Intelligent tutors

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

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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Should tech support be kept in-house?

My cell phone is malfunctioning in many ways.  Top four problems: it no longer recognizes my fingerprint; I seem to have misplaced my AppleID, which together with the fingerprint recognition problem, makes it impossible to do many things; it does not sync properly with my laptop; and I have to retype my password many more times a day then is sensible.

So today I tried calling the main downtown Apple store, in the Toronto Eaton Centre, to make an appointment with a “genius”.  In the past, I have reached someone there, or perhaps in Toronto, or at least in Canada, who had some idea of the geography.  Today I first had to fill out a form on my cell phone, which wanted me to choose one its options with a canned support answer on the site.

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Personal space in the age of addictive technology

Approximately two months ago, I had brunch with a friend and colleague — Fred, not his real name — who I had known for over 40 years.  I had not seen him in six months.  Over the space of an hour, he received at least six calls on his cell phone from family members.  Based on what I could hear of his responses, no interruption dealt with an urgent matter.

Several times a year, I have dinner with dear friends of over 30 years, a vigorous professional couple in their 70s with accomplishments in the arts, the sciences, and public service.  Ann — also not her real name — is constantly using her phone to google for facts that will contribute to the conversation.  Her fact-checking is typically interesting, but is there a cost?

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