程序代写案例-CP3401

​CP3401
E-STRATEGIC MANAGEMENT
ASSESSMENT 3



Emotion AI, possible for computers to have feelings?


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Name : Prachi Santosh Sawant
Student Id: 13707330

Emotion AI, possible for computers to have feelings?

Description

I have chosen Emotion AI for my report. It is an emerging technology as per Gartner’s
hype cycle 2019. ​It is also known as affective computing, or artificial emotional
intelligence.​ Emotions are defined as complex states of feelings that result in a physical
and psychological change that influence thought and behaviour. Basic emotions mainly
include happiness, sadness, anger, fear or even disgust. The emotions that we feel
each day can force us to implement actions and also influence the decisions - both big
and small, which we make in our lives.
With that in mind, Emotion AI is a tool which lets humans have a natural interaction with
machines. AI is used to understand and analyse the emotional state of a user. This can
be done via computer vision, sensors, software logic, audio/voice input etc. This would
allow the technology to have more humanlike qualities and make technology more
empathetic to the emotional states of the users. This technology enables humanoid
qualities for Personal Assistant Robots. It would also increase emotional capability,
which is a vital element to intensify interaction and communication between users and
Personal Assistant Robots.
There are three types of Emotion AI-
○ Text analysis: Which analyses emotions based on text.
○ Voice analysis: Which analyses emotions based on voice.
○ Facial expression analysis: Which analyses emotions based on
facial expressions.
The idea of emotion AI has been around at least since 1995 ​when MIT Media lab
professor Rosalind Picard published “​Affective Computing​.
According to Gartner's hype cycle 2019, Emotion AI is located at innovative trigger. This
means that more research is yet to be done for this technology and also a lot of time
would pass before this technology can be used by us in the real world.

Swot Analysis


The strengths for emotion AI include:
● Increase in the productivity of the workforce:
The workforce can make use of the technology to do a number of things. This would
then reduce the workload and they have time to do other things. The process will be
done in a much faster way. The day to day tasks can also be delegated which would
save a lot of money for a lot of companies.This increases the efficiency of the workings
in the companies.
● Used in many industries:
It is used in many industries such as healthcare and marketing. It can be used for a
number of tasks such as using facial recognition, voice access etc. The spread of this
technology would be helpful for efficiency in the industries.
● Better quality of life:

The use of this technology is not only limited to the workforce. Currently it is used in
households as well, in the form of alexa or google home. ​These devices make
managing the home easier and can reduce the cost of electricity. This would lead to an
increase in the number of smart homes all over the globe.
The weaknesses of emotion AI consist of:
● It would still remain inhuman:
AI is overall a technology. It can come up with many algorithms, it might be a machine
but however it can never be a human. It is therefore limited. It can never be a complete
solution but just a tool. It may be able to analyse human emotions, but never act as a
human. Nor will it be able to communicate emotionally with a human, it would just be a
plain communication.
● It might outsmart us:
Currently this technology is only used to complete tasks, grasp and retain information.
However in the future, the technology might be able to act on its own - redesigning and
improving without any input from the humans.
● Governments are slow into comprehending it:
What are the limits for ethics for this technology? This is a big question for the
governments of countries all over the world. Bills, regulations, and laws aren’t keeping
up with the rapid development of technology. Even Congress doesn’t fully understand
how the internet works​, so what hope is there for the ethical use of AI? Thus not many
countries would be comfortable with adapting to this technology or use it to its full
potential.
The opportunities available for the technologies are:
● New technologies can be combed into AI:
This technology can be associated with others as well such as machine learning, deep
learning, and the Internet of Things (IoT). This would help solve even more complex
problems. It could even be merged into programming. This would help a lot of industries
especially in customer service as it will provide intensified solutions to problems.
● Inventions to help people with disabilities:
This technology can be used for motor vehicles as well. This would help people with
disabilities to operate them, with their voice, with text etc. Tesla uses this technology
and their car models can self drive and even park without the assistance of humans.
This technology would not only be useful for the automobile industry but for many other
industries as well. This would help people with disabilities to do more tasks without
hindrance which they currently are not able to do.
● Not much strain on the workforce:
As said in both, strengths and weaknesses, this technology will reduce human efforts
required in tasks. This technology will help make day to day boring tasks automated.
This would allow the workforce to concentrate more on bigger tasks and decision
making.
The threats of emotion AI:
● Lead to loss of jobs:
As this technology would do tasks for the workforce, there will be job losses. We can
currently see job losses already due to automation. Currently there are cashiers who
are sacked due to options of self-checkouts. Due to this, the current job market has to
adapt to these situations. So that the option of replacement would be taken out and the
workforce can work hand in hand with these technologies.
● Possibility to lose control over AI:
This may be a threat far away in the future, but it is still a threat. There was a computer
named Watson in 2011. It was owned by IBM. It won around US$5 million in a game
show known as Jeopardy. It was smarter than any human as it used machine learning
and analytical software. This was around 10 years ago, when the technology had just
emerged. However currently with so much more developments, we should keep in mind
the consequences if we infuse computers with sentiments and emotions.

