Technology and lifestyle in the COVID 4th wave and beyond

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

My blog post of May 18 suggested that some of the COVID-forced changes in work will survive past-COVID: “Large companies will shrink their office space footprint. Landlords will suffer economically, spaces will be vacant, and prices will drop. Many employees will work at home far more frequently than they did pre-pandemic. Many employees will no longer have a permanent desk; rather, they will grab a free desk when they are in the office. There will be less business travel, with more business conducted via teleconference. Progressive conferences will allow for both on-site and virtual attendance. Reductions in travel by [land and air will help] the environment.” 

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Chilling New Technologies for Surveillance

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

Technologists are creating increasingly more sophisticated digital technologies capable of monitoring us. 

The most mature technology is that of RFID tags. Now as small as grains of rice, RFID tags typically track the location and movement of items through an assembly line, warehouse, store, or library. The tags can also be attached to personal possessions such as clothing, passports, or cash.  RFID tags can be and are implanted in animals in order to track them in the wild. This is not now done to humans, although people may be carrying items with RFIDs and be tracked without realizing it. 

Other location tracking uses the Global Positioning System (GPS) of satellites. It allows mobile devices to know where on earth they are located, and also allows location tracking on those devices, and hence to monitor the whereabouts of a person carrying the phone. A chilling example of this occurred in a political protest in Ukraine in January 2014, when individuals who were in the barricaded city centre of Kiev received text messages saying ‘Dear subscriber, you are registered as a participant in a mass disturbance’. 

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Working at home during and after COVID

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

My blog post of February 11 shared the account of four people who, despite COVID, have preserved and in some cases enhanced family connections and communication through the use of teleconferencing technologies. This essay will look at the present and future of distance collaboration for work. 

It has not been easy, especially for couples who both have jobs and who have school-age children at home. There have been severe stresses in maintaining concentration and balancing work time; periods helping children with schoolwork; and time for chores, exercise, play, and being alone. 

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Physically separated, socially connected

Contributed by Ron Baecker, an Emeritus Professor of Computer Science at the University of Toronto, co-author of The COVID-19 Solutions Guide and author of Computers and Society: Modern Perspectives (OUP, 2019).

My family is widely separated. I live in Canada. My brother-in-law, niece, nephew, and their families are in New Jersey and Pennsylvania; my cousins, their children, and their families are in Argentina, Spain, England, and on both coasts of the USA. Typically, I visit my niece and nephew once or twice a year; I manage a trip to Buenos Aires or Bilbao, Spain, about every 3 years. But not recently. I therefore Facetime with either my nephew or my niece almost every week. We also are about to have our fourth global family Zoom. This started out to celebrate individual birthdays, with great spirit and feeling of bringing the family closer together. The next event will celebrate 3 birthdays — ages 78, 41, and 9 — and a recent birth in the family in London. The 9-year-old birthday event will see us participating in a day-long scavenger hunt. What fun!

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COVID-19: Computer scientists and CS students can act proactively for good

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, co-author of The COVID-19 Solutions Guide and author of Computers and Society: Modern Perspectives (OUP, 2019).

Readers of my blog will recall what I describe as digital dreams and digital nightmares.

Our world has been enriched by digital technologies used for collaboration, learning, health, politics, and commerce. Digital pioneers imagined giving humanity greater control over the universe; augmenting knowledge and creativity; replacing difficult and dangerous physical labour with robot efforts; improving our life span with computationally supported medicine; supporting free speech with enhanced internet reason and dialogue; and developing innovative, convenient, and ideally safe products and services.  Online apps and resources are proving very valuable, even essential, in the era of COVID-19.

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Social credit

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

Nosedive was the first episode of the third season of the British science fiction television anthology Black Mirror.  In this episode, everyone has a mobile phone which, when pointed at another person, reveals his or her name and rating. Everyone has a rating, which ranges from 0 to 5. The following happens continually as you are walking down a street or along the corridor of a building. You give a ‘thumbs up’ or ‘thumbs down’ to each person you pass, based on your instantaneous impression of that person and the nature of the encounter, no matter how trivial or quick the encounter is. A ‘thumps up’ raises that person’s rating a tiny bit; a ‘thumbs down’ lowers it. The other person concurrently rates you. Ratings determine one’s status in life, and the ability to get perks such as housing and travel. Therefore, people are on a never-ending, stressful, and soul-destroying quest to raise their online ratings for real-life rewards. Heroine Lacie desires a better apartment; she has a meltdown as she deals with unsurmountable pressure in the context of her childhood best friend’s wedding.

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Intelligent tutors

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

In this column, in my textbook, and in a speech “What Society Must Require from AI” I am currently giving around the world, I document some of the hype, exaggerated claims, and unrealistic predictions that workers in the field of artificial intelligence (AI) have been making for over 50 years.  Here are some examples.  Herb Simon, an AI pioneer at Carnegie-Mellon University (CMU), who later won a Novel Prize in Economics, predicted in 1958 that a program would be the world’s best champion by 1967.   Marvin Minsky of MIT, and Ray Kurzweil, both AI pioneers, made absurd predictions (in 1967 and 2005) that AI would achieve general human intelligence by 1980 and by 2045.  John Anderson, discussed below, made the absurd prediction in 1985 that it was already feasible to build computer systems “as effective as intelligent human tutors”.   IBM has recently made numerous false claims about the effectiveness of its Watson technology for domains as diverse as customer support, tax filing, and oncology.

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Digital technology firms, monopolies, and antitrust actions

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

Today’s digital technology industries are characterized by intense degrees of corporate concentration.

Amazon revolutionized access to books and continues to grow its market share of both print books and eBook sales — approaching 50% of print sales and more than 90% of eBook sales.  It is also starting to dominate the sale of many other kinds of goods, and now vigorously seeks a dominant market share in sectors such as grocery retailing and pharmacies. Facebook, which owns 54% of the social media market, is responsible for a great deal of the Internet hate speech and fake news nightmares we face today. Google, which revolutionized the business of search, and now owns 76% percent of that market, seems to manipulate the search engine algorithm for its own commercial benefit.  Apple, which demonstrated that it was possible to design for ease of learning and ease of use and still achieve commercial success, now owns 66% of the tablet market and 22% of the mobile phone market, and seems to manipulate the policies of software distribution on its platforms for its own commercial benefit.

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Diverse design thinking in technology

Contributed by Muriam Fancy. Muriam is a masters student at the Munk School of Global Affairs and Public Policy. She recently completed her BA in Peace, Conflict, and Justice with a double minor in Indigenous Studies; Diaspora & Transnational Studies. She runs Diverse Innovations (@diverseinnovat1), a platform discussing social good technology.

Amazon launched an artificial intelligence (“AI”) system in efforts to revolutionize its recruitment strategy, and found that their AI program was discriminatory against women. A Chicago court implemented an AI system called COMPAS to do a predictive risk analysis of the chances offenders are to re-offend either by committing the same crime that they were charged for or committing a more significant offense. However, the AI system used discriminated against black defendants noting that they will most likely commit a more significant offense in comparison to white defendants – read more in Chapter 11 of Computers and Society: Modern Perspectives

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Conscientious objector tech workers

Contributed by Ronald Baecker, who is an Emeritus Professor of Computer Science at the University of Toronto, author of Computers and Society: Modern Perspectives, co-author of thecovidguide.com, and author of the forthcoming Digital Dreams Have Become Nightmares: What We Must Do.

Today’s high-tech workers are the envy of the workforce.  They do a job that most love.  Many get to work with reasonable independence, with no bosses looking over their shoulders.  Rewards can be great; thousands and possibly tens of thousands have become millionaires.  Many have become billionaires.

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