The recent developments in the research area of artificial intelligence (AI) and its applications across various sectors indicate a significant shift towards more responsible, context-aware, and interdisciplinary approaches. There is a growing emphasis on integrating AI with established social contexts and normative structures, as highlighted by studies advocating for a moderately conservative approach to AI ethics. This trend underscores the importance of preserving existing ethical standards while fostering innovation. Additionally, the field is witnessing a surge in the use of AI to enhance academic productivity and interdisciplinary research, particularly in areas like art and computational social science. However, this expansion raises concerns about the narrowing focus of scientific research and the potential reduction in diversity and broad engagement. Notable advancements include the development of frameworks for trustworthy AI in specific sectors, such as energy, and the exploration of AI's transformative potential in reshaping human civilization. These developments suggest a future where AI is not only a tool for individual advancement but also a catalyst for broader societal change, provided that ethical and regulatory challenges are adequately addressed. Notably, the FACTS-V1 framework demonstrates innovative use of AI in automating scientific research processes, enhancing efficiency and scalability in data evaluation and interpretation.
Responsible and Interdisciplinary AI: Emerging Trends and Transformative Potential
Sources
Precarity and Solidarity: Preliminary results on a study of queer and disabled fiction writers' experiences with generative AI
From Principles to Practice: A Deep Dive into AI Ethics and Regulations
The Impact of Artificial Intelligence on Art Research: An Analysis of Academic Productivity and Multidisciplinary Integration
Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground
Institutional Shifts in Contribution to Indian Research Output during the last two decades
Identifying the Barriers to Human-Centered Design in the Workplace: Perspectives from UX Professionals
Use of diverse data sources to control which topics emerge in a science map
Responsible AI in the Software Industry: A Practitioner-Centered Perspective
AI Expands Scientists' Impact but Contracts Science's Focus
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors
Automatic answering of scientific questions using the FACTS-V1 framework: New methods in research to increase efficiency through the use of AI
From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021
Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting