Controlling Technology brings together widely conflicting views concerning the nature of modern technology as it relates to the quality of everyday life and to the larger problem of human survival on this planet. The thesis that technology has indeed become autonomous is contrasted with the position that, by its very nature, technology can only exist under human control. Thirty-four insightful essays are divided into eight parts, each with its own introduction summarizing the chapters and placing them in their appropriate contexts.
Bill was a Professor of Computer Science from 1975 to 2018, first at the University of Minnesota and then in the School of Computing at the University of Utah. He received his Sc.B in Physics from Brown University and M.S. and Ph.D. in Computer Science from the University of Southern California. Bill contributed significantly early in his career to the field of computational vision, especially in the areas of visual motion perception and dynamic scene analysis.