Accountable Governance and Responsible Innovation in Artificial Intelligence

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Mini Track Chair:

Christian FIESELER, BI Norwegian Business School in Oslo, Norway
Miruna MAZURENCU, Bucharest University of Economic Studies, Romania
Mihai SACALĂ, Bucharest University of Economic Studies, Romania

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:

Ethical AI Development and Deployment
Analyzing the role of government regulations in AI
Legal and policy frameworks for ensuring AI accountability
Transparency and Explainability in AI
Techniques and tools for making AI systems more transparent
Addressing the “black box” problem in machine learning
Strategies for explaining AI decisions to stakeholders
AI Bias and Fairness
Discussing the challenges of bias in AI algorithms
Examining the impact of AI on the workforce
Strategies for retraining and upskilling in the AI era
Incorporating AI ethics and accountability into educational curricula
Training the next generation of AI professionals with responsible AI principles
Research and innovation in AI ethics education
Using surveys and experiments to assess ethical decision-making by AI systems
Quantifying the ethical considerations of AI developers and users
Measuring the transparency of AI algorithms and models
Quantifying the comprehensibility of AI-generated explanations
Assessing the impact of transparent AI on user trust and accountability

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.