AI & Society
Scope & Guideline
Unraveling the Impact of AI on Society
Introduction
Aims and Scopes
- Interdisciplinary Research:
The journal encourages contributions from various disciplines such as sociology, philosophy, law, and computer science, aiming to bridge gaps between technical and social understandings of AI. - Ethics and Governance:
A core focus is on ethical considerations and governance frameworks for AI technologies, exploring how to ensure fair, transparent, and accountable AI systems. - Cultural Impact of AI:
The journal investigates the cultural implications of AI, including how AI influences creativity, identity, and societal norms, and how these technologies are represented in media and art. - Social Justice and Equity:
It emphasizes the need for equitable AI solutions, addressing issues like bias, discrimination, and the digital divide, and advocating for inclusivity in AI development and deployment. - Future Societal Scenarios:
The journal explores speculative futures shaped by AI, considering potential social transformations and the philosophical implications of living alongside intelligent systems.
Trending and Emerging
- AI Ethics and Accountability:
There is a growing emphasis on accountability in AI systems, with discussions around ethical frameworks and practices that ensure responsible AI development and deployment. - Societal Impacts of Generative AI:
Research focusing on generative AI technologies, including their implications for creativity, authorship, and social interaction, is gaining momentum as these technologies become more prevalent. - AI in Governance and Policy:
Increasing attention is being given to how AI can be integrated into governance frameworks, addressing issues of transparency, citizen engagement, and democratic participation. - Mental Health and AI:
The intersection of AI and mental health is emerging as a significant theme, exploring how AI tools can support mental health initiatives, therapy, and patient autonomy. - AI and Climate Change:
There is a rising interest in examining how AI can be leveraged to address climate change challenges, reflecting the urgency of environmental concerns and the role of technology in sustainability.
Declining or Waning
- Technological Determinism:
There seems to be a waning interest in strictly deterministic perspectives on technology, as more nuanced discussions about the interplay between technology and social structures gain traction. - Overly Technical Analyses:
Papers that focus solely on technical aspects of AI without considering their societal implications are becoming less frequent, indicating a shift towards more holistic and interdisciplinary approaches. - AI and Traditional Employment:
Research specifically centered on the impact of AI on traditional employment roles is declining, possibly due to the increasing recognition of AI's broader societal impacts beyond job displacement. - Narrow AI Applications:
There is a noticeable decrease in studies focused solely on narrow AI applications without a critical analysis of their societal context, reflecting a preference for discussions that encompass wider implications. - Historical Perspectives on AI:
Research that primarily examines historical developments of AI technologies without connecting them to current societal challenges appears to be diminishing, as contemporary issues take precedence.
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