● Consequences might be faced if AI goes wrong:
There are currently situations where using AI has been discussed in medical operations,
driving cars, operating machineries. However there is always the risk of some
malfunction to happen. It might also catch viruses and malfunction. These mistakes
might have serious consequences such as loss of life, oil spills due to machinery
defects etc. All these should be kept in mind.

Current uses and applications
Currently emotion AI is used in many industries. These include:
● Medical diagnosis: Programming can assist specialists with the
determination of illnesses, for example, sadness and dementia by utilizing
voice investigation.
● Patient care: A 'nurse bot' not just reminds more established patients on
long haul clinical projects to take their prescription, yet additionally chats
with them consistently to screen their general prosperity.
● Video gaming: Utilizing PC vision, the game support/computer game
distinguishes feelings by means of outward appearances during the game
and adjusts to it.
● Employee safety: In light of Gartner customer requests, interest for worker
security arrangements are on the ascent. Feeling AI can assist with
breaking down the pressure and nervousness levels of workers who have
requesting occupations, for example, specialists on call.
● Car safety: Car merchants can utilize PC vision innovation to screen the
driver's enthusiastic state. An outrageous passionate state or languor
could trigger an alarm for the driver.
● Education: Learning programming models have been created to adjust to
children's feelings. At the point when the kid shows disappointment on the
grounds that an assignment is too troublesome or too basic, the program
adjusts the errand so it turns out to be less or additionally testing. Another
learning framework assists medically introverted kids with perceiving
others' feelings.
● Autonomous car: Later on, the inside of self-governing vehicles will have
numerous sensors, including cameras and amplifiers, to screen what's
going on and to see how clients see the driving experience.
● Fraud detection : Insurance agencies use voice investigation to identify
whether a client is coming clean while presenting a case. As per free
overviews, up to 30% of clients have confessed to misleading their vehicle
insurance agency to acquire inclusion.
● Recruiting: Programming is utilized during prospective employee meet-ups
to comprehend the validity of an applicant.
● Call center intelligent routing: An irate client can be recognized from the
earliest starting point and can be directed to an all around prepared
specialist who can likewise screen progressively how the discussion is
proceeding to change.
● Connected home: A VPA-empowered speaker can perceive the state of
mind of the individual connecting with it and react likewise.
● Public service: Associations between feeling AI innovation merchants and
reconnaissance camera suppliers have arisen. Cameras out in the open
spots in the United Arabic Emirates can recognize individuals' outward
appearances and, thus, comprehend the overall mind-set of the populace.
This task was started by the country's Ministry of Happiness.
● Retail: Retailers have begun investigating introducing PC vision feeling AI
innovation in stores to catch segment data and guests' disposition and
responses.


Current maturity and future predictions
As per Gartner, Emotion AI’s maturity is near Peak of Inflated Expectations. It will take
around 5-10 years to reach to the Plateau of Productivity.



