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CP3401 E-STRATEGIC MANAGEMENT ASSESSMENT 3 Emotion AI, possible for computers to have feelings? > 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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