I am Francisco D. Hurtado de Mendoza, M.S., a PhD Student on Albizu University’s Industrial Organizational Psychology Program.
I’m trying to reach out to the OpenAI ChatGPT Research Team to see how possible it is to share with them my dissertation scope; and how I could receive their approval and support to use their platform as a resource.
The proposed dissertation is titled:
“Emotional Intelligence & Artificial Intelligence: A Study on Decision-Making”
Please let me know if it’s at all possible to schedule a MS Teams’ meeting, or Zoom, or even telephonically to further discuss.
Not really something the developer forum can assist with, you can try reaching out to help.openai.com and using the bot in the bottom right hand corner to leave your contact details and an explanation of what you would like help with.
That’s just a request for API credits, there are no other benefits, access, or grants. That may be all that’s being asked for here.
I asked the AI to give a freebie.
Abstract:
In the era of large language models and their pervasive use in various applications, there is a growing concern regarding the emotional intelligence embedded within these AI systems and the potential impact on decision-making. This article presents a comprehensive study that delves into the intricate relationship between Emotional Intelligence (EI) and Artificial Intelligence (AI) and its influence on decision-making processes.
Our research investigates the capacity of contemporary AI models to comprehend and generate emotionally intelligent responses, shedding light on the underlying mechanisms that enable these systems to emulate human-like emotional understanding. We employ a diverse range of AI models and assess their ability to recognize and respond to emotional cues in textual inputs.
Furthermore, our study explores the implications of emotionally intelligent AI on real-world decision-making scenarios. We examine how individuals interact with emotionally intelligent AI systems when making critical decisions and evaluate the outcomes in terms of effectiveness and user satisfaction.
Through a combination of empirical analysis, user studies, and qualitative assessments, this article offers valuable insights into the evolving landscape of AI-driven decision-making. It highlights the ethical considerations and potential biases that may arise when deploying emotionally intelligent AI systems in various domains, from customer service to healthcare.
Ultimately, our findings contribute to a deeper understanding of the intersection between Emotional Intelligence and Artificial Intelligence and provide a foundation for future research and the responsible development of AI technologies that enhance, rather than hinder, human decision-making processes.
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