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.
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.
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.
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.