An Eye toward the Softer Side of CC2020 Computing Curricula: Professional, Legal, and Ethical Artificial Intelligence Issues

Guardat en:
Dades bibliogràfiques
Publicat a:Information Systems Education Journal vol. 22, no. 1 (2024), p. 53
Autor principal: Ladwig, Christine
Altres autors: Schwieger, Dana
Publicat:
Information Systems and Computing Academic Professionals
Matèries:
Accés en línia:Citation/Abstract
Full text outside of ProQuest
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

MARC

LEADER 00000nab a2200000uu 4500
001 3174408433
003 UK-CbPIL
035 |a 3174408433 
045 2 |b d20240101  |b d20241231 
084 |a EJ1417481 
100 1 |a Ladwig, Christine 
245 1 |a An Eye toward the Softer Side of CC2020 Computing Curricula: Professional, Legal, and Ethical Artificial Intelligence Issues 
260 |b Information Systems and Computing Academic Professionals  |c 2024 
513 |a Report Article 
520 3 |a Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work, learning, and living. MIS and computer science students are among the professional groups who are embarking into careers with nebulous frontiers obscured by the outcroppings brought on by AI. Computer Science and Information System curriculum task forces have recognized the increasing ethical and professional implications developers' work can have beyond the scope of the programmers' code. In this article, the authors examine the professional, legal, and ethical implications of copyrights and algorithmic bias resulting from development of AI-enhanced applications and offer suggestions for addressing these topics in courses considering changes to the CC2020 and IS2020 Model Curriculum frameworks. 
653 |a Computer Science Education 
653 |a Curriculum Development 
653 |a Information Systems 
653 |a Information Science Education 
653 |a Artificial Intelligence 
653 |a Advisory Committees 
653 |a Ethics 
653 |a Programming 
653 |a Legal Problems 
653 |a Masters Programs 
653 |a Copyrights 
653 |a Algorithms 
653 |a Computer Software 
653 |a Teaching Methods 
653 |a Risk Management 
653 |a Risk 
653 |a Compliance (Legal) 
700 1 |a Schwieger, Dana 
773 0 |t Information Systems Education Journal  |g vol. 22, no. 1 (2024), p. 53 
786 0 |d ProQuest  |t ERIC 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3174408433/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://eric.ed.gov/?id=EJ1417481