AHFE Open AccessTo What Extent Can AI Simplify Academic Paper Writing?
Abstract
In the AI era, how will the work of researchers change and what will the future of the research profession be like? This paper discusses how academic paper writing can be made more efficient through AI assistance. To facilitate our discussion, we used a somewhat unusual approach. Noting that the novelty and inventive step of an invention and the originality and academic significance of an academic paper are the same, we propose a six-step model for AI-assisted academic paper writing, inspired by AI-assisted patent prior art search. On the basis of the proposed model, we present our thoughts on the future of researchers' work and the research profession in general.
Keywords: Artificial Intelligence, Professional Work, Future of Work, Researchers, Academic Paper Writing
DOI: 10.54941/ahfe1004194
Cite this paper
More from this volume
- CHAAIS: Climate-focused Human-machine teaming and Assurance in Artificial Intelligence Systems – Framework applied toward wildfire management case study
- The Evolution of AI on the Commercial Flight Deck: Finding Balance between Efficiency and Safety While Maintaining the Integrity of Operator Trust
- TAUCHI-GPT: Leveraging GPT-4 to create a Multimodal Open-Source Research AI tool
- A Survey of Beliefs and Attitudes toward Artificial Intelligence — Practical Implications and Fictional Depictions
- Exploring the Impact of Generative Artificial Intelligence on the Design Process: Opportunities, Challenges, and Insights
- Relationships among Personality Traits, ChatGPT Usage and Concept Generation in Innovation Design
- Leveraging Multi-User Dungeons for Ethical AI Decision Support Systems: A Novel Approach
- Measuring the Impact of Picture-Based Explanations on the Acceptance of an AI System for Classifying Laundry
- Automated generation of synthetic person activity data for AI models training
- Human-Animal Teaming as a Model for Human-AI-Robot Teaming: Advantages and Challenges
- A method to generate adversarial examples based on color variety of adjacent pixels
- Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach