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Artificial Intelligence for Research Online Symposium
29, 30 March: 12:00 - 14:30
How to use AI to improve your research
Contact us: capelearning@gmail.com
+27 82 558 5311
An online "long lunch" symposium on Artificial Intelligence for Research will be held on 29 and 30 March 2023, from 12:00 to 14:30.
Topics include, but are not limited to:
AI-Enabled Automation of Research Processes
Literature surveys
Text generation and editing
Transcription
AI Tools for Data Analysis and Visualization
AI Tools for Predictive Analysis
AI Tools for Knowledge Discovery and Representation
AI Tools for Generating New Ideas and Hypotheses
AI-Enabled Digital Transformation of Academic Research
Ethics and Governance for Research with AI
Contact us:
+27 82 558 5311
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Academics, post-graduate students, researchers, publishers, managers, developers, computer scientists, software engineers, data scientists, machine learning experts, AI developers, and academics working in the fields of AI, machine learning, data science, and academic research. Additionally, those with an interest in the intersection of AI and research, such as entrepreneurs, investors, and policy makers, may also find the conference of interest.
Advantages of using language AI software such as ChatGPT, Quillbot, Lateral, and Midjourney in academic research include:
Speed and Efficiency: These tools can quickly generate text, summaries, and outlines, saving time and effort for researchers who need to process large amounts of information.
Improved Consistency and Accuracy: These tools can help researchers maintain consistent writing styles and reduce the number of errors in their writing.
Inspiration and Assistance: The language models can help researchers generate new ideas and insights, as well as suggest ways to rephrase or improve existing writing.
Improved Accessibility: These tools can be especially useful for researchers with disabilities or language barriers, as they can help them overcome these challenges and participate more fully in the research process.
However, there are also some disadvantages to using language AI software in academic research, including:
Quality and Reliability: While these tools can generate high-quality text, they are not perfect and may produce errors or inconsistencies. Additionally, the accuracy and quality of the output can vary greatly depending on the quality of the training data and the model's design.
Lack of Originality: Using AI tools to generate text may result in less original and creative writing, as the output is limited by the training data and the model's design.
Lack of Contextual Understanding: These tools do not have the same level of understanding of context and meaning as human writers, which can result in errors or misunderstandings in the output.
Ethical Concerns: There may be ethical concerns about the use of language AI software in academic research, such as questions about authorship and the potential for plagiarism.
In conclusion, while language AI software can be a valuable tool for academic research, it is important to use it responsibly and carefully consider the limitations and potential drawbacks".
(Written by ChatGPT in response to the prompt: What are the advantages and disadvantages of using software such as ChatGPT, Quillbot, Lateral and Midjourney in academic research?)
Benjamin Tran, MD Chat GPT Tutorial: Write a systematic review under 1 hour. YouTube
Matt Wolfe Guide to GPT-3 This Is Better Than ChatGPT (With Prompting Guide)
