Completed Bibliography

Jocelyn Cranefield’s article dives into people using Artificial Intelligence within the workplace, and as she explains it more specifically, “Digital Productivity Assistants (DPAs)”. Cranefield explains how AI within the near future could be “seen as partners” within the workspace. Cranefield explains that rather than AI being used as a “tool”, it can be more properly used within a professional manner as a partner. Give the partner a piece of information that you need dealt with, the AI partner helps. Cranefield explains the different ways people have used AI as an assistant. “humans were doing a new type of work for the AI so that the AI would have better data and perform better for them.” saying how the human had added meetings, and changed times in their Outlook, and had the AI organize everything, like an assistant. The most important thing that Cranefield touched on is “efforts were required to successfully activate the DPA” stating that AI takes work to use. This is interesting, as most people view it as something you can copy and paste into, and it will spew out answers. I think this article will be useful in my essay, I really like her philosophy of viewing AI as an assistant/partner within the workplace to organize, and simplify things for you, not just do your work. The work is a little older, and before the big CHATgpt “boom” which may come as a challenge when using this piece.

Cranefield, Jocelyn. Partnering with AI: the case of digital productivity assistants. Victoria University of Wellington, 2022.

H. Elmsellem’s article is a study on AI’s productivity and it’s ability to save humans time. In the intro, Elmsellem states “AI-powered tools reduce time spent on repetitive activities, allowing employees to focus on strategic and creative tasks.” Addressing the belief that AI is a tool to save time on easy, time consuming activities, and to save time for tasks that take deeper thought, and human intellect. In Elmsellem’s study, it was found that 75% of people found the advantage of AI within automating tasks while only 25% of people had challenges. This goes to show that taking the time to learn how to automate a task proves useful. Using artificial intelligence, “businesses can quickly examine large amounts of data”. A task that typically takes hours can be done within seconds by simply implementing data into the AI system. This article will prove useful in my essay, as it is very recent, and there are many examples of how AI can prove useful at work. I do not see too many challenges that could arise from using this source.

Elmsellem, H. Artificial Intelligence and Productivity: Essential Tools to Save Time. ISPITS, 2025

Francesco Filippucci, Peter Gal, Cecilia Jona-Lasinio, Alvaro Leandro, Giuseppe Nicoletti. The impact of Artificial Intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges. OECD 2024

Dr. Ch Sahyaja, Dr. Khudsiya Zeeshan, Dr. Ch Shankar, Dr. N. Nagaraj. Artificial Intelligence and Remote Work:
Transforming Human Resource Management in a Post-Pandemic World
. ICACRS, 2024.

AlFatma Salama’s article is about the use of AI within the hospitality industry. Using AI and virtual reality, companies can develop realistic training within the hospitality industry. Salama’s study took place in Egypt and Saudi Arabia, which are two of the biggest tourism capitals in the Middle East. “Training through VR is noted to enhance efficiency and effectiveness”. Using realistic situations within AI, employees can make mistakes without affecting the company’s reputation. Companies have started using robots with AI technology “to automate repetitive, undesirable, tedious, and hazardous tasks”. This could be used as both a pro and a con within my research argument. While the robots are taking away “undesirable” jobs, those jobs could very well be a job that helps someone put food on the table for their family. However, it does get rid of human error and helps with human safety, which could help the company with things such as lawsuits and employee compensation.

AlFatma Salama, Nourhan Anter. The Application of Artificial Intelligence (Virtual Reality and Augmented
Reality) as a Training Tool in the Hospitality Industry
. IJTHS, 2025.

Frederic G. Reamer dives into the ethical issues of AI within the workplace. Reamer states, “Data gathered from clients by social workers using AI must be protected.” Confidentiality is a big downside of using AI within the workplace, especially when dealing with something confidential, such as a client’s finances. Reamer goes on to say that customers’ data must be “encrypted and protected from data breaches”. This becomes important as someone could ask AI to organize a customer’s profile and put their personal information in without thinking about the repercussions of a data breach. The group Reamer talks about “developed model standards, including extensive ethics guidelines related to technology use”, specifically addressing seven concepts: “practitioner competence; informed consent; privacy and confidentiality; boundaries, dual relationships, and conflicts of interest; records and documentation”. I like this source as it gives my main argument backlash and it is not a spineless argument. I also like how I can use it against itself and talk about how standards are being put in place to prevent the misuse of AI within the workplace.

Frederic G. Reamer. Artificial Intelligence in Social Work: Emerging Ethical Issues. International Federation Of Social Workers, 2023.

Dr. Mohamed Abdal Razek Amin, Dr Abdel Hamed Mohamed Mahmoud Bakry. Requirements for Integrating the Use of Artificial Intelligence Tools into Local Development Practices. Aswan University, 2024.

James Muldoon, Callum Cant, Boxi Wu, Mark Graham. A typology of artificial intelligence data work. Big data & society, 2024.

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