Human-Centered AI — an important new book by Ben Shneiderman

Ben Shneiderman is an Emeritus Distinguished University Professor in the Department of Computer Science at the University of Maryland, and a much-honoured pioneer in the field of Human-Computer Interaction. His recent book, Human-Centered AI, is a valuable contribution to the literature discussing challenges for the appropriate use of artificial intelligence and proposing approaches and steps to achieve a safer and more humane future incorporating the likely increased use of AI. 

Although there is much that I could discuss, I shall focus primarily on Part 3, Design Metaphors, and Part 4, Governance Structures. 

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The Internet as a Reverse Panopticon

C. Dianne Martin is Emeritus Professor of Computer Science at George Washington University, and Adjunct Professor in the School of Information, University of North Carolina at Chapel Hill. She has been teaching Computers and Society since 1983.

This article is adapted from one published March, 2013, in the ACM SIGCSE Inroads Magazine. 

In 1787 Jeremy Bentham, the British Utilitarian philosopher and penal reform theorist, wrote a series of letters in which he proposed a Panopticon (all-seeing), also called The Inspection-House.  His letters put forward “the idea of a new principle of construction applicable to any sort of establishment, in which persons of any description are to be kept under inspection”. For the next 16 years he was obsessed with the desire to implement his model prison design, which he believed would transform penal methods by drastically cutting cost through significant downsizing of the workforce needed to oversee prison populations.  He also felt such prisons would have positive moral value to the prisoners.

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What Society Must Require from AI

AI and in particular machine learning has made great progress in the last decade. Yet I am deeply concerned about the hype associated with AI, and the risks to society stemming from premature use of the software. We are particularly vulnerable in domains such as medical diagnosis, criminal justice, seniors care, driving, and warfare. Here AI applications have begun or are imminent. Yet much current AIs are unreliable and inconsistent, without common sense; deceptive in hiding that they are algorithms and not people; mute and unable to explain decisions and actions; unfair and unjust; free from accountability and responsibility; and used but not trusted. 

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A Review of: ‘Digital Dreams Have Become Nightmares: What We Must Do’

C. Dianne Martin is Emeritus Professor of Computer Science at George Washington University, and Adjunct Professor in the School of Information, University of North Carolina at Chapel Hill. She has been teaching Computers and Society since 1983.

I was delighted to receive email early this year from Prof. Ron Baecker, whose Computers and Society class at the University of Maryland in 1972 made me see that I could productively combine my previous studies in the social sciences and humanities with my new career in information technology. I was therefore eager to read his latest book, Digital Dreams Have Become Nightmares: What We Must Do.

In documenting his personal journey from dreams and exuberant optimism about computer technology to pessimism, nightmares, and fear caused by the emerging consequences of the tech explosion of the past 75 years. Ron has provided a comprehensive historical sweep of the computer revolution. In Part I he chronicles the high hopes of early developers to create technological solutions to disparities in healthcare and education, to increase creativity, collaboration, and community, and to provide greater power and convenience to all.

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Ethics throughout a Computer Science curriculum

Every Computer Science student should get significant exposure to the social, political, legal, and ethical issues raised by the accelerating progress in the development and use of digital technologies.

The standard approach is to offer one undergraduate course, typically called Computers and Society or Computer Ethics.  I have done this during the current term at Columbia University, using my new textbook, Computers and Society: Modern Perspectives (OUP, 2019).  We meet twice a week for 75 minutes.  In class, I present key topics covered in the book, and welcome a number of guest speakers who present their own experiences and points of view.  Every class is interactive, as I try to get the students to express their own ideas.  There have been four assignments: a policy brief, a book report, a debate, and a research paper.  Such courses are typically not required by major research universities, which is a mistake, but they are often required by liberal arts colleges.

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