Research survey "Defining (machine) Intelligence"
Welcome to this research survey on defining (machine) intelligence.

A recent survey of Artificial Intelligence (AI) educators by Michael Wollowski, Peter Norvig and others (Wollowski et al., 2016) showed a stark difference of opinion about the definition of Artificial Intelligence.

We invite you to participate in our survey to gather opinions on definitions of intelligence and Machine Intelligence from leading researchers.

Towards an agreed upon definition and ultimate research goal:

Understanding intelligence and how it may be recreated (and measured) is one of the major scientific challenges of our time. Our research shows that theories of intelligence and the goal of AI have been the source of much confusion both within the field and among the general public.

This survey is completed anonymously but if you would like to be notified when the paper is available or have your definition of intelligence be considered for inclusion (with your name alongside) in our coming research paper, then there is also the opportunity to add your name and email address.

Please send an invitation to any people that you feel may be interested and could contribute toward this important principle.

Thank you very much for your contribution!

Dr. Colin W. P. Lewis
Ph.D. in Behavioral Economics and Data Science, AGI Sentinel Initiative (

Prof. Dr. Dagmar Monett
Ph.D. in Computer Science
Berlin School of Economics and Law, AGI Sentinel Initiative (


Privacy statement:
Any personal information collected in this survey will be processed by researchers in accordance with the terms and conditions of the EU General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679). We will hold your data securely and not make it available to any third party unless permitted or required to do so by law.

Wollowski, M. et al. (2016). A Survey of Current Practice and Teaching of AI. In D. Schuurmans and M. Wellman (eds.), Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, pp. 4119-4124, Palo Alto, CA: AAAI Press.

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