Incorporation of emotions to intelligent systems, how that could potentially be emulated and utilized in order to display the characteristics of intelligence that we recognise as humans. This theoretical design shall be called Samantha.
Artificial Intelligence designs utilize multi-agent systems (MAS). Such a design to be considered is the O.C.C model
Samantha will run under a multi-agent system where by each agent will be designed to execute a specific task as all agents will be interconnected and outputs will be prioritsed
The deciosn making process has been described by three step process as follows;
Samantha will require data input capabilities which can come in various formats such as spoken, gestures including movement and pre-coded inputs or other forms of information gathering techniques
operate by utilizing a multi-agent system. Each system shall have its own agenda and pre-coded basic commands. Some agents may target, for example, “micro-expressions” a task usually only persons trained to do so will detect. Recent research has considered this computational advantage due to the potential bandwidth capabilities that can far exceed that of human perceptions Krakovsky.
Having perceived and processed all relevant raw data, Samantha shall apply learned behaviours to the associated environment in order to achieve the most desirable result. Coupled with the MAS, a body of systems can utilize what has been described as the third layer in the PECS architecture as proposed by Urban and Schmidt.
Described in Cañamero’s article, multiple inut of different functions will be required in order to understand and apply emotions.
They are as follows;
Allows to rapidly and appropriately deal with dangers, unexpected events, and opportunities.
The categorisation of events as pleasant/unpleasant, beneficial/noxious turns neutral stimuli into something to be pursued or avoided.
Recognise its emotional state and use this as social reference to anticipate its possible behaviour or to assess the current situation
Cañamero, also proposes that artificial emotional systems should be guided by two main concerns. Firstly, the design must be guided by the following question:
What does this agent need emotions for, in the current environment it intends to inhabit? Secondly, Careful not to put more emotional machinery in the system than what is required by the complexity of the agent–environment interaction.
In line with further developments in the world of medicine, is the utilization of machine learning and application in medical diagnosis Day & Reynolds Due to the volume of potential data, the capacity at which an artificially intelligent interface may arrive at an accurate diagnosis through the collection of empirically sourced data. This advancement would enable physicians and other medical practitioners to focus the efforts to other areas, enabling greater use of time and an increase in efficiencies.
A potential disadvantage for an emotionally intelligent interface could be, if used in an extortionate practice, a tool in order to manipulate peoples’ emotions.
discussed in article by Isaak & Hanna, when Cambridge Analyitica,
through the social networking site Facebook, enabled and developed the ability to micro-target individual consumers or voters with messages most likely to influence their behaviour
(Anderson & Horvath, 2017)
Another disadvantage disadvantage to AI, is the regulation and application of accountability regarding outcomes enforceable by law. As stated in an article by Buiten (2019), when discussing transparency for algorithms, consideration should be given by programmers in specificity surrounding legal contexts and constraints.