Congress of Artificial Intelligence-Human Interaction in Business

AIHB-2022

"The best way to predict the future is to invent it." |Alan Kay

A radical change is expected in social life, business and academic world thanks to the exponential developments experienced in artificial intelligence technology. With the new age which is called as II. Machine Age, Artificial Intelligence Age and Humanity 3.0 etc., our pre-existing habits, way of working, practices, concepts, and definitions will 'change', as we have already started to feel. Today, social and academic circles discuss what this age will bring. As the computer scientist Alan Kay put it; "The best way to predict the future is to invent it." The decisions we give and the actions we take today, will determine the future of our planet. As we are on the verge of this new age, the role artificial intelligence will assume and its interaction with human beings can only be determined depending on the predictions we will make on the basis of strong foundations and the firm steps we will take. Our congress is focused on this issue.

The key subjects of the congress 

• Fields of use and effects of the artificial intelligence in the world of business today,
• Potential roles artificial intelligence may assume in business in the future and
• Interaction of artificial intelligence with human beings.

Purpose of Congress

The congress is expected to contribute to the predictions about the interaction between artificial intelligence and human in business by means of the discussions of the identified key points.

Congress Language

Turkish-English

Congress Venue

Cappadocia University, Ürgüp Mustafapaşa Campus. 

Contact

Dr. Aslıhan Ünal

E-mail 1: aihb@kapadokya.edu.tr

E-mail 2: aslihan.unal@kapadokya.edu.tr

Congress web-site: aihb.kapadokya.edu.tr

Proceedings Book

The congress is open to international participation. Full text papers written in Turkish, or English will be accepted; the papers accepted will be published as a printed book and e-book with ISBN and e-ISBN codes. 

Review Process

Authors are primarily expected to submit an abstract of 500-600 words covering the problem, purpose, the hypothesis (if any), method and scope. Researchers of the accepted abstracts will be able to participate with the full text. The papers will be reviewed through the double-blind review method. Full text papers will not be accepted if they are not compatible with the abstract.