Process Evaluation - Science topic

Generative artificial intelligence technology is currently being used to carry out various complex activities, to solve tasks intelligently, to implement multi-criteria processes, to create multi-faceted simulations and generate complex dynamic models, to creatively perform manufacturing processes that require processing large sets of data and information, etc., which until recently only humans could do. Recently, there have been attempts to create computerized, intelligent analytical platforms, through which it would be possible to forecast complex, multi-faceted, multi-criteria, dynamically changing macroprocesses, including, first of all, long-term objectively realized economic, social, political, climatic, natural and other macroprocesses. Based on the experience to date from research work on the analysis of the development of generative artificial intelligence technology and other technologies typical of the current Fourth Technological Revolution, technologies categorized as Industry 4.0/5.0, the rapidly developing various forms and fields of application of AI technologies, it is clear that the dynamic technological progress that is currently taking place will probably increase the possibilities of building complex intelligent predictive models for multi-faceted, complex macroprocesses in the years to come. The current capabilities of generative artificial intelligence technology in the field of improving forecasting models and carrying out forecasts of the formation of specific trends within complex macroprocesses are still limited and imperfect. The imperfection of forecasting models may be due to the human factor, i.e., their design by humans, the determination by humans of the key criteria and determinants that determine the functioning of certain forecasting models. In a situation where in the future forecasting models will be designed and improved, corrected, adapted to changing, for example, environmental conditions at each stage by artificial intelligence technology then they will probably be able to be much more perfect than the currently functioning and built forecasting models. Another shortcoming is the issue of data obsolescence and data limitation. There is currently no way to connect an AI-equipped analytical platform to the entire resources of the Internet, taking into account the processing of all the data and information contained in the Internet in real time. Even today's fastest quantum computers and the most advanced Big Data Analytics systems do not have such capabilities. However, it is not out of the question that in the future the dynamic development of generative artificial intelligence technology, the ongoing competition among leading technology companies developing technologies for intelligent chatbots, robots equipped with artificial intelligence, creating intelligent control systems for machines and processes, etc., will lead to the creation of general artificial intelligence, i.e. advanced, general artificial intelligence that will be capable of self-improvement. However, it is important that the said advanced general advanced artificial intelligence does not become fully autonomous, does not become completely independent, does not become out of the control of man, because there would be a risk of this highly advanced technology turning against man which would involve the creation of high levels of risks and threats to man, including the risk of losing the possibility of human existence on planet Earth.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

I am looking for a rigorous (preferably U.S. based) training in conducting program evaluations. Ideally, the training would include attention to formative, process evaluation as well as randomized control trials. Mixed methods a plus.

What is the theoretical side, which supports a variable Organization obstacles,  like (Bureaucratic management, available resources) as a Moderator between Behavior and Results in Kirkpatrick Model for evaluation training programs?

Thanks

HR Training evaluation process

I am in the process of evaluating my dissertation topic. I am looking for a public reference list of resources related to CBE. 

I'm designing a process evaluation to evaluate clinical practice around wound dressings. One of the methods I will be using is observation. I'm looking for tips/ideas of how to efficiently observe how dressings are put on after surgery and looked after subsequently. Has anyone got any tips/ideas/references that could help me?

The training cascade has three tiers [facilitators, trainers and participants] and I am conducting a process evaluation of developing the training, delivering the training to trainers and supporting trainers to deliver the programme to the next tier i.e. participants.  I am trying to identify the factors that supported the trainers to deliver the training to participants and what impeded them.  At the end of the study, I am now looking for a theoretical framework within which to discuss the findings.  Any and all help would be appreciated.

I am in the process of evaluating EEG/EMG data from mice to detect sleep stages. According to literature, the most systems used are Neuroscore and Sleepsign. Can anyone help to identify the best with pros and cons? Any feedback would be greatly appreciated. Thanks.

I would like to evaluate activities of an organization working for small and medium enterprise development and promotion. What could be the best process? What are the major parts of it?  

- What is the relationship between monitoring, Impact Assessment and Evaluation of Activities? 

We try to load trehalose inside cytoplasm, want kind of technique currently available and discussed, how to control the process and evaluate the results

What criteria or factors should the new software process has to convince software practitioners to use it?

I am looking for instruments for the process evaluating a case study.

For example, we need to know the attributes/characteristics/factors to measure the quality of the agile development approach during the development process.