SECTION: Features
The societal implications of computing are far-reaching. Whether it is building technologies that might save lives in the medical sector, intuitive apps that can transform personal routines at scale, or enterprise systems that ease and enhance the everyday experiences of workers, many are drawn to computing because of its potential to improve the human experience. This article considers the relationship between technology and societal transformation by looking at the topic of accessibility.
By Christine T. Wolf, July 2020
PDF | HTML | In the Digital Library
The ethics of artificial intelligence in Africa should come from the social contract theories and ethical frameworks developed by African philosophers. But if AI researchers fail to incorporate cultural differences, they risk perpetuating the same injustices witnessed during colonial times.
By Ezinne Nwankwo, Belona Sonna, November 2019
PDF | HTML | In the Digital Library
Computer-generated art has long challenged traditional notions of the role of the artist and the curator in the creative process. In the age of machine learning these philosophical conceptions require even further consideration.
By Emily L. Spratt, April 2018
PDF | HTML | In the Digital Library
How can people and AI equally participate in creating something? How do they do it when they cannot edit or revise their work?
By Brian O'Neill, June 2013
PDF | HTML | In the Digital Library
SECTION: Features
University of Chicago's Robert Soare, the Paul Snowden Russell Distinguished Service Professor of Mathematics and Computer Science, offers his reflections on Alan Turing.
By Arefin Huq, March 2012
PDF | HTML | In the Digital Library
SECTION: Features
Can information presented below the threshold of consciousness be used to provide support to the users of interactive computer systems?
By Ryan Kelly, September 2011
PDF | HTML | In the Digital Library
Anytime Algorithms are algorithms that exchange execution time for quality of results. Since many computational tasks are too complicated to be completed at real-time speeds, anytime algorithms allow systems to intelligently allocate computational time resources in the most effective way, depending on the current environment and the system's goals. This article briefly covers the motivations for creating anytime algorithms, the history of their development, a definition of anytime algorithms, and current research involving anytime algorithms.
By Joshua Grass, September 1996
PDF | HTML | In the Digital Library
