You Can't Get There From Here: Redefining Information Science to address our sociotechnical futures
–arXiv.org Artificial Intelligence
Current definitions of Information Science are inadequate to comprehensively describe the nature of its field of study and for addressing the problems that are arising from intelligent technologies. The ubiquitous rise of artificial intelligence applications and their impact on society demands the field of Information Science acknowledge the socio-technical nature of these technologies. Previous definitions of Information Science over the last six decades have inadequately addressed the environmental, human, and social aspects of these technologies. This perspective piece advocates for an expanded definition of Information Science that fully includes the socio-technical impacts information has on the conduct of research in this field. Proposing an expanded definition of Information Science that includes the socio-technical aspects of this field should stimulate both conversation and widen the interdisciplinary lens necessary to address how intelligent technologies may be incorporated into society and our lives more fairly.
arXiv.org Artificial Intelligence
Jan-20-2025
- Country:
- Africa > Kenya (0.04)
- North America
- Canada > Ontario (0.04)
- United States
- New York (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- California > Monterey County
- Monterey (0.04)
- Europe
- Netherlands (0.04)
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Cambridgeshire > Cambridge (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- Asia > Middle East
- Jordan (0.04)
- Republic of Türkiye > Istanbul Province
- Istanbul (0.04)
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Law (1.00)
- Information Technology > Security & Privacy (1.00)
- Media (0.68)
- Health & Medicine (0.68)
- Government > Regional Government (0.68)
- Technology:
- Information Technology
- Information Management (1.00)
- Communications > Social Media (0.94)
- Artificial Intelligence
- Representation & Reasoning (1.00)
- Natural Language (1.00)
- Issues > Social & Ethical Issues (0.94)
- Machine Learning > Neural Networks (0.68)
- Information Technology