TY  - BOOK
AU  - Blackwell,Alan F.
TI  - Moral codes: designing alternatives to AI 
SN  - 9780262379205
AV  - QA76.754 .B527 2024
U1  - 004.25 23
PY  - 2024///]
CY  - Cambridge, Massachusetts
PB  - The MIT Press
KW  - Software architecture
KW  - Moral and ethical aspects
KW  - Human-computer interaction
KW  - Programming languages (Electronic computers)
KW  - Artificial intelligence
KW  - Electronic books
N1  - Includes bibliographical references and index
N2  - "The goal of this book is to establish an alternative agenda for commentary on AI that emphasizes the opportunities for human-centered system design by prioritizing direct specification of computer behavior. Drawing on the tradition of end-user programming research and resulting products and features, case studies show the ways that usable and controllable modes of abstract representation - moral codes - are fundamental to human freedom and creativity when using computers"--; Why the world needs less AI and better programming languages. Decades ago, we believed that robots and computers would take over all the boring jobs and drudgery, leaving humans to a life of leisure. This hasn't happened. Instead, humans are still doing boring jobs, and even worse, AI researchers have built technology that is creative, self-aware, and emotional-doing the tasks humans were supposed to enjoy. How did we get here? In Moral Codes, Alan Blackwell argues that there is a fundamental flaw in the research agenda of AI. What humanity needs, Blackwell argues, is better ways to tell computers what we want them to do, with new and better programming languages: More Open Representations, Access to Learning, and Control Over Digital Expression, in other words, MORAL CODE. Blackwell draws on his deep experiences as a programming language designer-which he has been doing since 1983-to unpack fundamental principles of interaction design and explain their technical relationship to ideas of creativity and fairness. Taking aim at software that constrains our conversations with strict word counts or infantilizes human interaction with likes and emojis, Blackwell shows how to design software that is better-not more efficient or more profitable, but better for society and better for all people. Covering recent research and the latest smart tools, Blackwell offers rich design principles for a better kind of software-and a better kind of world
UR  - https://directory.doabooks.org/handle/20.500.12854/146771
ER  -