My Machine and I: ChatGPT and the Future of Human-Machine Collaboration in Africa (2310.13704v1)
Abstract: Recent advancements in technology have necessitated a paradigm shift in the people use technology necessitating a new research field called Human-Machine collaboration. ChatGPT, an AI assistive technology, has gained mainstream adoption and implementation in academia and industry; however, a lot is left unknown about how this new technology holds for Human-Machine Collaboration in Africa. Our survey paper highlights to answer some of these questions. To understand the effectiveness of ChatGPT on human-machine collaboration we utilized reflexive thematic analysis to analyze (N= 51) articles between 2019 and 2023 obtained from our literature search. Our findings indicate the prevalence of ChatGPT for human-computer interaction within academic sectors such as education, and research; trends also revealed the relatively high effectiveness of ChatGPT in improving human-machine collaboration.
- Biswas, S. Importance of chat gpt in agriculture: According to chat gpt. Available at SSRN 4405391.
- Artificial intelligence in education: A review. IEEE Access 8 (2020), 75264–75278.
- Artificial intelligence applied to stock market trading: A review. IEEE Access 9 (2021), 30898–30917.
- Firat, M. How chat gpt can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive.
- A literature review on immersive virtual reality in education: State of the art and perspectives. In 11th International Conference eLearning and Software for Education (2015).
- Study and analysis of chat gpt and its impact on different fields of study. International Journal of Innovative Science and Research Technology 8, 3 (2023).
- Service innovation and smart analytics for industry 4.0 and big data environment. Procedia cirp 16 (2014), 3–8.
- Automated grading systems for feedback in education: A human-machine collaboration approach. Journal of Educational Assessment 18, 4 (2021), 205–221.
- Lemons, C. ”stanford faculty weigh in on chatgpt’s shake-up in education: Faculty from the stanford accelerator for learning share thoughts about how the new ai chatbot will change and contribute to learning and teaching”. Stanford Graduate School of Education (2022). December 20, 2022. Available at https://ed.stanford.edu/news/stanford-faculty-weigh-new-ai-chatbot-s-shake-learning-and-teaching?sf173917744=1.
- Summary of chatgpt/gpt-4 research and perspective towards the future of large language models. arXiv preprint arXiv:2304.01852 (2023).
- Machine learning for financial risk management: A survey. IEEE Access 8 (2020), 203203–203223.
- Investigating adolescent online safety and privacy interventions for social virtual reality.
- Data analytics for educational insights: Human-machine collaboration in education. Journal of Learning Analytics 21, 1 (2018), 78–93.
- Collaborative learning environments through human-machine collaboration in education. Journal of Educational Technology 10, 2 (2022), 125–142.
- Artificial intelligence in healthcare. Nat Biomed Eng 2 (2018), 719–731.