PIT Colloquium Series IV: Using AI Responsibly in Business

HRM, technology management, and leadership by Ruwan Bandara
Demystifying Metaverse as a New Paradigm of Enterprise Digitization by Yiyang Bian
Business Digitalization - Fintech, AI, Blockchain, Peer-To-Peer Lending, Virtual Reality, Digital Payment by Kho Wen Lin
Horses for Courses’ in Data Science: Towards a Cross-Sectional Framework for Optimal Modeling for Business Problems by Prithvi Bhattacharya
Deep learning applications: A pandemic PIT binding solution by Joshua Thomas
Developing and using AI responsibly by Zeenath Reza Khan
Ruwan: I currently investigate the impacts of technology (AI and data analytics) on work and HRM. I am keen on understanding ethical issues transpiring from the use of technology and find solutions to these issues. Some examples include algorithmic bias, privacy issues and lack of autonomy.
Yiyang: As Facebook takes on metaverse as its new business infrastructure and company image, this new development blows a swirling wind through the IT industry. However, metaverse as a new enterprise paradigm is still quite unfamiliar to many technical people, letting along most business managers. In this paper, we give an overview of metaverse as a potential business platform and propose a framework for enterprise digitization. In particular, we clarify several critical concepts such as blockchainization, gamification, tokenization, and virtualization in relation to four Ps of marketing mix: People, Place, Product, and Process; although as many as ten Ps have been proposed, four of them are sufficient for our purposes.
Kho Wen Lin: Robots and AI could be particularly relevant in the financial and insurance industry. Robo-advisors could suggest the best policy to adopt for a specific customer. Robot process automation could help in the several activities that require the combination of manual and logical actions. Robo-advice capabilities offer benefits to financial and insurance companies as a way of expanding their presence in wealth management while allowing agents to maintain their focus on marketing sales.
Prithvi: Data Science with its myriad of statistical, mathematical and computing tools, ranging from support vector machines to convex optimization, presents enormous promise to solve business problems, subject to substantive financial, personnel and temporal investments. However, implementing tools not designed for the problem at hand will be futile at best and detrimental at worst. The contribution of this study is a prescriptive framework to guide the selection of data science tools and techniques based on (a) the nature and type of the problem and (b) the constraints on the underlying data. The implication is to provide a practical guide to make astute decisions about the choice of tools to identify an optimal business solution. Furthermore, this study embeds an opportunity for a data science project to implement the framework.
Joshua: The ability of machines to learn to perform tasks in the pandemic's treatment, medicine, screening, prediction, forecasting, contact tracing, and drug/vaccine development process has recently been the subject of a lot of discussion. This is due in large part to the current AI and ML research work impacts among gender, ethnicity, or disability. In this presentation, we will briefly outline and evaluate the binding solutions of DL for PIT from a medical aspect with suitable demos.
Zeenath: When teaching students skills and imparting knowledge, it is important that we as educators do it responsibly. More importantly, it is important that we ensure our students learn responsibility towards self, society and environment when applying the knowledge and skills they learn. AI is no different. It is exciting, progressive and has the power to change the world as we know it. Automation and artificial intelligence have the potential to do help us achieve the UN Sustainable Development Goals. But the potential for harm is just as significant. AI developing content for students, AI synthesizing speech, AI to weaponize drones are just some ways this technology could do more harm. It is then imperative that we teach students how to develop and use AI responsibly so that it benefits the greater community and upholds the fundamental values. I would like to engage with colleagues as academics to discuss ethical use of AI.