Then,medical devices and technology used within the medical field are highly regulated.All these  to ensure safety of products and all the data generated in connection with development or use of the products are accurate and reliable.

Next two paragraph will briefly explained the overview of current regulatory framework in European Union and United States.

In European Union,Tsang,A.Kracov and 6 other Arnold&Porter’s members(2017) explained that software may fall within the definition of ’medical device’ under the Medical Devices Directive.The assessment to be a medical devices for AI will takes into account of product’s composition,manner in which it used,extent of distribution and the risk that may entail.However,this lengthy legislative process replaced by new medical device regulation that will apply as of May 26,2020.

On the other hand,in United States,Food and Drug Administration’s(FDA) take the job in regulating over medical device.All the AI fall into one of four categories of FDA regulated software that are Mobile Medical Apps(MMA),Medical Data Device System(MDDS),Software as a Medical Device(SAMD) and Clinical Decision Support Software(CDSS).However,enacted in 2016,the 21^st century Cures Act legislatively exempts certain software from the definition of a medical device.

Lastly,Future of Life Sciences(2018) supported that,in order to ensure sustainability of the technology,AI have to capture various forms of personal data. In EU,these rules overhauled by General Data Protection Regulation which applies from May 25,2018.While in the US,regardless of the classification,AI need to assess whether HIPAA rules apply to the technology.

Some of it’s capabilities include understanding sentences, making various facial expressions, having casual conversations, voice recognition and it can also asses people's emotion. Apart from that, this humanoid machine is able to animate 60 different facial expressions such as anger, disgust, happiness and even confusion. 

Sophia can also contribute to humanity by helping in scientific research. For instance, autism research. Job opportunities, especially in the robotic industry will start to increase as the result of the creation of these robots. 

The company is going to train sophia all the skills required for search and rescue operations. The latest version of sophia is already equipped with mechanical legs in order to train her for those operations (Dr Hanson, 2018). Medical depression treatment, medical education, insurance education and customer service are some of Sophia's application. 

The broad scope of application in service robotics market is useful for artificial intelligence development. (Dr Hanson, 2018)

In the future, these humanoids are going to play a huge role in our lives. Though, ethics and policies are to be developed for these robots to avoid any negative impact to the society and economy.

AI in medicine are used mostly for diagnosis and treament of patients. Before a patient is diagnosed, there are many background processes need to be done. The processes involved are gathering information from patient, running tests, analyzing the data, making an accurate diagnosis based on the data observed and choosing the best treatment for the patients. Some of the processes mentioned can be automated such as gathering information and making accurate diagnosis which will later benefit the doctors by freeing their time so they can focus more on higher-order tasks (Stockert, 2017). 

Besides lessen the task that is done manually and freeing doctor’s time, AI also help to rise the opportunity for medical field to achieve the aim of ‘precision medicine’. Usually in medical practice, the solution, treatment and drug are made based on the requirement of statistically average person which is known as ‘one-size-fits-all’ treatment. Personalized medicine is where treatment and prevention of a disease involved the each of the individual genes,  environment and lifestyle. With AI, medical field can easily move towards personalization and specific treatment (Meskó, 2017).

On top of that, it is believed that AI will never gain dominance over human in medicine in the future because there are things where only human can provide such as judgement, creativity and empathy (Susskind, 2016). Doctors and AI should actually learn on how to work and grow  together in order to expand the capabilities in medical field. 

In conclusion, artificial intelligence do bring a lot of advantage that can improves the potential in medical field . We also do not have to worry with the development of AI as it is improbable for AI to replace human doctors sooner or later, instead medical profession need to change by adapting and learning on how to improve alongside technological development.

My first point of view is AIs need to be trained and raised to not only perform a task  but to act as a responsible co-worker and representative of the company. Bob Violino (2018) mentioned in his article that AI systems are making decisions in a variety of industries today or will be doing so in the near future that could have an impact on virtually everything they touch. 

The author quoted a few opinions by Michael Biltz, director of Accenture Technology Vision at consulting firm Accenture. First, he clarified that AI should be viewed more like raising a child than programming an application because AI has grown to the point where it can have just as much influence as the people using it.

Next, my point is AI might have just as much potential to be a force for good in the world as there is no shortage of horror stories about AI. Technology using AI will have the capability to tackle variety of world issues. However, in the article, the author highlighted that Blitz argued about the standards of responsible or liable that should be taken by a govern or a company as a result of AI-based decisions. As example is autonomous vehicles have been created to avoid any accidents but the reality is that they are sure to be involved in accidents just like human drivers despite that we only have a clear understanding for defining fault and blame for human drivers, that does not yet exist for AI.

Lastly, AI is not here to replace human beings. It augments our abilities, enabling us to achieve greater efficiencies and to step up to higher levels of performance. As in the article, Blitz justified that AI need to be designed to augment the workforce by applying the capabilities of machines so people can focus on higher-value analysis, decision-making and innovation.

In conclusions, potential benefits for all can only be realized if we consider the ethical accountabilities that comes with AI at every stage from design to implementation and review.