AI Academic Papers

How do scientists use the AI models in their work, and what impact will AI have on the scientific community?

Artificial Intelligence and Democracy: A Conceptual Framework

For better monitoring of AI’s impact on democracy in an interdisciplinary effort by computer and social scientists.

This paper provides an overview of AI’s historical context and evolution, emphasizing the concept of AI democratization. Current trends shaping AI democratization are analyzed, highlighting key challenges and opportunities.

Can we design artificial intelligence (AI) systems that rank our social media feeds to consider democratic values such as mitigating partisan animosity as part of their objective functions?

New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies (2024)

The model is created to guide the prioritization of ethics in human-AI teaming by outlining the ethical teaming process, outcomes of ethical teams, and external requirements necessary to ensure ethical human-AI teams.

Description g. Our post-colonial framework unpacks AI through its (1) global, (2) meso, and (3) local layers, and further dissects how these layers are vertically integrated, each with its horizontal dependenciesoes here

The research is based on a survey of 319 knowledge workers across various professions, who provided 936 real-world examples of how they use GenAI in their work.

Building upon the findings of our integrative review, we recommend four future directions that researchers, practitioners, and policymakers can take to advance more ethical practices of AI development and use across AI value chains.

Pre-Print

Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model

Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
Published in AI Magazine

Layered MoA architecture wherein each layer comprises multiple LLM agents.

Multi-agent referee team called ChatEval to autonomously discuss and evaluate the quality of generated responses from different models

Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends

From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks

KG-RAG: Bridging the Gap Between Knowledge and Creativity

Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

Our survey aims to serve as a valuable resource for researchers and practitioners interested in developing and deploying small yet efficient language models.

Unveiling the Potential of a Conversational Agent in Developer Support

Gorllia LLM Open source: RAFT: Adapting Language Model to Domain Specific RAG

Our study bridges the gap between information theory and architectural design, establishing entropy dynamics as a principled guide for developing efficient PI architectures.

Our framework allows researchers to discover potential mechanisms that impact life outcomes as well as the associated possibilities for personalized interventions.

Automated interpretation of electromyography using artificial intelligence to improve diagnosis in neuromuscular disorders

OPI•AID - Pioneering personalized perioperative pain management. Potentials to improve the quality of surgical procedures with targeted opioid doses for less pain and opioid-related side effects.

Critical Assessment of protein Structure Prediction (CASP14). Highly accurate protein structure prediction with AlphaFold

Advancing the Framework: Use of Health Data—A Report of a Working Conference of the American Medical Informatics Association

This paper offers approaches to policymakers, implementation scientists, clinical scientists, government regulatory bodies, and those working in the health and digital technology fields to take the lead in centering equity.

A systematic review of AI literacy conceptualization, constructs, and implementation and assessment efforts (2019–2023)

It highlights the importance of inclusive design and implementation of digital technologies

Artificial intelligence in education: A systematic literature review - ScienceDirect

Tutor CoPilot demonstrates how Human-AI systems can scale expertise in real-world domains, bridge gaps in skills and create a future where high-quality education is accessible to all students.

Ahead of the Curve: Implementation Challenges in Personalized Learning School Models

A recent study of 666 participants reveals a troubling connection: the more people use AI tools, the worse they perform on critical thinking tests. The impact appears strongest among young users.

OP-ED : https://the-decoder.com/frequent-ai-use-linked-to-lower-critical-thinking-scores-research-shows/