Events Worlds of AI
Table of contents:
Events related to Worlds of AI.
Thesis Proposal Seminar: Value creation and capture through the use of machine learning.
Date: 23 February 2022, 13:15–15:00
Respondent: Ricardo Costa Climent, PhD student, Department of Informatics and Media at Uppsala University.
Opponent: Claire Ingram Bogusz, Senior Lecturer, Department of Informatics and Media at Uppsala University.
Academic research on the value of the use of information technologies tends to consider information technology homogeneously, without considering the specificities of each of the technological artefacts. The recently proposed theory of data network effects aims to explain how value is created for the user from the use of machine learning technology. Data network effects theory recognises the unique learning character of machine learning that is fed by large data sets in its use for predictions and decision-making.
This research proposal offers a critical evaluation of this theory, revealing some of its strengths and limitations. These limitations are related to the factors that co-condition the creation and capture of value, the multi-actor user, and the temporal perspective. The latter are transformed into a set of interrelated research questions that together constitute the research proposal proposed here on how to use machine learning technology to create and capture value. This here proposed research aims to extend our understanding of the conditions when the use of machine learning technology enables value creation and appropriation.
Research seminar: Towards an understanding of trust in AI chatbots in organisations – a research proposal
Date: Friday 18 February 2022, 13:15–15:00
Venue: H429 Faculty Club, Ekonomikum, Uppsala
Speaker: Sandra Bergman, PhD student at the Department of Informatics and Media, Uppsala University.
AI in the form of chatbots and other agents are being increasingly used in organisations all around the world. However, many of these organisations find that they are not seeing the user adoption that they had expected, leaving their AI underutilised. Research has shown several important factors for technology use, including trust.
This research proposal suggests that human-AI trust needs to be further explored, specifically in terms of 1) social context, no individual exists in a vacuum and surrounding factor impacts trust formation, and 2) new capabilities of AI suggests an ability to act independent, to show agency, which have not been considered previously when researching human-AI trust. This research proposal presents a literature review which highlights gaps in extant research and proposes that real world application of AI chatbots can provide an opportunity to examine the impact of social context and agency.