Titel: Organizational Learning for Intelligence Amplification Adoption: Lessons from a clinical decision support system adoption project - talk given by Fons Wijnhoven
- Abstract: Intelligence amplification exploits the opportunities of artificial intelligence, which we understand as large data sets, semantic and analytic techniques, and codified knowledge for increasing the intelligence of human decision makers. Intelligence amplification does not replace human decision makers but may help especially professionals in making complex decisions. To understand the adoption challenges of intelligence amplification systems, we analyse the adoption of clinical decision support systems (CDSS) as an organizational learning process by the case of a CDSS implementation for deciding on administering antibiotics to prematurely born babies. We identify user-oriented and institutional learning as two learning processes that must be realized for effective intelligence amplification adoption. In our discussion, we generate propositions for organizational learning challenges for the adoption of intelligence amplification systems in different non-medical contexts and we draw consequences for projects of intelligence amplification adoption in organizations.
Keywords: analytics; clinical decision support system; intelligence amplification adoption; organizational learning; system dynamics - Bio: is associate professor of knowledge management and information systems at the University of Twente, Netherlands. Dr Wijnhoven researches information services design with a focus on the values and credibility of information in systems and the Internet. He teaches on information services, smart industries, and IT project management. Fons has a monograph on information services design by Taylor & Francis 2012 and has been the President of the AIS SIG Services (2011 and 2012). His work has been published in journals like Decision Support Systems, Internet Research, J of Management Information Systems, J of the Operations Research Society, J of Strategic Information Systems, J of the American Society on Information Science and Technology, and ACM Journal of Data and Information Quality.
Title: Regulating economic power: what role for competition law? - talk given by Victoria Daskalova
- Abstract: Competition law is the field of law meant to protect the working of the market from the exercise of economic power and from anticompetitive agreements. However, there are a number of situations in which power imbalances are present, yet antitrust law interventions remain limited. Examples are buyer power and relative market power in a number of sectors, including agriculture, labour and digital markets. These types of power can result in excessive prices and unfair trading practices for the weaker party, yet they often fall under the radar of competition law authorities. One explanation for this outcome are doctrinal limitations; another one is that the enforcement strategy of competition authorities does not prioritize such interventions due to a limited understanding or unwillingness to intervene in such situations with competition law instruments. Instead, solutions have been sought by introducing other regulatory instruments with unclear effectiveness. This raises the question: what should be the role of competition law in regulating power? The question is all the more relevant now due to a growing interest in fairness, in particular in digital markets.
- Bio: Dr. Victoria Daskalova is an Assistant Professor in Law, Governance and Technology at the Department of Governance and Technology for Sustainability (CSTM). University of Twente in the Netherlands. Her research explores the possibilities for reconciling fairness and efficiency primarily in the field of competition law, in particular in cases involving unfair trading practices, monopsony and buyer power.