Editorial Resources
This resource from PsyPost, explores how advanced AI models, like ChatGPT-4, can both mirror human cognitive errors and surpass human performance in certain cognitive tasks, highlighting the potential for AI to both influence and improve research methodologies and participant interactions. This article shows how AI can be of used in varying settings but must be monitored thoroughly at the same time.
Author: Eric W. Dolan
Too Much Trust in AI Poses Unexpected Threats to the Scientific Process
This resoure from Scientific American, discusses the complexities and risks associated with integrating AI into scientific research, particularly when it involves human participants. It emphasizes the importance of maintaining trust in scientific processes and ensuring that AI tools are used ethically and responsibly. The article calls for a balanced approach to integrating AI into research to safeguard the integrity of studies involving human participants and to maintain public trust in scientific practices.
Author: Laren Leffer
Can AI Replace Human Research Participants? These Scientists See Risks
This resource from Scientific American explores the potential and risks of using AI to simulate or replace human participants in research studies. It examines the arguments from scientists who are concerned about the implications of such practices. The article underscores the need for careful consideration when integrating AI into research methodologies, ensuring that such practices do not compromise the quality or ethical standards of studies involving human participants.
Author: Chris Stokel- Walker
AI Outperforms Humans in Creativity Tests
This resource from Earth.com reports on studies where AI systems have demonstrated superior performance in tasks traditionally considered creative, such as generating novel ideas or artworks. The article highlights the evolving landscape of creativity research, where AI’s capabilities challenge existing paradigms and necessitate thoughtful consideration of how human participants are integrated into these studies.
Author: Eric Ralls
Understanding Artificial Intelligence with the IRB: Impacts in Research
This resource from Columbia University, explores the implications of integrating AI into research from an IRB perspective. It focuses on how AI influences research ethics and regulatory considerations. The article highlights the critical role of IRBs in adapting to the challenges posed by AI in research, ensuring that the integration of AI into studies involving human participants is ethical, transparent, and respects participants’ rights.
Authors: Diana Bae and Jooyoung Jeon
The Derek Bok Center for Teaching and Learning
This resource from the Derek Bok Center for Teaching and Learning at Harvard University discusses the implications and applications of AI in the context of education and research. It explores how AI can be used to enhance learning, teaching, and research methodologies, as well as the ethical considerations involved. Overall, the Bok Center article provides valuable insights into how AI can be integrated into research and education while highlighting the importance of maintaining ethical standards and protecting human participants in these processes.
Generative Artificial Intelligence (AI)
This resource from Harvard University Information Technology provides an overview of how AI is being integrated into various systems and processes at Harvard, including its applications in research and education. The article underscores the potential benefits of AI in research while also emphasizing the need for careful consideration of ethical and practical issues to ensure that the use of AI in studies involving human participants is responsible and effective.
New AI Tool Captures How Proteins Behave in Context
This resource from Harvard Medical School, describes an AI tool that models protein behavior in various contexts, which is crucial for advancing personalized medicine by tailoring treatments to individual patients’ protein profiles. This tool also accelerates drug development by providing precise insights into protein-drug interactions, leading to faster identification of effective therapies. Furthermore, it enhances basic research into protein functions and disease mechanisms, improving our understanding of health conditions and treatment strategies. Ethical considerations and data accuracy are vital to ensure that such advanced tools are used responsibly in research involving human participants.
Author: Mark Gaige