Introduction:

1. What is significant in the understanding of the law of AI and trying to define it, is that a human being  is always responsible for the initial programming. Certain types of AI subsequently takes over the task of writing code however the genesis is always a human being.                                                                                                                                                                                                                                                                                                         

   Defining the Law of Artificial Intelligence: 

   Finding A Baseline 

   The best way to define the law of AIR is to identify the methodology applied in defining  traditional areas of law. The law of persons is defined as follows; 

   "The law of persons is that part of private law which determines which beings are legal subjects when legal personality begins and ends, what          legal status involves, and what effect various factors such as, being born of unmarried parents minority and mental incapacity, have on a                                                       person's legal status" "The south African law of persons"  Jacqueline Heaton  fifth edition LexisNexis.                                Going forward we can utilise this definition as a baseline.                                                                                                                                                                    

   Is AI Law Robotics Law?                                     

   Secondly what is the difference between AI and robots? This is important in identifying the thing that becomes the object of law. In other words does the robot act, or is it the AI that acts? Logic will dictate that a robot always acts on the instructions of AI (if a robot acts on the instructions of a human being AI does not apply nor does ICT law). Logic further dictate that the law of AI and Robots are one and the same on the condition that AI drives the output of a robot. In the event that a robot is not involved but a computer program, the output of the program becomes the subject of the law.                           

                                                                                                                                                                                                                                   The first suppositions: (a belief held without proof or certain knowledge; an assumption or hypothesis) 

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3. (1)  The law of AIR always applies to artificial intelligence. 

1. (2)  Should a robot's output not be instructed by AI but solely on the instructions of a human, traditional law applies and not the law of AIR.

1. Where it all starts: Automation and Simulated Intelligence

1. Defining the law of Air necessitates an understanding of the nature and purpose of AI. Automation and simulated intelligence are interlinked to its purpose and functionality.

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3.         "The field of Artificial Intelligence (AI) was officially born and christened at a workshop organized by John McCarthy in 1956 at the                                                     Dartmouth Summer Research Project on Artificial Intelligence. The goal was to investigate ways in which machines                                         could be made to simulated aspects of intelligence—the essential idea that has continued to drive the field forward ever since." " 

4.                                                         Stanford "One Hundred Year Study on Artificial Intelligence"

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6. Autonomousity can be said to be the ultimate goal of AI. Although, that is not what defines it. Its birth right is simulated human intelligence. The difference lies in the fact that direct human input (of information) could result in AI output, while lacking autonomousity. Similarly artificial intelligence and machine learning are also not the same thing. 

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8.                 "artificial intelligence and machine learning are not the same, but they are closely related. Machine learning is the method to train a                          computer to learn from its inputs but without explicit programming for every circumstance. Machine learning helps a computer to                                        achieve artificial intelligence." Copeland, B.J.. "artificial intelligence". 

9.             Encyclopedia Britannica, 24 Aug. 2022, https://www.britannica.com/technology/artificial-intelligence.  Accessed 18 October 2022.

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11. The definition of AI:

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13.             "Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans                                                                              because they require human intelligence and discernment."
14. Copeland, B.J.. "artificial intelligence". Encyclopedia Britannica, 24 Aug. 2022, https://www.britannica.com/technology/artificial-intelligence. Accessed 18 October 2022.
    
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16. The definition of Autonomous artificial intelligence (AAI):

17. There is no specific recognized definition of AAI. Generally speaking AAI can be defined as; Artificial  Intelligence that has the capacity to act independently from human interaction through autonomous systems. 
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19. The U.S. Department of Energy Office of Scientific and Technical Information differentiates between AI and Autonomous artificial intelligence (AAI): 
20.             "AI technologies provide the underlying capability for autonomous systems. While autonomy is enabled by AI, not all uses of AI are                                  autonomous. For example, many AI capabilities are used to augment human decision making, rather than replace it."
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22. "AI is broadly characterized as "intelligence exhibited by machines, where intelligence is "that quality that enables an entity to function appropriately and with foresight in its environment". AI technologies are rooted in behavioural and neurosciences combined with computer science sub-disciplines such as Computer Vision, Natural Language Processing(NLP), Robotics(including Human-Robot Interactions),Search and Planning, and Social Media Analysis . 

23.                                   "AUTONOMOUS SYSTEMS, ARTIFICIAL INTELLIGENCE AND SAFEGUARDS" R.HADDAL, N.HAYDEN and S.FRAZAR

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