With the recent progress in artificial intelligence (AI) algorithms, dramatic increase in computational capacities, and availability of big data necessary for training deep neural networks, a lot of AI applications became available at the market and automation tendencies started to penetrate all spheres of human activities and all industries. While the topic of AI has been getting a lot of media coverage and public attention, profound research on its socio-economic and policy effects, especially with regard to entrepreneurship, has yet to be developed. Moreover, methodological papers in artificial intelligence field have been mainly published in very technical venues and it is difficult for a broader publics to grasp the most recent developments in this area.
Therefore, the purpose of this special issue is to address these shortcomings. This special issue is the first initiative to interact the technical and methodological papers in AI with papers exploring socio-economic, entrepreneurship and policy effects of AI. It is also the first project to be co-edited by a professor specializing in statistics, international business and entrepreneurship, and an AI scientist working in the world’s largest private AI R&D lab- Element AI, which is the fastest growing AI start-up globally. This collaborative academia-industry editing format will ensure deep understanding of the most recent AI technologies, their applications, and their effects on business development and will allow for the subsequent selection of the most rigorous and relevant papers. This special issue encourages both qualitative and quantitative approaches, including advanced AI methods applied to the analysis of AI-related socio-economic and policy aspects.
Topics appropriate to this special issue include, but are not limited to, the following:
- New applications of AI advancing research in entrepreneurship and social sciences more generally
- New sources of data to support AI applications in business
- Cultural and gender issues in AI entrepreneurship
- Responsible data management and sharing of the data
- Business process optimization using AI
- Long term transformation of business models by AI
- AI policy-related impacts: implications for entrepreneurship and business development
- Ethics and AI entrepreneurship
- Creativity, entrepreneurial ideas and new startups driven by the intense use of artificial intelligence and machine learning
Expressions of interest in the form of an abstract and the author’s full contact information should be emailed to the guest editors by 30 January 2019. The editors will give a paper development workshop dedicated to help contributors of this special issue on May 4, 2019 during the 2019 Annual Conference of the Canadian Council for Business and Entrepreneurship (CCSBE). Participation in this workshop is not required but strongly encouraged. The topic of this conference is Entrepreneurship and the Dawn of our Artificial Intelligence-driven Future. Authors who are invited to submit their full papers will be required to format their manuscript according to the journal guidelines and submit to by June 30, 2019. All papers will be subject to double blind review.
- Guest Editor: Ekaterina Turkina , HEC Montreal (firstname.lastname@example.org )
- Guest Editor: Boris Oreshkin, Element AI