Later on, Artificial Intelligence (AI) shows up prone to impact promoting methodologies,
including plans of action, deals cycles, and client support alternatives, just as client
practices. These approaching changes may be best perceived utilizing three illustrative
cases from different ventures . To start with, in the transportation business, driverless,
AI-empowered vehicles might be practically around the bend, promising to modify both
plans of action and client conduct. Taxi and ride-sharing organizations should advance
to try not to be underestimated by AI-empowered transportation models; interest for
accident coverage (from singular clients) and breathalyzers (less individuals will drive,
particularly in the wake of drinking) will probably decrease, though interest for security
frameworks that shield vehicles from being hacked will expand (Hayes 2015). Driverless
vehicles could likewise affect the allure of land, since (1) driverless vehicles can move
at quicker paces, thus drive times will diminish, and (2) drive times will be more gainful
for travelers, who can securely work while being headed to their objective. Thus, distant
may turn out to be more alluring, opposite the case today.
Second, AI will influence deals measures in different businesses. Most salesmen still
depend on a call (or same) as a basic piece of the business cycle. Later on, sales reps
will be helped by an AI specialist that screens tele-discussions continuously. For
instance, utilizing progressed voice examination capacities, an AI specialist may have
the option to derive from a client's tone that an unmentioned issue stays an issue and
give ongoing input to manage the (human) sales rep's next methodology. In this sense,
AI could expand salespersons' abilities, however it likewise may trigger unintended
pessimistic results, particularly if clients feel awkward about AI checking discussions.
Likewise, later on, firms may fundamentally utilize AI bots,Footnote1 which—at
times—work just as human sales reps, to connect with deals possibilities. However, the
risk stays that if clients find that they are interfacing with a bot, they may get awkward,
setting off negative outcomes.
Third, the plan of action as of now utilized by online retailers for the most part expects
clients to put orders, after which the online retailer dispatches the items (the
shopping-then-transportation model—Agrawal et al. 2018; Gans et al. 2017). With AI,
online retailers might have the option to anticipate what clients will need; accepting that
these forecasts accomplish high precision, retailers may progress to a transportation
then-shopping plan of action. That is, retailers will utilize AI to recognize clients'
inclinations and boat things to clients without a proper request, with clients having the
alternative to restore what they needn't bother with (Agrawal et al. 2018; Gans et al.
2017). This move would change retailers' promoting techniques, plans of action, and
client practices (e.g., data search). Organizations like Birchbox, Stitch Fix and Trendy
Butler as of now use AI to attempt to foresee what their clients need, with fluctuating
degrees of accomplishment.
AI will change the essence of promoting methodologies and clients' practices. Indeed, a
review by Salesforce shows that AI will be the innovation generally received by
advertisers in the coming years (Columbus 2019). The vital elements to permit AI to
convey its guarantees might be set up as of now; it has been expressed that "this exact
instant is the incredible enunciation purpose of history" (Reese 2018, p. 38).
References
Burke, B. & Smith, D. (2019, August 6). Hype Cycle for Emerging Technologies, 2019.
Gartner​. Retrieved from
https://www.gartner.com/doc/reprints?id=1-1OCGHJG9&ct=190801&st=sb

Cherry, K. (2019, November 19). The Purpose of Our Emotions. ​Verywell Mind​.
Retrieved from ​https://www.verywellmind.com/the-purpose-of-emotions-2795181

Cherry, K. (2019, September 9). Overview of the 6 Major Theories of Emotion. ​Verywell
Mind​. Retrieved from ​https://www.verywellmind.com/theories-of-emotion-2795717

Cherry, K. (2020, January 13). The 6 Types of Basic Emotions and Their Effect on
Human Behavior. ​Verywell Mind​. Retrieved from
https://www.verywellmind.com/an-overview-of-the-types-of-emotions-4163976

Moore, S. (2018, September 11). 13 Surprising Uses For Emotion AI Technology.
Gartner​. Retrieved from
https://www.gartner.com/smarterwithgartner/13-surprising-uses-for-emotion-ai-technolo
gy/

Somers, M. (2019, March 8). Emotion AI, explained. ​MIT Management​. Retrieved from
https://mitsloan.mit.edu/ideas-made-to-matter/emotion-ai-explained

Sun, M. (n.d.). How Emotional AI Can Benefit Businesses. ​Appier​. Retrieved from
https://www.appier.com/blog/how-emotional-ai-can-benefit-businesses/







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