The UTAUT model ( Unified Theory of Acceptance and Use of Technology ) by Venkatesh (2003) is the most comprehensive and it is often used for measure the acceptance of (innovative) technology, so you can adapt questionnaire to your field of interest (AI).

Firstly, I would recommend you to define the concept of artificial intelligence and its application. Secondly, I would define the keywords users.

Assuming the users are non-computer scientists, I would say they may not be aware that some form of AI or machine learning helps them with their everyday task on their phone.

Assuming the users are computer scientists, then they may only think of neural network platforms. Outside this network of researchers, many machine learning users applies some well-known libraries without understanding how they work. They may not validate properly their results. AI is more than neural network, but also some data science, application of predictive statistics, automated design of algorithms, automated debugging tools ...

Good luck

The UTAUT model ( Unified Theory of Acceptance and Use of Technology ) by Venkatesh (2003) is the most comprehensive and it is often used for measure the acceptance of (innovative) technology, so you can adapt questionnaire to your field of interest (AI).

I am currently looking into a similar issue about robotics, which has been already explored a bit with studies using UTAUT, TAM and similar. As we are also looking at AI related technologies, I would recommend better defining what you mean with AI and try to categorize which AI products you are looking to evaluate. Backend ML technologies are very different from AI voice assistants but are often grouped together when generally speaking about AI these days.

Another way of looking at the problem is taking more of a marketing - market research approach. One interesting study i recently came across is this one: Premarket Forecasting of Really-New Products by Urban, Glen L.; Weinberg, Bruce D.; Hauser, John R.

We are looking to use results in design-oriented projects, so this kind of marketing approach seems better suited than the TAM models.

Dear Friends and Colleagues of RG

Yes, I fully support. What is needed is a model of artificial intelligence level analysis, because in various applications, in various branches of industry, various solutions of artificial intelligence are created in various computerized information services on the Internet. These are very diverse technological solutions, differing in the level of advancement of algorithmic data processing and learning automatism of a given generation of artificial intelligence. In connection with the above, it is necessary to develop a system, a model that will allow to identify a specific deal and the level of advancement and to classify a given generation of artificial intelligence.

Best wishes