locate, and report on infectious disease spread. It sends out its alerts to a variety of clients including health care, government, business, and public health bodies. …


June 25th 2020, The Economist | By Invitation | The world after covid-19

The pandemic is accelerating a shift towards people-less companies that will eventually characterize business everywhere.

DURING THE SARS crisis almost 20 years ago, shops in Beijing were completely closed. It forced one retailer, Jingdong Century Trading Co, to try its luck online. That retailer was JD.com, today one of China’s e-commerce giants. Fast forward to 2020. Amid the covid-19 crisis, JD.com managed a 20% spike in sales with the help of a new, automated warehouse that can process more than 1.5m orders a day. In Wuhan it delivered packages using robots and drones. …


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By Kai-Fu Lee

January 11, 2019

Kai-Fu Lee is a venture capitalist and author of AI Super Powers: China, Silicon Valley and the New World Order.

In 2015, a man named Nigel Richards won the title of French-­language Scrabble World Champion. This was especially noteworthy because Richards does not speak French. What the New Zealander had done was memorize each of the 386,000 words in the entire French Scrabble dictionary, in the space of just nine weeks.

Richards’ impressive feat is a useful metaphor for how artificial intelligence works — real AI, not the paranoid fantasies that some self-­appointed “futurists” like to warn us about. Just as Richards committed vast troves of words to memory in order to master the domain of the Scrabble board, state-of-the-art AI — or deep ­learning — takes in massive amounts of data from a single domain and automatically learns from the data to make specific decisions within that domain. …


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The term was coined in 1956, at a historic conference at Dartmouth, but it has been only in the past 10 years, for the most part, that we’ve seen the first truly substantive glimpses of its power and application. A.I., as it’s now universally called, is the pursuit of performing tasks usually reserved for human cognition: recognizing patterns, predicting outcomes clouded by uncertainty, and making complex decisions. A.I. …

About

Kai-Fu Lee

AI Expert, CEO of Sinovation Ventures (创新工场), founding President of Google China, Author of “AI Superpowers”

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