Challenge III - AI, COMPUTATIONAL TECHNOLOGIES, AND INDIVIDUAL WELL-BEING!
AI, Computational Technologies, and Individual well-being!

Throughout the history of civilization, humans have lacked capabilities to realize superior well-being for self, friends, and family. In the modern age, artificial intelligence (AI) based computational technologies offer tremendous capabilities, as they enable people to grow better quality and quantity of food, exercise, safety, connectedness with others, and so on. For example, such technologies are being used to digitize mobility and routes, enabling us to travel around the globe (such as, through Google maps and Uber). Similarly, language translators are connecting lives by overcoming cultural and linguistic barriers. While technologies (such as the global positioning system (GPS)) are offering benefits, their adverse effects are being noted as well. Privacy concerns due to excessive monitoring are an example. Similarly, there are concerns about the ill effects of technologies, such as the cell phone and internet (Jenaro et al. 2007). While AI-based computational technologies underline possibilities to enhance well-being, their effects (positive or negative) are less understood. The case study may identify the opportunities and challenges for organizations, business, and individuals (including consumers, students, patients, and others), due to advances in such computational technologies. Specifically, the case study may focus upon any of the topics listed below:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      


The book discusses a model for human choice in the era of computational technologies.
Chapter 1 discusses the notion of individual well -being and how technology influences it. Noting that individual capabilities have been limited, the chapter outlines technology as offering enhanced capabilities that may influence well-;being. Outlining the growth in computational intensity due to modern day computational technologies, the chapter uses a fitness perspective to conceptualize a fitness landscape. Along with computational intensity, individual aspirations are proposed to influence well-being. The chapter models the influence of aspirations and computational intensity on fitness (well-being).
Chapter 2 discusses the foundation concepts of choice, explaining what is choice and the information processing basis for choice. The book identifies two questions: why and how technologies influence choices and argues for the presence of a choice making process that accounts for errors in human choice-making.
 

Case Study #3 Topic Choices
Topic 1: Identify how AI-based or other computational technologies used in healthcare (say hospitals) or education (say schools) are influencing patient health or student outcomes, respectively. What are the effects of these technologies on the performance of healthcare organizations or educational institutions?
Topic 2: How are computational technologies (such as, price comparison software) changing the ways human shop or consume? How are modern AI-based technologies influencing these activities and well-being?
Topic 3: Has the advent of AI-based technologies changed the way individuals play and entertain? Identify technologies being used in the arena of sports and recreation? How are these influencing individual activities and well-being?
Topic 4: Identify the negative influence of AI and computational technologies on individual well-being?
Topic 5: Identify how Artificial Intelligence (AI) and computational technologies are influencing the emotional and physical well-being of individuals, such as by helping them network (e.g., through social networking website), communicate (e.g., through Skype), or learn (e.g., through online lectures).
Other topics: Participants are encouraged to find another topic (not listed here) in the domain of retail automation and analytics, for their case study. Please write to us at competitions@thecomsociety.com, to check if the topic may be appropriate for the competition.

  1. Books and Research Links:

    • Brynjolfsson, E., & McAfee, A. (2014a). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: WW Norton & Company.
    • Edelman, S. (2008). Computing the mind: How the mind really works. Oxford, NY: Oxford University Press.
    • Krugman, H. E. (1971). Brain wave measures of media involvement. Journal of Advertising Research, 11(1), 3—9.
    • O’Shea, M. (2005a). The brain: A very short introduction. Oxford, NY: OUP Oxford.

  2. Other References and Publications

  3. Databases: