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Mini Track Chair:
The diffusion of rapidly improving, powerful artificial intelligence (AI) technologies is rendering automated decision making an increasingly common component of organizational processes, in which employees, managers, clients and the public are more and more facing a reality where machines make ‘decisions’ that are implemented without always meaningful avenues for questioning and redress. While AI and its employment in organizations has made great progress over the last decade, often for the better, there is often a countervailing harm that tends to affect more vulnerable members of the workforce and society. The central objective of this mini-track is to offer a managerial, business ethics, perspective on how social, commercial, and political actors can ensure accountability in algorithmic decision-making processes. It aims at tackling issues associated with algorithmic opacity such as lack of recourse on the user side, bias, and discrimination.
The main topics covered by the hereby call for papers are related to:
Christian FIESELER
After stations at the University of St. Gallen, and as visiting researcher and faculty associate at the Universities of Harvard and Stanford, Christian currently serves as full professor for Communication and Management at the Department of Communication and Culture at BI Norwegian Business School in Oslo, Norway, where he dedicated the last five years to building an interdisciplinary research group (the Nordic Centre for Internet and Society) and a solid curriculum at the intersection of New Media, Digital Technologies and Society.
Miruna MAZURENCU MARINESCU PELE
is full professor, Ph.D., of Statistics and Econometrics within Bucharest University of Economic Studies, Department of Statistics and Econometrics. She is also a MBA graduate of the Conservatoire National des Arts et des Metiers of Paris. Dr. Mazurencu Pele is a Fulbright grantee and a Romanian Academy of Science post-doctoral fellow. She is a local expert of FAO and Phare and project director of several national and international projects. Her articles are published in various international and national journals. Her area of expertise is multidimensional analysis of economic phenomena, the econometric modelling of the ICT based businesses performance and their valuation as well as quantitative methods applied in regional science.
Mihai Sacală
is full professor for the Statistics and Econometrics Department of ASE Bucharest, carries out research in areas of interest such as financial markets, health, agriculture and artificial intelligence. He was part of national and international research teams, contributing to the creation of policies of public and private interest.
