Chat GPT: Artificially Original

AUTHOR

Alessio Faccia

University of Birmingham Dubai

ABSTRACT

The book Chat GPT Artificially Original by Dr Alessio Faccia explores the transformative potential of artificial intelligence (AI), focusing on ChatGPT as a key example of generative AI's application in various industries. The book provides insights into how AI reshapes professional practices, particularly in finance, auditing, and business decision-making. Key themes and highlights include: Generative AI in Business The book examines how AI tools, like ChatGPT, support creativity, efficiency, and problem-solving across sectors. It emphasises their role in automating tasks while maintaining originality. AI and Human Expertise Dr Faccia addresses the balance between AI capabilities and human oversight, discussing scenarios where AI complements expertise rather than replacing it. The concept of "artificial originality" highlights how AI generates valuable outputs from structured datasets and creative prompts. Practical Applications Real-world examples illustrate how AI enhances productivity in areas such as report drafting, data analysis, and customer engagement. It also covers AI's role in education and training, showing how it fosters skills development. Ethical and Strategic Considerations The book delves into ethical challenges, including data privacy, bias, and accountability in AI-generated outputs. It also advises on strategic integration of AI within organisations, ensuring it aligns with core values. Future Prospects Dr Faccia explores emerging trends and the future of generative AI, advocating for responsible adoption to unlock its full potential in a rapidly evolving technological landscape. Chat GPT Artificially Original is both a practical guide and a thought-provoking analysis of AI's expanding role in modern professional and personal contexts. It aims to inspire readers to engage with AI creatively and responsibly.

KEYWORDS: Chat GPT; Artificially Original; AI; Artificial Intelligence.

REFERENCES

FACCI

          Faccia, A., Al Naqbi, M.Y.K. and Lootah, S.A., 2019, August. Integrated cloud financial accounting cycle: how artificial intelligence, blockchain, and XBRL will change the accounting, fiscal and auditing practices. In Proceedings of the 2019 3rd International Conference on Cloud and Big Data Computing (pp. 31-37).

          Faccia, A., Moşteanu, N.R., Cavaliere, L.P.L. and Mataruna-Dos-Santos, L.J., 2020, September. Electronic money laundering, the dark side of fintech: An overview of the most recent cases. In Proceedings of the 2020 12th international conference on information management and engineering (pp. 29-34).
Mosteanu, N.R. and Faccia, A., 2020. Digital systems and new challenges of financial management–FinTech, XBRL, blockchain and cryptocurrencies. Quality–Access to Success, 21(174), pp.159-166.
Faccia, A. and Petratos, P., 2022, December. NLP And IR Applications For Financial Reporting And Non-Financial Disclosure. Framework Implementation And Roadmap For Feasible Integration With The Accounting Process. In Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval (pp. 117-124).
Faccia, A., McDonald, J. and George, B., 2023. NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping. Computers, 13(1), p.5.
Faccia, A., Manni, F., Pandey, V. and Cavaliere, L.P.L., 2023, December. Blazing a New Trail in ERP Integration with NLP and Generative AI through APIs: a fraud examination perspective. In Proceedings of the 2023 8th International Conference on Information Systems Engineering (pp. 177-184).
Faccia, A., Itani, R., Eltweri, A.A., Wanganoo, L. and Pio, L.L., 2024, February. Technologies Integration With Semantic Web Techniques For Business Valuation: Identifying Equities' Intrinsic Value Without Market Bias. In 2024 2nd International Conference on Cyber Resilience (ICCR) (pp. 1-11). IEEE.
Faccia, A., McDonald, J. and George, B., 2023. NLP Sentiment Analysis and Accounting Transparency.
Faccia, A., 2023. National payment switches and the power of cognitive computing against fintech fraud. Big Data and Cognitive Computing, 7(2), p.76.
Faccia, A., Ridon, M., Beebeejaun, Z. and Mosteanu, N.M.R., 2023, December. Advancements and Challenges of Generative AI in Higher Educational Content Creation A Technical Perspective. In Proceedings of the 2023 8th International Conference on Information Systems Engineering (pp. 48-54).
Faccia, A., Cavaliere, L.P.L., Petratos, P. and Mosteanu, N.R., 2022, August. Unstructured over structured, big data analytics and applications in accounting and management. In Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing (pp. 37-41).
Weinberg, A.I. and Faccia, A., 2024. Quantum Algorithms: A New Frontier in Financial Crime Prevention. arXiv preprint arXiv:2403.18322.
Faccia, A., Ridon, M. and Cavaliere, L.P.L., 2024. 12 The AI Application. Innovation in the University 4.0 System based on Smart Technologies, p.176.