How can we use AI for research without receiving false information or to get exactly what we need so it doesn't take long? Today Avi Staiman, Founder of SciWriter.ai, joins us to discuss what the future of research will be with AI.
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Timestamps:
[00:01:25] Daily AI news
[00:05:03] About Avi and SciWriter
[00:08:59] Traditional researching takes too long
[00:11:31] Using AI in researching
[00:14:21] Researching with AI after publishers block access
[00:18:01] Issues when you don't research with AI properly
[00:21:48] How to responsibly use AI
[00:25:15] Free resource for better researching with AI
Topics Covered in This Episode:
- Challenges faced by researchers in the current research publication process:
- Lengthy duration of research studies before entering the writing stage
- Numerous rounds of back and forth with publishers
- Need for a balance between quick publication and thorough review
- Negative implications of using generative AI in academia:
- Example 1: Professor fails students after using ChatGPT to confirm that their papers were written by AI, leading to a student rebellion
- Example 2: Researchers copy and paste from ChatGPT without proper review, raising concerns about the peer-reviewed process
- Torn feelings about the positive aspects and potential problems of technology in research
- Importance of education and open dialogue on responsible use of generative AI
- Benefits of access to information for individuals outside of the publishing realm
- Emphasis on accuracy in social science research and the negative impact of mistakes
- Discussion on publishers blocking large language models from accessing their information and its impact on model development
- Challenges of limited access to information due to paywalls and licensing restrictions
- The opportunity to use generative AI for verified and important information
- The potential negative effects of regurgitating content from platforms like Reddit
- Advantages of collaboration between academic publishers and AI companies to turn research into life-saving applications
- Acknowledgement of inaccuracies and hallucinations in generative AI tools
- Caution against substituting generative AI for accurate information in scientific research and publication
Keywords:
researchers, study, writing stage, time constraints, students, frustration, professors, initial draft, rewrite, delays, publisher, back and forth, acceptance, formatting, clunky process, quick publication, generative AI, academic purposes, ChatGPT, peer-reviewed process, errors, technology, responsible use, access to information, accuracy, social scie
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